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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Energy Res.</journal-id>
<journal-title>Frontiers in Energy Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Energy Res.</abbrev-journal-title>
<issn pub-type="epub">2296-598X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">861780</article-id>
<article-id pub-id-type="doi">10.3389/fenrg.2022.861780</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Energy Research</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Production Performance Analysis for Deviated Wells in Carbonate Gas Reservoirs With Multiple Heterogeneous layers</article-title>
<alt-title alt-title-type="left-running-head">Guo et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Deviated Wells Production Analysis</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Jianlin</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ning</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1649793/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Haijun</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jia</surname>
<given-names>Chengye</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yilong</given-names>
</name>
</contrib>
</contrib-group>
<aff>
<institution>Petro China Research Institute of Petroleum Exploration and Development</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1389365/overview">Qi Zhang</ext-link>, China University of Geosciences Wuhan, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1000097/overview">Wendong Wang</ext-link>, China University of Petroleum, Huadong, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1585519/overview">Mingxian Wang</ext-link>, Xi&#x2019;an Shiyou University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Bo Ning, <email>ningbo07@petrochina.com.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Advanced Clean Fuel Technologies, a section of the journal Frontiers in Energy Research</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>861780</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Guo, Ning, Yan, Jia and Li.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Guo, Ning, Yan, Jia and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Deviated wells are used to improve the performance of carbonate reservoirs with multiple heterogeneous layers and penetrate the &#x201c;sweet spot&#x201d; of each layer, which is full of fractures and vugs. It is difficult to consider in-layer and inter-layer heterogeneities simultaneously, and predict the production performance for these wells accurately. Therefore, a semi-analytical model to analyze the production performance of deviated wells in a multilayer heterogeneous stress-sensitive carbonate gas reservoir is proposed. For each layer, the inner region is a fractured-vuggy porous medium, while the outer region is merely a tight formation with matrix and formation properties, and penetrated inclination angles may be distinct. Pseudo-time/pressure factors are introduced to consider fracture stress sensitivity. Through the application of Laplace transformation, Fourier transform and inverse, Duhamel convolution, and Stehfest numerical inversion, the presented model is solved. The validity of this model is verified through comparison with single-layer composite formation with different porous mediums and vertical well in a multilayer carbonate gas reservoir. Moreover, by matching bottom-hole pressure data collected from a slanted well in the Anyue gas field, the applicability of this model is validated. A synthetic case, which has two composite formations, the first (upper) layer is more permeable than the second (lower) layer, is used to study the variations of inner region radius, fracture/matrix permeability, and inclination angles on production behaviors. The results show the properties of the first layer determine well bottom-hole pressure, whereas the rise of permeability, inner region radius and penetrated angle for the second layer can improve the gas recovery of this layer. In practice, to maintain well bottom-hole pressure with a relatively high level and enhance gas recovery of the tight layer, the inclination angle should be larger than 60&#xb0; for each layer, and be increased to as large as possible. The findings of this study can help for a better understanding of the production behaviors of deviated wells in multilayer heterogenous reservoirs and could provide some guidance for the design of well trajectory.</p>
</abstract>
<kwd-group>
<kwd>production behavior</kwd>
<kwd>deviate well</kwd>
<kwd>composite formation</kwd>
<kwd>stress sensitivity</kwd>
<kwd>multilayer carbonate gas reservoir</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>In many carbonate gas reservoirs, there are multiple distinct layers, and there is strong heterogeneity in different directions. Some regions have rich natural fractures, vugs, and are named the &#x201c;sweet spot,&#x201d; while other areas are tight and contain only matrix (<xref ref-type="bibr" rid="B10">Jia and Yan, 2014</xref>; <xref ref-type="bibr" rid="B20">Ma, et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B45">Yan, et&#x20;al., 2020b</xref>). Through the utilization of advanced 3D seismic inversion technology, we can precisely determine the location of the &#x201c;sweet spot&#x201d; for each layer. As the distribution of the &#x201c;sweet spot&#x201d; is random, to improve the production performance and economic benefits, a deviated well is always used to penetrate the &#x201c;sweet spot&#x201d; of different layers. However, the range of the &#x201c;sweet spot&#x201d; is limited, which makes the formation exhibit composite properties, and it is difficult to consider this distribution pattern for different layers simultaneously (<xref ref-type="bibr" rid="B8">Jia, et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B9">Jia, et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B44">Yan, et&#x20;al., 2020a</xref>). Moreover, the gas flow in the slanted wellbore is always complicated, and it is difficult to estimate the production performance. Hence, a reasonable model that can describe the gas flow in a deviated wellbore for multi-layer heterogeneous carbonate gas reservoir is essential. In addition, this model can also be used to differentiate the production contribution for each&#x20;layer.</p>
<p>For each layer in a multi-layer heterogeneous carbonate gas reservoir, it is an independent composite formation. For vertical wells in a composite reservoir, many mathematical models have been developed and analytical or semi-analytical solutions obtained. Some researchers employ these models to analyze pressure transient behaviors, to estimate production performance, and to acquire the reservoir and technical parameter values, such as the formation radius, reservoir permeability, and skin factor (<xref ref-type="bibr" rid="B25">Olarewaju and Lee, 1987</xref>; <xref ref-type="bibr" rid="B31">Prado and Da, 1987</xref>; <xref ref-type="bibr" rid="B26">Olarewaju and Lee, 1989</xref>; <xref ref-type="bibr" rid="B37">Turki, et&#x20;al., 1989</xref>; <xref ref-type="bibr" rid="B12">Kikani and Jr, 1991</xref>; <xref ref-type="bibr" rid="B27">Olarewaju and Lee, 1991</xref>; <xref ref-type="bibr" rid="B34">Satman, 1991</xref>). In the above mentioned models, under diverse circumstances, the inner area can be a fractured dual-porosity or triple-porosity formation, while the outer area is a tight reservoir. Except for the conventional reservoirs, these models have been widely used in unconventional reservoirs. For unconventional reservoirs, after stimulated reservoir volume (SRV) fracturing with horizontal wells, it is always assumed that the region surrounding the horizontal wellbore is dual porosity or triple-porosity media, while the other regions are tight formations. After reasonable modifications on the previous models, various composite models for describing MFHWs are presented to estimate the pressure and production rate transient behaviors (<xref ref-type="bibr" rid="B46">Zeng, et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B48">Zhao, et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B41">Wang, et&#x20;al., 2017</xref>). Due to the difficulties of solving these mentioned models, finite element and boundary elements have been employed to obtain numerical solutions (<xref ref-type="bibr" rid="B6">Fan, et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B33">Rana and Ertekin, 2012</xref>; <xref ref-type="bibr" rid="B43">Wu, et&#x20;al., 2018</xref>). Except for vertical and horizontal wells, recently, <xref ref-type="bibr" rid="B23">Meng, et&#x20;al. (2018)</xref> presented a composite model for deviated wells, where the natural triple-porosity reservoir is in the inner area and the outer area is the tight matrix. However, currently, this proposed model can only be used in a composite formation with a single&#x20;layer.</p>
<p>In terms of vertical wells in multi-layer reservoirs, many studies have analyzed for pressure and production behaviors, and these studies always assume that the pressure, reservoir and fluids properties, and boundary conditions are different from each other. (<xref ref-type="bibr" rid="B2">Cobb, et&#x20;al., 1972</xref>; <xref ref-type="bibr" rid="B32">Raghavan, et&#x20;al., 1974</xref>; <xref ref-type="bibr" rid="B16">Larsen, 1981</xref>; <xref ref-type="bibr" rid="B15">Kuchuk and Wilkinson, 1991</xref>; <xref ref-type="bibr" rid="B4">El-Banbi and Wattenbarger, 1996</xref>; <xref ref-type="bibr" rid="B5">El-Banbi and Wattenbarger, 1997</xref>; <xref ref-type="bibr" rid="B38">Vieira Bela, et&#x20;al., 2019</xref>). For some complex well types, the methods to obtain production behaviors are different from traditional approaches. Through comprehensive reviews, there are primarily three methods that can model gas flowing process, equivalent approximation, numerical, and analytical or semi-analytical approaches. For the equivalent approximation method, the wellbore in the perforated formation is approximately simplified into uniform flux fracture and modified with transient skin factor (<xref ref-type="bibr" rid="B17">Larsen, 1999</xref>; <xref ref-type="bibr" rid="B18">Larsen, 2000</xref>), which is greatly different from real circumstances. Numerical approaches, for example, the boundary or finite element method, can be utilized to obtain the pressure or production solution for complex wells in a multi-layer reservoir (<xref ref-type="bibr" rid="B11">Jongkittinarukorn and Tiab, 1998</xref>; <xref ref-type="bibr" rid="B13">Kuchuk and Habashy, 1996</xref>; <xref ref-type="bibr" rid="B14">Kuchuk and Saeedi, 1992</xref>), while it is difficult to use and time-consuming. Through the combination of the reflection and transmission principle, and the methods of Laplace transformation, Fourier transformation, and inversion, semi-analytical or analytical solutions can be acquired for these complex-structure wells in multi-layer formation with or without crossflow (<xref ref-type="bibr" rid="B1">Basquet, et&#x20;al., 1999</xref>; <xref ref-type="bibr" rid="B21">Medeiros, et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B30">Pan, et&#x20;al., 2010</xref>), whereas the accuracy for these solutions is not satisfied.</p>
<p>Through the above introductions for composite reservoir and multi-layer formation with diverse well structures, studies on composite models mainly apply to vertical and horizontal wells, although <xref ref-type="bibr" rid="B23">Meng et&#x20;al. (2018)</xref> presented the composite model for deviated wells in carbonate gas reservoirs, they assumed that the reservoir has one layer merely. In addition, <xref ref-type="bibr" rid="B22">Meng et&#x20;al. (2021)</xref> proposed a model for analyzing the production performance of slanted wells in multilayer carbonate reservoirs, whereas the interlayer heterogeneity is ignored. For the modeling of multi-layer formation in a complex well structure, the accuracy, efficiency, and applicability for the mentioned three methods should be improved further. Hence, in this article, a semi-analytical model is presented for deviated wells in multilayer heterogeneous carbonate gas reservoirs, where the individual layer is represented with triple-porous media in the inner region and a single porous medium in the outer region. The main novelty of this study lies in the consideration of in-layer and inter-layer heterogeneities simultaneously for stress-sensitive carbonate gas reservoirs with multiple layers. Furthermore, through the combination of some approaches, such as Laplace transform, Stehfest numerical inverse, Fourier transformation and inversion, Duhamel convolution, the pressure and production solutions for deviated wells are obtained.</p>
<p>The structure of this paper first presents physical and mathematical models, and the detailed solution process for this model is given. The validity of this presented model is then verified through a comparison of results with published data and a gas field case. Finally, the influences of prevailing factors, such as radius and natural fractures permeability for the inner region, matrix permeability for the outer region, and the penetrated inclination angle, on the production performance of individual layers are discussed and analyzed.</p>
</sec>
<sec id="s2">
<title>2 Physical Model and Mathematical Model</title>
<sec id="s2-1">
<title>2.1 Physical Model</title>
<p>
<xref ref-type="fig" rid="F1">Figure&#x20;1</xref> is a schematic diagram of a deviated well with varying inclination angles in a carbonate gas reservoir that has multiple heterogeneous layers. This multilayer reservoir has two layers, and for individual layers, the inner region near the inclined wellbore is a triple porous medium with fractures, vugs, and matrix, and the outer region only has a single medium with matrix. Compared with the second (lower) layer, the first layer has larger permeability and porosity, which is the main layer in this multilayer carbonate gas reservoir.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Schematic of inclined well in multilayer heterogeneous commingled carbonate reservoir.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g001.tif"/>
</fig>
<p>For the presented model, it is assumed that the reservoir is composed of <italic>n</italic> cylindrical and heterogeneous layers, which have closed boundaries in horizontal and vertical directions. The wells produce a constant gas flowing rate and the individual layer is penetrated completely and the flowing rate along the wellbore distributes uniformly. Since the model presented in this paper can be seen as the extension of the model developed by <xref ref-type="bibr" rid="B23">Meng, et&#x20;al. (2018)</xref>, assumptions about fluids, rocks, and flowing law for this model can be found in their paper. For any layer, the inclined wellbore is assumed to be located in the inner region. It should be noted that the range of the inner region is small whereas the deviated angle is large, thus the inclined wellbore can also penetrate the inner and outer regions simultaneously, and the above assumptions may not be reasonable. However, in this paper, these circumstances are not explored and could be studied further in the future.</p>
</sec>
<sec id="s2-2">
<title>2.2 Stress Sensitivity of Fracture Permeability</title>
<p>In carbonate reservoirs, due to the existence of natural fractures and vugs, many laboratory experiments and pilot tests show that the stress sensitivity is serious for naturally fractured-vuggy formation (<xref ref-type="bibr" rid="B39">Wang, et&#x20;al., 2016a</xref>; <xref ref-type="bibr" rid="B40">Wang, et&#x20;al., 2016b</xref>; <xref ref-type="bibr" rid="B47">Zhao, et&#x20;al., 2013</xref>). Therefore, it is crucial to consider this effect for fracture permeability of the inner region in the developed mathematical model. <xref ref-type="bibr" rid="B24">Meng et&#x20;al. (2017)</xref> assumed that the measured permeability is indeed fracture permeability. Using curve match with data from laboratory experiments, they obtained the relationship between the dimensionless permeability and net confining pressure, as shown in <xref ref-type="disp-formula" rid="e1">Eq. 1</xref>.<disp-formula id="e1">
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</sec>
<sec id="s2-3">
<title>2.3 Mathematical Model</title>
<sec id="s2-3-1">
<title>2.3.1 Pressure Solution for Deviated Wells With Unit Rate in Layer <italic>j</italic>
</title>
<p>According to the presented mathematical model, the point source solution with the unit rate for layer <italic>j</italic> in Laplace space can be obtained (see <xref ref-type="sec" rid="s11">Supplementary Appendix S1</xref>), given by <xref ref-type="disp-formula" rid="e2">Eq. 2</xref>. To simplify the form of equations, the relevant dimensionless variables are introduced, and the definitions of these variables are shown in <xref ref-type="table" rid="T1">Table&#x20;1</xref>.<disp-formula id="e2">
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<label>(2)</label>
</disp-formula>
</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Definition of dimensionless variables for layer <italic>j</italic>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variables</th>
<th align="center">Equation</th>
<th align="center">Variables</th>
<th align="center">Equation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Dimensionless length of <italic>x</italic> coordinate</td>
<td align="center">
<inline-formula id="inf1">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mrow>
<mml:mi>j</mml:mi>
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</mml:mrow>
</mml:msub>
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<mml:mrow>
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<mml:mtext>w</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:msqrt>
<mml:mrow>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:msub>
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<mml:mrow>
<mml:mtext>rai</mml:mtext>
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</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless production rate</td>
<td align="center">
<inline-formula id="inf2">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mi>q</mml:mi>
<mml:mrow>
<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
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<mml:msub>
<mml:mi>q</mml:mi>
<mml:mrow>
<mml:mtext>sc</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msub>
<mml:mi>B</mml:mi>
<mml:mrow>
<mml:mtext>gi</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
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</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless length of <italic>y</italic> coordinate</td>
<td align="center">
<inline-formula id="inf3">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>y</mml:mi>
<mml:mrow>
<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mi>y</mml:mi>
<mml:mrow>
<mml:msub>
<mml:mi>r</mml:mi>
<mml:mtext>w</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:msqrt>
<mml:mrow>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mrow>
<mml:mtext>rai</mml:mtext>
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</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless pseudo-pressure for fractures system</td>
<td align="center">
<inline-formula id="inf4">
<mml:math id="m6">
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<mml:mi>m</mml:mi>
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
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</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless vertical distance</td>
<td align="center">
<inline-formula id="inf5">
<mml:math id="m7">
<mml:mrow>
<mml:msub>
<mml:mi>z</mml:mi>
<mml:mrow>
<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mi>z</mml:mi>
<mml:mrow>
<mml:msub>
<mml:mi>r</mml:mi>
<mml:mtext>w</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless pseudo-pressure of vugs system</td>
<td align="center">
<inline-formula id="inf6">
<mml:math id="m8">
<mml:mrow>
<mml:msub>
<mml:mi>m</mml:mi>
<mml:mrow>
<mml:mtext>c</mml:mtext>
<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
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<mml:mi>k</mml:mi>
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</td>
</tr>
<tr>
<td align="left">Dimensionless length of mid-perforation in <italic>x</italic> coordinate</td>
<td align="center">
<inline-formula id="inf7">
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</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless pseudo-pressure of matrix in inner region</td>
<td align="center">
<inline-formula id="inf8">
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</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless length of mid-perforation in <italic>y</italic> coordinate</td>
<td align="center">
<inline-formula id="inf9">
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</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless pseudo-pressure of matrix in outer region</td>
<td align="center">
<inline-formula id="inf10">
<mml:math id="m12">
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</mml:mrow>
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</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless vertical space of mid-perforation</td>
<td align="center">
<inline-formula id="inf11">
<mml:math id="m13">
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<mml:msub>
<mml:mi>z</mml:mi>
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<mml:mtext>w</mml:mtext>
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
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</mml:msub>
</mml:mrow>
<mml:mrow>
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</mml:msub>
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</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless pseudo-pressure at initial condition</td>
<td align="center">
<inline-formula id="inf12">
<mml:math id="m14">
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<mml:mi>m</mml:mi>
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
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</mml:mrow>
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<mml:mo>&#x2212;</mml:mo>
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<mml:msub>
<mml:mi>B</mml:mi>
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</mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless radius</td>
<td align="center">
<inline-formula id="inf13">
<mml:math id="m15">
<mml:mrow>
<mml:msub>
<mml:mi>r</mml:mi>
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<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
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</mml:mrow>
</mml:mfrac>
<mml:msqrt>
<mml:mrow>
<mml:mfrac>
<mml:mn>1</mml:mn>
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</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless wellbore pseudo-pressure with unit rate</td>
<td align="center">
<inline-formula id="inf14">
<mml:math id="m16">
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<mml:mi>m</mml:mi>
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<mml:mo>&#x3d;</mml:mo>
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<mml:msub>
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<mml:msub>
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</mml:mrow>
</mml:mrow>
<mml:mtext>r</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless radius of inner region</td>
<td align="center">
<inline-formula id="inf15">
<mml:math id="m17">
<mml:mrow>
<mml:msub>
<mml:mi>R</mml:mi>
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<mml:mn>1</mml:mn>
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<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>R</mml:mi>
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</mml:msub>
</mml:mrow>
<mml:mrow>
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</mml:mrow>
</mml:mfrac>
<mml:msqrt>
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</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless wellbore transient pseudo-pressure</td>
<td align="center">
<inline-formula id="inf16">
<mml:math id="m18">
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
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</mml:msub>
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</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless radius of outer region</td>
<td align="center">
<inline-formula id="inf17">
<mml:math id="m19">
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</inline-formula>
</td>
<td align="left">Dimensionless wellbore pseudo-pressure</td>
<td align="center">
<inline-formula id="inf18">
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</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless infinitesimal variable</td>
<td align="center">
<inline-formula id="inf19">
<mml:math id="m21">
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</mml:msub>
<mml:mo>&#x3d;</mml:mo>
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<mml:msqrt>
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<mml:mtext>rai</mml:mtext>
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</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Dimensionless pseudo-time</td>
<td align="center">
<inline-formula id="inf20">
<mml:math id="m22">
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</mml:mrow>
<mml:mrow>
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</mml:mrow>
<mml:mrow>
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</mml:mrow>
<mml:mrow>
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</mml:mrow>
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<mml:msub>
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</mml:mrow>
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<mml:mtext>r</mml:mtext>
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<mml:mfrac>
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<mml:mrow>
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</mml:msubsup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Dimensionless formation thickness</td>
<td align="center">
<inline-formula id="inf21">
<mml:math id="m23">
<mml:mrow>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mrow>
<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>h</mml:mi>
<mml:mi>j</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>r</mml:mi>
<mml:mtext>w</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Interporosity flow coefficient of fractures and matrix</td>
<td align="center">
<inline-formula id="inf22">
<mml:math id="m24">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mrow>
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<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
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<mml:mrow>
<mml:mtext>m</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mrow>
<mml:mrow>
<mml:mtext>m</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mtext>i</mml:mtext>
</mml:mrow>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
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<mml:mrow>
<mml:mtext>fi</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:msubsup>
<mml:mi>r</mml:mi>
<mml:mtext>w</mml:mtext>
<mml:mn>2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Diffusivity coefficient ratio of inner region</td>
<td align="center">
<inline-formula id="inf23">
<mml:math id="m25">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b7;</mml:mi>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b7;</mml:mi>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b7;</mml:mi>
<mml:mtext>r</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Interporosity flow coefficient of fractures and vugs</td>
<td align="center">
<inline-formula id="inf24">
<mml:math id="m26">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3bb;</mml:mi>
<mml:mrow>
<mml:mtext>c</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mrow>
<mml:mtext>c</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mrow>
<mml:mtext>ci</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mrow>
<mml:mtext>fi</mml:mtext>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:msubsup>
<mml:mi>r</mml:mi>
<mml:mtext>w</mml:mtext>
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</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Diffusivity coefficient ratio of outer region</td>
<td align="center">
<inline-formula id="inf25">
<mml:math id="m27">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b7;</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>j</mml:mi>
<mml:mtext>D</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3b7;</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
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</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
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<mml:mtext>r</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="left">Storativity ratio of matrix for inner region</td>
<td align="center">
<inline-formula id="inf26">
<mml:math id="m28">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mrow>
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<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
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<mml:msub>
<mml:mrow>
<mml:mrow>
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</mml:msub>
</mml:mrow>
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</mml:mrow>
</mml:mrow>
<mml:mrow>
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</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
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<mml:mtext>t</mml:mtext>
</mml:msub>
</mml:mrow>
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</mml:mrow>
</mml:mrow>
<mml:mrow>
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<mml:mn>1</mml:mn>
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<mml:mtext>c</mml:mtext>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
</tr>
<tr>
<td align="left">Mobility coefficient ratio of inner region</td>
<td align="center">
<inline-formula id="inf27">
<mml:math id="m29">
<mml:mrow>
<mml:msub>
<mml:mi>M</mml:mi>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mrow>
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<mml:mrow>
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</mml:msub>
<mml:mi>h</mml:mi>
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</mml:mrow>
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</mml:mrow>
<mml:mi>j</mml:mi>
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</mml:mrow>
<mml:mrow>
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<mml:mi>h</mml:mi>
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<p>Since the perforated inclined wellbore in the individual layer is seemed as the line source with uniform flux, based on the superposition principle, and the rotation transform of coordination developed by <xref ref-type="bibr" rid="B28">Ozkan and Raghavan (1991a)</xref>, <xref ref-type="bibr" rid="B29">Ozkan and Raghavan (1991b)</xref>, the dimensionless pressure in Laplace space for the deviated well section in layer <italic>j</italic> could be acquired by integrating on <xref ref-type="disp-formula" rid="e2">Eq. 2</xref> numerically, and the expression can be written as<disp-formula id="e3">
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</sec>
<sec id="s2-3-2">
<title>2.3.2 Evaluation on Production Performance for Deviated Wells</title>
<p>As the formation pressure and properties are different for diverse layers, the gas production rate for each layer may vary with time. For this situation, it could be handled with the Duhamel theorem (<xref ref-type="bibr" rid="B36">Spath, et&#x20;al., 1990</xref>), and the general formula could be obtained:<disp-formula id="e6">
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</p>
<p>The bottom-hole flowing pressure for any layer is seen as equally:<disp-formula id="e8">
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<p>After the simple transformation on <xref ref-type="disp-formula" rid="e7">Eq. 7</xref>, the dimensionless production rate in the Laplace domain <inline-formula id="inf32">
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</disp-formula>
</p>
<p>It can be seen from <xref ref-type="disp-formula" rid="e6">Eq. 6</xref> that the sum of dimensionless production rate for all layers is equal to one. After the Laplace transformation about dimensionless production rate term, substituting <xref ref-type="disp-formula" rid="e9">Eq. 9</xref> into <xref ref-type="disp-formula" rid="e7">Eq. 7</xref>, then the dimensionless bottom-hole flowing pressure in Laplace domain could be written as:<disp-formula id="e10">
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<label>(10)</label>
</disp-formula>
</p>
<p>Substituting the solution of the inclined well section, <inline-formula id="inf33">
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</inline-formula>, <xref ref-type="disp-formula" rid="e3">Eq. 3</xref> into <xref ref-type="disp-formula" rid="e10">Eq. 10</xref>, thus in Laplace space the dimensionless well bottom-hole flowing pressure could be obtained, and <inline-formula id="inf34">
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</inline-formula> could also be calculated through the substitution of <xref ref-type="disp-formula" rid="e3">Eqs 3</xref>, <xref ref-type="disp-formula" rid="e10">10</xref> into <xref ref-type="disp-formula" rid="e9">Eq.&#x20;9</xref>.</p>
<p>The Stehfest numerical inverse presented by <xref ref-type="bibr" rid="B35">Schmittroth (1960)</xref> is used in <xref ref-type="disp-formula" rid="e9">Eqs 9</xref>, <xref ref-type="disp-formula" rid="e10">10</xref>, to acquire the dimensionless pressure and production data in real space. According to the definitions of these two dimensionless variables in <xref ref-type="table" rid="T1">Table&#x20;1</xref>, for layer <italic>j</italic>, the gas production rate and pseudo well bottom-hole flowing pressure can be obtained. Through the utilization of the method presented by <xref ref-type="bibr" rid="B23">Meng et&#x20;al. (2018)</xref>, the gas production rate of individual formation and the well bottom-hole flowing pressure can be calculated at each time step. The detailed solution procedures can also be found in the paper by <xref ref-type="bibr" rid="B23">Meng et&#x20;al. (2018)</xref>.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<title>3 Model Validation</title>
<sec id="s3-1">
<title>3.1 Comparisons With Previous Models</title>
<sec id="s3-1-1">
<title>3.1.1 Comparison With Composite Single&#x2013;Layer Reservoir</title>
<p>
<xref ref-type="bibr" rid="B23">Meng et&#x20;al. (2018)</xref> first presented the solution for deviated wells in composite formation with a single layer, which is the basis of the multilayer composite reservoir model in this paper. In their model, the inner region is naturally fractured-vuggy formation, while the outer region is tight formation, and the slanted wellbore is just located in the inner region, which is identical with the assumption in this paper. When formation properties and inclination angle are the same for different layers, then the multilayer reservoir is simplified into the single-layer reservoir theoretically. With the synthetic case constructed by <xref ref-type="bibr" rid="B23">Meng et&#x20;al. (2018)</xref> (the data can be found in their published paper), the well bottom-hole pressure can be calculated. Since <xref ref-type="bibr" rid="B23">Meng et&#x20;al. (2018)</xref> do not give the value of well production rate, hence, in this case, the production rate is set to be 100,000&#xa0;m<sup>3</sup>/d. <xref ref-type="fig" rid="F2">Figure&#x20;2</xref> shows the comparison result of calculated well bottom-hole flowing pressure solution between single-layer formation and multilayer reservoir with uniform properties. As shown in <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>, there is there is a good match between the single-layer and multilayer reservoir, which verifies the accuracy of the proposed&#x20;model.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Well bottom-hole flowing pressure comparison between the proposed model and composite reservoir with single-layer.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g002.tif"/>
</fig>
</sec>
<sec id="s3-1-2">
<title>3.1.2 Comparison With Vertical Well in Carbonate Gas Reservoir With Multiple Layers</title>
<p>
<xref ref-type="bibr" rid="B49">Guo et&#x20;al. (2020)</xref> present semi-analytical solutions for vertical wells in multi-layer gas reservoirs. For the proposed model in this paper, when the deviated angle is approaching 0&#xb0;, the properties of the inner and outer regions for the individual layer are identical. The model in this paper is then simplified into the model presented by <xref ref-type="bibr" rid="B49">Guo et&#x20;al. (2020)</xref>. The comparisons of bottom-hole pressure and production rate of each layer for these two models are shown in <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>
<bold>.</bold> The relevant data to calculate the results can be found in the published paper by <xref ref-type="bibr" rid="B49">Guo et&#x20;al. (2020)</xref>, in which the synthetic case in this paper is used. It can be seen from <xref ref-type="fig" rid="F3">Figure&#x20;3</xref> that there is a good match of bottom-hole pressure and production rate of individual layers for these two models, which verifies the validity of the proposed model. In addition, compared with the model presented by <xref ref-type="bibr" rid="B49">Guo et&#x20;al. (2020)</xref>, besides the application on the vertical wells in multilayer reservoirs, the proposed model can also be employed in the production behavior evaluation of inclined wells, which indicates that the proposed model in this paper is more general.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Comparisons of <bold>(A)</bold> well bottom-hole flowing pressure and <bold>(B)</bold> gas production rate for individual formation between <xref ref-type="bibr" rid="B49">Guo et&#x20;al. (2020)</xref> and the proposed model in this article.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Match With Field Data</title>
<p>To validate the proposed model further and demonstrate its applicability in practice, a case study was chosen, the Anyue carbonate gas reservoir. In this case, the reservoir has two layers, and both 3D seismic interpretation and drilling data show that the deviated well penetrates the &#x201c;sweet spot&#x201d; for each layer, where the region surrounding the wellbore is a fractured-vuggy formation that has lots of natural fractures, and the region far from the well is a tight formation with matrix. In this multilayer reservoir, for each layer, through the method of well logging, the formation thickness, porosity, and water saturation for fractures, vugs and matrix are obtained and through the method of well-testing analysis, the permeability, inter-porosity flowing coefficients, initial pressure and temperature of the reservoir can be acquired. The well trajectory and inclination angle can be obtained from drilling data. The detailed formation and fluid information for this case are given in <xref ref-type="table" rid="T2">Table&#x20;2</xref>. It should be noted that formation anisotropy represents the horizontal-vertical permeability&#x20;ratio.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Reservoir, fluids, and production data applied on the field and synthetic&#x20;cases.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Parameters</th>
<th colspan="2" align="center">Field case</th>
<th colspan="2" align="center">Synthetic case</th>
</tr>
<tr>
<th align="center">Value (first layer)</th>
<th align="center">Value (second layer)</th>
<th align="center">Value (first layer)</th>
<th align="center">Value (second layer)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Formation thickness/m</td>
<td align="center">24.1</td>
<td align="center">1.2</td>
<td align="center">15</td>
<td align="center">10</td>
</tr>
<tr>
<td align="left">Formation radius/m</td>
<td align="center">2,895.8</td>
<td align="center">1,224.5</td>
<td align="center">2,000</td>
<td align="center">1,500</td>
</tr>
<tr>
<td align="left">Inner region radius/m</td>
<td align="center">510.5</td>
<td align="center">201.4</td>
<td align="center">400</td>
<td align="center">300</td>
</tr>
<tr>
<td align="left">Natural fractures porosity/%</td>
<td align="center">0.15</td>
<td align="center">0.1</td>
<td align="center">0.15</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left">Vugs porosity/%</td>
<td align="center">1.84</td>
<td align="center">1.21</td>
<td align="center">1.5</td>
<td align="center">2</td>
</tr>
<tr>
<td align="left">Matrix porosity of inner region/%</td>
<td align="center">1.5</td>
<td align="center">1.5</td>
<td align="center">2.5</td>
<td align="center">1.5</td>
</tr>
<tr>
<td align="left">Matrix porosity of outer region/%</td>
<td align="center">2.06</td>
<td align="center">1.51</td>
<td align="center">3</td>
<td align="center">2.5</td>
</tr>
<tr>
<td align="left">Initial fractures horizontal permeability of inner region/10<sup>&#x2212;3</sup>&#x3bc;m<sup>2</sup>
</td>
<td align="center">2.03</td>
<td align="center">0.35</td>
<td align="center">1.5</td>
<td align="center">0.5</td>
</tr>
<tr>
<td align="left">Initial matrix horizontal permeability of outer region/10<sup>&#x2212;3&#xa0;</sup>&#x3bc;m<sup>2</sup>
</td>
<td align="center">0.95</td>
<td align="center">0.11</td>
<td align="center">0.5</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left">Formation anisotropy degree</td>
<td align="center">6.1</td>
<td align="center">6.1</td>
<td align="center">6</td>
<td align="center">6</td>
</tr>
<tr>
<td align="left">Water saturation of matrix/%</td>
<td align="center">13.2</td>
<td align="center">23.7</td>
<td align="center">10</td>
<td align="center">20</td>
</tr>
<tr>
<td align="left">Interporosity flowing coefficient of natural fractures and matrix</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;7</sup>
</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;7</sup>
</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;7</sup>
</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;7</sup>
</td>
</tr>
<tr>
<td align="left">Interporosity flowing coefficient of natural fractures and vugs</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;5</sup>
</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;5</sup>
</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;5</sup>
</td>
<td align="center">1 &#xd7; 10<sup>&#x2212;5</sup>
</td>
</tr>
<tr>
<td align="left">Stress-sensitive power exponent</td>
<td align="center">0.738</td>
<td align="center">0.738</td>
<td align="center">0.738</td>
<td align="center">0.738</td>
</tr>
<tr>
<td align="left">Initial reservoir pressure/MPa</td>
<td align="center">51.4</td>
<td align="center">51.8</td>
<td align="center">51</td>
<td align="center">51.5</td>
</tr>
<tr>
<td align="left">Overburden stress/MPa</td>
<td align="center">137.9</td>
<td align="center">138.9</td>
<td align="center">134.6</td>
<td align="center">141.3</td>
</tr>
<tr>
<td align="left">Reservoir temperature/&#xb0;C</td>
<td align="center">153</td>
<td align="center">154.3</td>
<td align="center">150</td>
<td align="center">155</td>
</tr>
<tr>
<td align="left">Inclination angle/&#xb0;</td>
<td align="center">75</td>
<td align="center">71</td>
<td align="center">75</td>
<td align="center">60</td>
</tr>
<tr>
<td align="left">Wellbore radius/m</td>
<td align="center">0.1</td>
<td align="left"/>
<td align="center">0.1</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Gas production rate/(m<sup>3</sup>/d)</td>
<td align="center">99,500</td>
<td align="left"/>
<td align="center">100,000</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Production time/d</td>
<td align="center">150</td>
<td align="left"/>
<td align="center">1,000</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Specific gravity</td>
<td align="center">0.59</td>
<td align="left"/>
<td align="center">0.59</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Critical pressure/MPa</td>
<td align="center">4.82</td>
<td align="left"/>
<td align="center">4.82</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Critical temperature/K</td>
<td align="center">199.3</td>
<td align="left"/>
<td align="center">199.3</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Since there is a lack of separate layer test information, the well bottom-hole flowing pressure information is acquired to match calculated data with the presented model. <xref ref-type="fig" rid="F4">Figure&#x20;4</xref> shows the comparison of well bottom-hole pressure in Cartesian and semi-log coordination systems. The goal of the introduction of the semi-log scale is the presentation of the initial fitting effect. It can be seen that whether for the Cartesian or semi-log coordination system, the curves fit perfectly between the testing well bottom-hole pressure and this model, which indicates this model could calculate the well bottom-hole flowing pressure precisely, and verifies the practicality of it in examining multilayer heterogeneous carbonate gas reservoirs.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Match for well bottom-hole flowing pressure with the presented model in <bold>(A)</bold> Cartesian and <bold>(B)</bold> Semi-log coordination systems.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>4 Sensitivity Analysis on the Production Performance</title>
<p>According to the information of the field case, a synthetic case, which is shown in <xref ref-type="table" rid="T2">Table&#x20;2</xref>, was constructed to analyze the influences of prevailing factors for multilayer heterogeneous composite reservoirs, such as the radius of the inner region, horizontal permeability of fractures, horizontal permeability of matrix and penetrated inclination angle of the individual layer on production performance, which include the well bottom-hole flowing pressure and gas production rate of individual formation.</p>
<sec id="s4-1">
<title>4.1 Inner Region Radius</title>
<p>
<xref ref-type="fig" rid="F5">Figures 5</xref>, <xref ref-type="fig" rid="F6">6</xref> show the influences of inner region radius for first and second formations on the production performance of deviated well and individual layers. It should be noted that in <xref ref-type="fig" rid="F5">Figures 5B</xref>, <xref ref-type="fig" rid="F6">6B</xref>, the gas production rate for the first layer and second layer are represented with solid and dashed lines, respectively To clearly show the early production distribution, the semi-log scale is used in these figures.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Influence of inner region radius for first layer on <bold>(A)</bold> well bottom-hole flowing pressure and <bold>(B)</bold> gas production of individual formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g005.tif"/>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Influence of radius for the inner region in the second layer on <bold>(A)</bold> well bottom-hole flowing pressure and <bold>(B)</bold> gas production of individual formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g006.tif"/>
</fig>
<p>Through the comparison of <xref ref-type="fig" rid="F5">Figures 5A</xref>, <xref ref-type="fig" rid="F6">6A</xref>, it is easy to see the variation of radius for the inner region in the first layer has a greater effect on well bottom-hole pressure. The reason for this phenomenon is that the first layer has a larger thickness, porosity, and formation permeability (see <xref ref-type="table" rid="T2">Table&#x20;2</xref>), which is the main layer in this multilayer heterogeneous carbonate gas reservoir. The increase of inner region radius for this layer can greatly improve the level of well bottom-hole pressure. Since the gas production mainly derives from the inner region initially, hence, before the pressure response reaches the interface between the inner region and outer region, the production rate of gas for each layer is identical. As the inner region has larger porosity and permeability, on the condition of constant well production rate, with the increase of range for the inner region, the production rate of gas for any layer increases with the rise of inner region radius for this layer. In addition, the increase of inner region radius will delay the time of reaching this interface, then in <xref ref-type="fig" rid="F5">Figures 5B</xref>, <xref ref-type="fig" rid="F6">6B</xref>, the time of emerging discrepancy for different cases increases with the inner region radius.</p>
</sec>
<sec id="s4-2">
<title>4.2 Horizontal Permeability of Fractures</title>
<p>The influences of horizontal permeability for natural fracture in the inner region on production behaviors are given in <xref ref-type="fig" rid="F7">Figures 7</xref>, <xref ref-type="fig" rid="F8">8</xref>. As the first layer is the main formation in this multilayer heterogeneous carbonate gas reservoir, the variation law in <xref ref-type="fig" rid="F7">Figures 7A</xref>, <xref ref-type="fig" rid="F8">8A</xref> is analogous to the curves in <xref ref-type="fig" rid="F5">Figures 5A</xref>, <xref ref-type="fig" rid="F6">6A</xref>, and the rise of fracture horizontal permeability for the first layer can increase the well bottom-hole pressure significantly, whereas the fracture horizontal permeability of the second layer has little effect on the well bottom-hole pressure. However, since the inner region contributes mostly to the well gas production at the initial stage, and the flowing capacity increases with the fracture horizontal permeability, in contrast with <xref ref-type="fig" rid="F5">Figures 5B</xref>, <xref ref-type="fig" rid="F6">6B</xref>, in <xref ref-type="fig" rid="F7">Figures 7B</xref>, <xref ref-type="fig" rid="F8">8B</xref> gas production rate for any layers has a huge initial gap for different scenarios. When the gas production rate from the outer region occupies the larger ratio, the impact of the inner region decreases, and the gaps for different cases reduce continuously. It should be noted that because we assumed that the deviated well produces with a constant rate, while the gas production rate for some formations increases, for other formations it would certainly decline. For example in <xref ref-type="fig" rid="F7">Figure&#x20;7B</xref>, with the rise of the horizontal permeability of natural fractures for the first formation, the production rate for this formation increases, while for the second layer, the production rate decreases.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Influence of penetrated inclination angle for the first layer on <bold>(A)</bold> bottom-hole flowing pressure and <bold>(B)</bold> gas production of individual formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Influence of horizontal permeability for natural fracture in the second layer on <bold>(A)</bold> bottom-hole flowing pressure and <bold>(B)</bold> gas production of individual formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g008.tif"/>
</fig>
</sec>
<sec id="s4-3">
<title>4.3 Horizontal Permeability of Matrix</title>
<p>Since the outer region has a larger area than the inner region, it is important to evaluate the influences of horizontal permeability of matrix on production behaviors, which are given in <xref ref-type="fig" rid="F9">Figures 9</xref>, <xref ref-type="fig" rid="F10">10</xref>. It can be seen that as the gas supply capacity of the outer region increases with the matrix horizontal permeability, although the well bottom-hole flowing pressure and production rate of gas for different layers are the same for different cases initially, when the time is larger than 30&#xa0;days, whether for the first or second layers, obviously, these two production index increase with the matrix horizontal permeability of this layer. Compared with <xref ref-type="fig" rid="F5">Figures 5B</xref>, <xref ref-type="fig" rid="F6">6B</xref> and <xref ref-type="fig" rid="F7">Figures 7B</xref>, <xref ref-type="fig" rid="F8">8B</xref>, in <xref ref-type="fig" rid="F9">Figures 9B</xref>, <xref ref-type="fig" rid="F10">10B</xref>, as the radius of the inner region and permeability of natural fractures are equal, hence, there are no discrepancies of well bottom-hole flowing pressure and production rate initially, and the moment of appearing difference are nearly the same for different cases. Furthermore, through the comparison of <xref ref-type="fig" rid="F7">Figures 7A</xref>, <xref ref-type="fig" rid="F9">9A</xref>, it can be seen that the smaller variation of matrix permeability can cause the huge gaps of bottom-hole pressure, which indicates that the properties of the outer region determine the production behaviors of the deviated&#x20;well.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Influence of horizontal permeability for matrix in the first layer on <bold>(A)</bold> bottom-hole flowing pressure and <bold>(B)</bold> gas production of individual formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g009.tif"/>
</fig>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Influence of horizontal permeability of matrix in the second layer on <bold>(A)</bold> bottom-hole flowing pressure and <bold>(B)</bold> gas production of individual formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g010.tif"/>
</fig>
</sec>
<sec id="s4-4">
<title>4.4 Inclination Angle</title>
<p>During the exploitation of the multilayer reservoir with the deviated well, the design of the well trajectory is an important task. It is then crucial to investigate the influence of the inclination angle for each layer on the production performance of individual zone and well bottom-hole flowing pressure (<xref ref-type="fig" rid="F11">Figures 11</xref>, <xref ref-type="fig" rid="F12">12</xref>). Since the contact area between the slanted wellbore and formation increases with the inclination angle, as shown in <xref ref-type="fig" rid="F11">Figures 11</xref>, <xref ref-type="fig" rid="F12">12</xref>, the well bottom-hole flowing pressure and gas production rate of the first or second layer increase with the penetrated inclination angle in this layer. As it was assumed that the slanted wellbore is located only in the inner region, the variation of inclination angle influences the production rate distribution at the early stage (<xref ref-type="fig" rid="F11">Figures 11B</xref>, <xref ref-type="fig" rid="F12">12B</xref>), which is analogous to <xref ref-type="fig" rid="F7">Figures 7B</xref>, <xref ref-type="fig" rid="F8">8B</xref>. <xref ref-type="fig" rid="F10">Figure&#x20;10</xref> shows the increase of inclination angle for the first layer with larger gas reserve and permeability, the well bottom-hole pressure can be improved largely. Therefore, to keep the well bottom-hole pressure at a high level, the penetrated inclination angle must be greater than a certain value. In addition, as shown in <xref ref-type="fig" rid="F12">Figure&#x20;12</xref>, the inclination angle for the second layer has few influences on the well bottom-hole flowing pressure, whereas it can greatly increase the production rate of gas for this layer, which demonstrates the gas recovery of tight formation can be enhanced by enlarging the inclination angle in this&#x20;layer.</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Influence of inclination angle in the first layer on <bold>(A)</bold> well bottom-hole flowing pressure and <bold>(B)</bold> gas production rate of an individual&#x20;layer.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g011.tif"/>
</fig>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Influence of inclination angle in the second layer on <bold>(A)</bold> bottom-hole flowing pressure and <bold>(B)</bold> gas production of individual formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g012.tif"/>
</fig>
<p>To determine the critical values of inclination angle for the first and second layers, we plot the curves of the inclination angle for the first layer versus bottom-hole flowing pressure and the inclination angle for the second layer versus cumulative gas production, which is shown in <xref ref-type="fig" rid="F13">Figure&#x20;13</xref>.</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>
<bold>(A)</bold> bottom-hole flowing pressure and <bold>(B)</bold> cumulative gas production rate of the second formation for diverse penetrated inclination angles in the first layer and second formation.</p>
</caption>
<graphic xlink:href="fenrg-10-861780-g013.tif"/>
</fig>
<p>Note that the bottom-hole flowing pressure and the cumulative gas production are collected on the 1,000th day. While the inclination angle is smaller than 60&#xb0;, there is a linear relationship between the inclination angle and bottom-hole flowing pressure or cumulative gas production. When the inclination angle is larger than 60&#xb0;, the bottom-hole flowing pressure and cumulative gas production increase drastically, whether it is the first layer or the second layer, the critical value of inclination angle for these two layers is 60&#xb0;. To keep the bottom-hole pressure at a relatively high level and enhance the gas recovery of the tight layer, the penetrated inclination angle should be greater than 60&#xb0;, and be enlarged as much as possible.</p>
</sec>
</sec>
<sec id="s5">
<title>5 Summary and Conclusion</title>
<p>In this paper, a semi-analytical model is proposed to evaluate the production behaviors for slanted wells in commingled carbonate gas reservoirs with multiple heterogeneous layers. Through the comparison with the bottom-hole flowing pressure for a slanted well in a single layer, composite fractured-vuggy carbonate gas reservoir, the validity of this model is verified. Furthermore, a field case in the Anyue carbonate gas reservoir is employed to demonstrate the applicability of this model in practice. Through sensitivity analysis for some prevailing factors, several important conclusions can be drawn:<list list-type="simple">
<list-item>
<p>(1) The rise of radius for the inner region, horizontal permeability of fractures, horizontal permeability of matrix, and inclination angle for some layers can lead to the increase of well bottom-hole flowing pressure and enlarge the production rate of gas for this formation.</p>
</list-item>
<list-item>
<p>(2) The main layer with larger permeability and gas reserve determines the level of well bottom-hole flowing pressure and contributes mostly to the production of deviated wells. The influence of inner region properties, such as fracture horizontal permeability and radius, is limited, and the well production performance mainly depends on the properties of the outer region.</p>
</list-item>
<list-item>
<p>(3) To keep the well bottom-hole pressure at a relatively high level and enhance the gas recovery from the less permeable layer, the penetration inclination angle for the first and second layers should be larger than 60&#xb0;, and be enlarged as much as possible.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>JG and BN proposed original ideas for this paper. HY and CJ contributed to the modeling, programming, result analysis, and discussion. This paper was written by HY and YL. JG and BN provided technical guidance for research work and reviewed the paper.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This work is supported by the National Science and Technology Major Project (No. 2016ZX05015) and CNPC Science and Technology Major Project (No. 2021DJ1504).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>The authors would like to thank the reviewers and editors whose critical comments helped prepare this article.</p>
</ack>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fenrg.2022.861780/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fenrg.2022.861780/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Presentation1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<given-names>D.</given-names>
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<surname>Sun</surname>
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</ref>
</ref-list>
<sec id="s12">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fenrg.2022.861780">
<bold>
<italic>B</italic>
<sub>g</sub>
</bold>
</term>
<def>
<p>Gas formation volume factor, m<sup>3</sup>/sm<sup>3</sup>
</p>
</def>
</def-item>
<def-item>
<term id="G2-fenrg.2022.861780">
<bold>
<italic>C</italic>
<sub>g</sub>
</bold>
</term>
<def>
<p>Gas compressibility, MPa<sup>&#x2212;1</sup>
</p>
</def>
</def-item>
<def-item>
<term id="G3-fenrg.2022.861780">
<bold>
<italic>C</italic>
<sub>t</sub>
</bold>
</term>
<def>
<p>Total compressibility, MPa<sup>&#x2212;1</sup>
</p>
</def>
</def-item>
<def-item>
<term id="G4-fenrg.2022.861780">
<bold>
<italic>h</italic>
</bold>
</term>
<def>
<p>Formation thickness, m</p>
</def>
<def>
<p>Horizontal direction</p>
</def>
</def-item>
<def-item>
<term id="G5-fenrg.2022.861780">
<bold>
<italic>k</italic>
</bold>
</term>
<def>
<p>Permeability, 10<sup>&#x2212;3</sup>&#xa0;&#x3bc;m<sup>2</sup>
</p>
</def>
</def-item>
<def-item>
<term id="G6-fenrg.2022.861780">
<bold>
<italic>k</italic>
<sub>ra</sub>
</bold>
</term>
<def>
<p>Formation anisotropy degree</p>
</def>
</def-item>
<def-item>
<term id="G7-fenrg.2022.861780">
<bold>
<italic>L</italic>
<sub>w</sub>
</bold>
</term>
<def>
<p>Slanted well length,&#x20;m</p>
</def>
</def-item>
<def-item>
<term id="G8-fenrg.2022.861780">
<bold>
<italic>m</italic>
</bold>
</term>
<def>
<p>Pseudo-pressure, MPa</p>
</def>
<def>
<p>Matrix system</p>
</def>
</def-item>
<def-item>
<term id="G9-fenrg.2022.861780">
<bold>
<italic>m</italic>
<sub>wf</sub>
</bold>
</term>
<def>
<p>Wellbore pseudo-pressure, MPa</p>
</def>
</def-item>
<def-item>
<term id="G10-fenrg.2022.861780">
<bold>
<italic>M</italic>
</bold>
</term>
<def>
<p>Mobility&#x20;ratio</p>
</def>
</def-item>
<def-item>
<term id="G11-fenrg.2022.861780">
<bold>
<italic>p</italic>
</bold>
</term>
<def>
<p>Pressure, MPa</p>
</def>
</def-item>
<def-item>
<term id="G12-fenrg.2022.861780">
<bold>
<italic>p</italic>
<sub>avg</sub>
</bold>
</term>
<def>
<p>formation average pressure,&#x20;MPa</p>
</def>
</def-item>
<def-item>
<term id="G13-fenrg.2022.861780">
<bold>
<italic>p</italic>
<sub>wf</sub>
</bold>
</term>
<def>
<p>Wellbore pressure, MPa</p>
</def>
</def-item>
<def-item>
<term id="G14-fenrg.2022.861780">
<bold>
<italic>q</italic>
<sub>g</sub>
</bold>
</term>
<def>
<p>Gas production rate,&#x20;m<sup>3</sup>/d</p>
</def>
</def-item>
<def-item>
<term id="G15-fenrg.2022.861780">
<inline-formula id="inf35">
<mml:math id="m45">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>q</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>
</term>
<def>
<p>Production rate from point source,&#x20;m<sup>3</sup>/d</p>
</def>
</def-item>
<def-item>
<term id="G16-fenrg.2022.861780">
<bold>
<italic>r</italic>
</bold>
</term>
<def>
<p>Radial distance, m</p>
</def>
<def>
<p>Reference condition</p>
</def>
</def-item>
<def-item>
<term id="G17-fenrg.2022.861780">
<bold>
<italic>r</italic>
<sub>w</sub>
</bold>
</term>
<def>
<p>Wellbore radius, m</p>
</def>
</def-item>
<def-item>
<term id="G18-fenrg.2022.861780">
<bold>
<italic>R</italic>
<sub>e</sub>
</bold>
</term>
<def>
<p>Formation radius, m</p>
</def>
</def-item>
<def-item>
<term id="G19-fenrg.2022.861780">
<bold>
<italic>s</italic>
</bold>
</term>
<def>
<p>Laplace transform variable</p>
</def>
</def-item>
<def-item>
<term id="G20-fenrg.2022.861780">
<bold>
<italic>t</italic>
</bold>
</term>
<def>
<p>Time,&#x20;day</p>
</def>
</def-item>
<def-item>
<term id="G21-fenrg.2022.861780">
<bold>
<italic>x</italic>, <italic>y</italic>, <italic>z</italic>
</bold>
</term>
<def>
<p>Directional coordinates</p>
</def>
</def-item>
<def-item>
<term id="G22-fenrg.2022.861780">
<bold>
<italic>x</italic>
<sub>w</sub>, y<sub>w</sub>, z<sub>w</sub>
</bold>
</term>
<def>
<p>Distance of mid-perforation in <italic>x</italic>, <italic>y</italic> and <italic>z</italic> coordinates,&#x20;m</p>
</def>
</def-item>
<def-item>
<term id="G23-fenrg.2022.861780">
<bold>
<italic>&#x3b1;</italic>
</bold>
</term>
<def>
<p>Stress-sensitive power exponent, dimensionless</p>
</def>
</def-item>
<def-item>
<term id="G24-fenrg.2022.861780">
<bold>
<italic>&#x3b1;</italic>
<sub>m</sub>, <italic>&#x3b1;</italic>
<sub>c</sub>
</bold>
</term>
<def>
<p>Shape factors of matrix and vugs,&#x20;1/m<sup>2</sup>
</p>
</def>
</def-item>
<def-item>
<term id="G25-fenrg.2022.861780">
<bold>
<italic>&#x3b2;</italic>
</bold>
</term>
<def>
<p>Pseudo-time factor</p>
</def>
</def-item>
<def-item>
<term id="G26-fenrg.2022.861780">
<bold>
<italic>&#x3bb;</italic>
</bold>
</term>
<def>
<p>Interporosity flow coefficient, dimensionless</p>
</def>
</def-item>
<def-item>
<term id="G27-fenrg.2022.861780">
<bold>
<italic>&#x3c9;</italic>
</bold>
</term>
<def>
<p>Storativity ratio, dimensionless</p>
</def>
</def-item>
<def-item>
<term id="G28-fenrg.2022.861780">
<bold>
<italic>&#x3b7;</italic>
</bold>
</term>
<def>
<p>Hydraulic diffusivity, dimensionless</p>
</def>
</def-item>
<def-item>
<term id="G29-fenrg.2022.861780">
<bold>
<italic>&#x3b8;</italic>
</bold>
</term>
<def>
<p>Inclination angle, degree</p>
</def>
</def-item>
<def-item>
<term id="G30-fenrg.2022.861780">
<bold>
<italic>&#x3bc;</italic>
<sub>g</sub>
</bold>
</term>
<def>
<p>Gas viscosity, mPa&#xb7;s</p>
</def>
</def-item>
<def-item>
<term id="G31-fenrg.2022.861780">
<bold>
<italic>&#x3c6;</italic>
</bold>
</term>
<def>
<p>Porosity, fraction</p>
</def>
</def-item>
<def-item>
<term id="G32-fenrg.2022.861780">
<bold>
<italic>&#x3c3;</italic>
<sub>s</sub>
</bold>
</term>
<def>
<p>Overburden pressure, MPa</p>
</def>
</def-item>
<def-item>
<term id="G33-fenrg.2022.861780">
<bold>
<italic>a</italic>
<sub>t</sub>, <italic>a</italic>
<sub>p</sub>
</bold>
</term>
<def>
<p>Constants, <italic>a</italic>
<sub>t</sub> &#x3d; 86.4, <italic>a</italic>
<sub>p</sub> &#x3d; 1.842 &#xd7; 10<sup>&#x2212;3</sup>
</p>
</def>
</def-item>
<def-item>
<term id="G34-fenrg.2022.861780">
<bold>
<sup>i</sup>
</bold>
</term>
<def>
<p>Initial condition</p>
</def>
</def-item>
<def-item>
<term id="G35-fenrg.2022.861780">
<bold>0</bold>
</term>
<def>
<p>Standard condition</p>
</def>
</def-item>
<def-item>
<term id="G36-fenrg.2022.861780">
<bold>m</bold>
</term>
<def>
<p>Pseudo-pressure, MPa</p>
</def>
<def>
<p>Matrix system</p>
</def>
</def-item>
<def-item>
<term id="G37-fenrg.2022.861780">
<bold>f</bold>
</term>
<def>
<p>Natural fractures system</p>
</def>
</def-item>
<def-item>
<term id="G38-fenrg.2022.861780">
<bold>c</bold>
</term>
<def>
<p>Vugs system</p>
</def>
</def-item>
<def-item>
<term id="G39-fenrg.2022.861780">
<bold>r</bold>
</term>
<def>
<p>Radial distance, m</p>
</def>
<def>
<p>Reference condition</p>
</def>
</def-item>
<def-item>
<term id="G40-fenrg.2022.861780">
<bold>w</bold>
</term>
<def>
<p>Wellbore</p>
</def>
</def-item>
<def-item>
<term id="G41-fenrg.2022.861780">
<bold>
<italic>j</italic>
</bold>
</term>
<def>
<p>
<italic>j</italic>th&#x20;layer</p>
</def>
</def-item>
<def-item>
<term id="G42-fenrg.2022.861780">
<bold>1</bold>
</term>
<def>
<p>Inner region</p>
</def>
</def-item>
<def-item>
<term id="G43-fenrg.2022.861780">
<bold>2</bold>
</term>
<def>
<p>Outer region</p>
</def>
</def-item>
<def-item>
<term id="G44-fenrg.2022.861780">
<bold>h</bold>
</term>
<def>
<p>Formation thickness, m</p>
</def>
<def>
<p>Horizontal direction</p>
</def>
</def-item>
<def-item>
<term id="G45-fenrg.2022.861780">
<bold>v</bold>
</term>
<def>
<p>Vertical direction</p>
</def>
</def-item>
<def-item>
<term id="G46-fenrg.2022.861780">
<bold>D</bold>
</term>
<def>
<p>Dimensionless</p>
</def>
</def-item>
<def-item>
<term id="G47-fenrg.2022.861780">
<bold>
<sup>-</sup>
</bold>
</term>
<def>
<p>Laplace domain</p>
</def>
</def-item>
<def-item>
<term id="G48-fenrg.2022.861780">
<bold>&#x5e;</bold>
</term>
<def>
<p>Fourier domain</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>