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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-6463</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1100951</article-id>
<article-id pub-id-type="doi">10.3389/feart.2022.1100951</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Study on influencing factors and mechanism of pore compressibility of tight sandstone reservoir&#x2014;A case study of upper carboniferous in ordos basin</article-title>
<alt-title alt-title-type="left-running-head">Hu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/feart.2022.1100951/overview">10.3389/feart.2022.1100951</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Yunbing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1967727/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guo</surname>
<given-names>Yinghai</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qing</surname>
<given-names>Hairuo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hou</surname>
<given-names>Yundong</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Jiangsu Vocational Institute of Architectural Technology</institution>, <addr-line>Xuzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Resources and Earth Science</institution>, <institution>China University of Mining and Technology</institution>, <addr-line>Xuzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Science</institution>, <institution>University of Regina</institution>, <addr-line>Regina</addr-line>, <addr-line>SK</addr-line>, <country>Canada</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Changqing Oilfield Exploration and Development Research Institute</institution>, <addr-line>Xi&#x2019;an</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/1181436/overview">Junjian Zhang</ext-link>, Shandong University of Science and Technology, 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/1181436/overview">Junjian Zhang</ext-link>, Shandong University of Science and Technology, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2112493/overview">Xiaoqi Wang</ext-link>, Suzhou University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yinghai Guo, <email>gyinghai@163.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Economic Geology, a section of the journal Frontiers in Earth Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>1100951</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Hu, Guo, Qing and Hou.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Hu, Guo, Qing and Hou</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 terms.</p>
</license>
</permissions>
<abstract>
<p>A series of studies were carried out on 11 tight sandstone samples of Upper Carboniferous in Ordos Basin. Firstly, the deposit composition and pore structure characteristics are investigated based on analysis and experiments including cast thin section scanning electron microscope high-pressure mercury intrusion and nuclear magnetic resonance Then, combined with DP-P test, the stress-dependent permeability change and pore compressibility characteristics of sandstone reservoirs were studied to reveal the influencing factors and mechanism of reservoir pore compressibility. The detrital particles of the sandstone reservoir in the study area are mainly quartz (75.8%&#x2013;89%), followed by fragments (3%&#x2013;16.1%), and almost no feldspar. The content of interstitial materials is 6.5%&#x2013;11.2%. The type I reservoirs mainly consist of mesopores and macropores, accounting for 60.57% and 32.84% respectively. Mesopores are dominated in Type II reservoirs, accounting for 78.98% of the total pore volume. There are almost no macropores, while a similar proportion of mesopores, micro mesopores and micropores in the type &#x2162; reservoirs. The study of pore compressibility shows that the pore compressibility coefficient decreases with the increase of effective stress, and the reduction rate shows the two-stage characteristics of rapid in the early stage and slow in the later stage. The pressure turning point is between 3 and 10&#xa0;MPa. The average pore compressibility coefficient increases from type I to type &#x2162; reservoirs. The compressibility coefficient is directly proportional to the changing rate of the pore volume. The higher the content of rigid detrital particles, quartz and carbonate cement in sandstone, the smaller the pore compressibility coefficient, while the higher the content of ductile components such as soft rock fragments and clay minerals, the greater the pore compression coefficient. The pore-throat structure is closely related to the pore compressibility, reservoirs with low displacement pressure, <italic>T</italic>
<sub>2glm</sub> value, and large average pore-throat radius show lower compressibility coefficient. In addition, the compressibility coefficient of the reservoir is positively correlated with <italic>D</italic>
<sub>
<italic>L</italic>
</sub> (dimension of large pores such as mesopores and macropores), and negatively correlated with <italic>D</italic>
<sub>
<italic>S</italic>
</sub> (the fractal dimension of micropores and micro mesopores). It is considered the pore compression of sandstone including two stages, viscoplastic destructive deformation of ductile components for the first and then the small-scale non-ideal elastic deformation on rigid particles.</p>
</abstract>
<kwd-group>
<kwd>tight gas</kwd>
<kwd>pore compressibility</kwd>
<kwd>medium deformation</kwd>
<kwd>sandstone reservoirs</kwd>
<kwd>ordos basin</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Graduate Research and Innovation Projects of Jiangsu Province<named-content content-type="fundref-id">10.13039/501100012154</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Tight gas has become an important research field in worldwide exploration and development of oil and gas (<xref ref-type="bibr" rid="B13">Higgs et al., 2007</xref>; <xref ref-type="bibr" rid="B8">Guo et al., 2015</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2018</xref>; <xref ref-type="bibr" rid="B15">Hu et al., 2020a</xref>). The pore-throat structure characters, reflecting the pore-throat geometry, pore size distribution (PSD), and connectivity of tight sandstone reservoir, can affect the migration and accumulation of hydrocarbon, which thereby determines its subsequent efficient development (<xref ref-type="bibr" rid="B21">Lai et al., 2018</xref>; <xref ref-type="bibr" rid="B17">Jiang et al., 2020</xref>; <xref ref-type="bibr" rid="B56">Zong et al., 2020</xref>; <xref ref-type="bibr" rid="B47">You et al., 2021</xref>). The pore-throat structure of tight sandstone reservoir is mainly characterized by complexity and diversity appears as strong heterogeneity and disconnectivity, various types of pores in micron scaled and irregular forms of nano to submicron scaled throats, which all greatly destroy the seepage performance of the reservoir (<xref ref-type="bibr" rid="B4">Desbois et al., 2011</xref>; <xref ref-type="bibr" rid="B58">Zou et al., 2012a</xref>; <xref ref-type="bibr" rid="B34">Rezaee et al., 2012</xref>; <xref ref-type="bibr" rid="B24">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2018</xref>). In addition, certain compressibility for pores of sandstone reservoir exists, and which can be characterized by compressibility coefficient. On the one hand, reservoir compression can provide a driving force for oil production, but at the same time, the reduction of pore pressure caused by reservoir exploitation will also increase the effective stress of the pores in the reservoir, which would get the complexity of pore throat structure increased, change the porosity and permeability, and thereby affect the natural gas productivity of the reservoir significantly (<xref ref-type="bibr" rid="B42">Vairogs et al., 1971</xref>; <xref ref-type="bibr" rid="B18">Jones and Owens, 1980</xref>; <xref ref-type="bibr" rid="B29">Lorenz, 1999</xref>; <xref ref-type="bibr" rid="B6">Dou et al., 2015</xref>; <xref ref-type="bibr" rid="B53">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="B16">Huang et al., 2021</xref>; <xref ref-type="bibr" rid="B52">Zhang et al., 2021</xref>). Therefore, the compression of reservoir pores needs to be carefully evaluated and utilized.</p>
<p>Reservoir pore compressibility coefficient, described as the changing rate of reservoir pore volume caused by the unit pressure added or unload, is a significant parameter in the calculation of dynamic geological reserves, the simulation of reservoir fluid flow, the prediction of petroleum productivity, and the evaluation of reservoir stress sensitivity (<xref ref-type="bibr" rid="B55">Zimmerman et al., 1986</xref>; <xref ref-type="bibr" rid="B23">Li et al., 2004</xref>; <xref ref-type="bibr" rid="B11">He et al., 2016</xref>; <xref ref-type="bibr" rid="B48">Yuan et al., 2018</xref>). The most intuitive calculation method for measuring the rock compressibility coefficient is to quantify the loss of pore volume caused by unit differential pressure (<xref ref-type="bibr" rid="B37">Seidle et al., 1992</xref>; <xref ref-type="bibr" rid="B28">Liu and Harpalani, 2014</xref>). However, due to the extremely low porosity of pores and fractures of samples in tight gas sandstone reservoirs, it is complicated to accurately measure the change of pore and fracture volume, and the measurement results are often of low confidence levels (<xref ref-type="bibr" rid="B37">Seidle et al., 1992</xref>; <xref ref-type="bibr" rid="B28">Liu and Harpalani, 2014</xref>). Under the action of effective stress, the compression of pore and fracture volume is bound to cause the change of reservoir permeability (<xref ref-type="bibr" rid="B31">Mckee et al., 1988</xref>; <xref ref-type="bibr" rid="B37">Seidle et al., 1992</xref>; <xref ref-type="bibr" rid="B35">Ross and Bustin, 2008</xref>; <xref ref-type="bibr" rid="B5">Dong et al., 2010</xref>; <xref ref-type="bibr" rid="B33">Ouyang et al., 2016</xref>; <xref ref-type="bibr" rid="B45">Yang et al., 2019</xref>). A large number of mathematical formulas and models have been established revealing the internal relationship between effective stress and reservoir permeability, among which the exponential relationship between the reservoir permeability and effective stress based on the pore-fracture compression coefficient is finally widely used (<xref ref-type="bibr" rid="B37">Seidle et al., 1992</xref>; <xref ref-type="bibr" rid="B40">Shi and Durucan, 2010</xref>; <xref ref-type="bibr" rid="B3">Chen et al., 2015</xref>; <xref ref-type="bibr" rid="B45">Yang et al., 2019</xref>). Therefore, the calculation method of deducing the pore compressibility coefficient by using the reservoir permeability changes obtained through laboratory experiment tests or logging numerical simulation is widely adopted (<xref ref-type="bibr" rid="B25">Li et al., 2013</xref>; <xref ref-type="bibr" rid="B46">Yao et al., 2021</xref>).</p>
<p>The compression of reservoir pores will cause a change in reservoir permeability to a certain extent. A large amount of research work has been brought into force on the stress sensitivity of reservoir permeability and its controlling factors. It is considered that the sensitivity of reservoir permeability is jointly controlled by the deposit composition and micro-pore structure (<xref ref-type="bibr" rid="B19">Kang et al., 2006</xref>; <xref ref-type="bibr" rid="B39">Sheng et al., 2016</xref>; <xref ref-type="bibr" rid="B32">Meng et al., 2019</xref>; <xref ref-type="bibr" rid="B27">Liu et al., 2020</xref>). However, there are limited studies on the characteristics, influencing factors, and mechanisms of the pore compressibility coefficient of tight sandstone reservoirs. Ordos Basin is an important petroliferous basin in China, which is rich in tight sandstone gas resources. In present study, sandstone samples from Benxi Formation, Upper Carboniferous of Ordos Basin, with different microstructures were selected for the measurement of porosity and permeability under different confining pressures. In addition tests and analyses such as CTS analysis, SEM observation, HPMI and NMR are carried out as well. On the basis of the study on reservoir material composition, micropore structure, and reservoir heterogeneity of samples, the discussion on the mechanism and influencing factors of reservoir pore compressibility were discussed subsequently, which will provide a theoretical basis for the evaluation of reservoir stress sensitivity in the process of drilling and production.</p>
</sec>
<sec id="s2">
<title>2 Experimental test and sample preparation</title>
<sec id="s2-1">
<title>2.1 Sample collection</title>
<p>Ordos Basin with rich resources is one of the main natural gas-producing areas in China (<xref ref-type="bibr" rid="B57">Zou et al., 2012b</xref>). Benxi Formation in the basin is mainly filled with Lagoon-tidal flat, with lagoon iron aluminum mudstone at the bottom and tidal flat sandstone, mudstone, coal seam, thin limestone lens, barrier sand bar, and shallow water delta sediments upward. Its strata are widely distributed and the hydrocarbon source rocks with stable thickness generating here, which is an important gas source stratum in the Ordos basin. Meanwhile, two sets of large-scale sand bodies in the Pangou member and Jinci member also developed here (<xref ref-type="fig" rid="F1">Figure 1C</xref>). The study area is located in the northeast of the Yishaan slope in Ordos Basin, as shown in <xref ref-type="fig" rid="F1">Figure 1A, B</xref>
</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Sample information in the study area. <bold>(A)</bold> Location of Ordos Basin. <bold>(B)</bold> Location of the study area. <bold>(C)</bold> Stratigraphic characteristics of Benxi Formation in study area.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g001.tif"/>
</fig>
<p>In the present study, a total of 11 tight sandstone reservoir column samples were drilled from different exploration wells for various tests and comprehensive analysis. The location distribution of sampling wells and their basic parameters are shown in <xref ref-type="fig" rid="F1">Figure 1B</xref> and <xref ref-type="table" rid="T1">Table 1</xref> respectively.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The basic information and related parameters of selected experimental samples.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Number</th>
<th align="center">Sample</th>
<th align="center">Well</th>
<th align="center">Depth (m)</th>
<th align="center">Lithology</th>
<th align="center">Permeability (mD)</th>
<th align="center">Porosity (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">22</td>
<td align="center">Double 99</td>
<td align="center">1966.4</td>
<td align="center">Quartz arenite</td>
<td align="center">1.2837</td>
<td align="center">9.74</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">30</td>
<td align="center">Tong 77</td>
<td align="center">3326.27</td>
<td align="center">Quartz arenite</td>
<td align="center">1.2323</td>
<td align="center">7.17</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">38</td>
<td align="center">Shuang 74</td>
<td align="center">2123.05</td>
<td align="center">Sublitharenite</td>
<td align="center">8.1069</td>
<td align="center">10.91</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">69</td>
<td align="center">Mi 35</td>
<td align="center">2539.85</td>
<td align="center">Sublitharenite</td>
<td align="center">3.0147</td>
<td align="center">9.70</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">18</td>
<td align="center">Mi 51</td>
<td align="center">2148.4</td>
<td align="center">Quartz arenite</td>
<td align="center">0.2424</td>
<td align="center">6.44</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">21</td>
<td align="center">Tong 3</td>
<td align="center">2153.84</td>
<td align="center">Sublitharenite</td>
<td align="center">0.4775</td>
<td align="center">7.26</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">37</td>
<td align="center">Shuang 109</td>
<td align="center">2381.44</td>
<td align="center">Quartz arenite</td>
<td align="center">0.2940</td>
<td align="center">8.56</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">39</td>
<td align="center">Shan 211</td>
<td align="center">2129.13</td>
<td align="center">Sublitharenite</td>
<td align="center">0.1312</td>
<td align="center">7.10</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">13</td>
<td align="center">Qi 17</td>
<td align="center">3026</td>
<td align="center">Quartz arenite</td>
<td align="center">0.0968</td>
<td align="center">5.84</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">16</td>
<td align="center">Mi 73</td>
<td align="center">2298.85</td>
<td align="center">Sublitharenite</td>
<td align="center">0.0352</td>
<td align="center">3.20</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">52</td>
<td align="center">Mi 38</td>
<td align="center">2773.77</td>
<td align="center">Sublitharenite</td>
<td align="center">0.0146</td>
<td align="center">2.01</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2">
<title>2.2 Experimental tests</title>
<p>11 column samples with a required size of 25&#xa0;mm&#xd7;50&#xa0;mm were drilled from 11 sandstone samples, which were prepared for NMR and overburden permeability experiments. The remaining samples were broken into blocks of different sizes and prepared for CTS, SEM and, HPMI experiments.</p>
<p>The cast thin section (CTS) samples were prepared in the Langfang Branch of China Petrol. Explor. Dev&#x2b; Research Institute and then identified and analyzed <italic>via</italic> polarizing microscope technology in China University of Mining and Technology (CUMT), Xuzhou to investigate the petrological characteristics including reservoir deposit composition, characters of detrital particles, and pore-throat characters. The SEM observation was completed in the Advanced Analysis and Calculation Center of CUMT. In this study, all 11 samples about 0.5&#xa0;cm long for each were gold-coated and dried and then the subsequent analysis was conducted with FEI quantatm 250 equipment to investigate the characteristics of mineral, pores, and reservoir morphology.</p>
<p>Sandstone samples with a size of about 4&#xa0;mm were selected for high-pressure mercury intrusion experiments by using Micro metrics Auto pore &#x2163;9520 (0.1&#x2013;60000&#xa0;psi) according to the Chinese Standard SY/T5346-2005 to investigate the pore-throat structure characters. Firstly, the sample is dried in an oven at 70&#xb0;C for 12&#xa0;h, and then the test is carried out. A total of 108 pressure points were collected under the control of the computer during the whole experiment process. The upper-pressure limit was 200&#xa0;MPa, as a result, the pore throat radium of 3&#xa0;nm&#x2013;1000&#xa0;&#x3bc;m can be measured.</p>
<p>11 plunger samples were selected to conduct <italic>T</italic>
<sub>
<italic>2</italic>
</sub> spectrum signal measurement under saturated centrifugal state by MacroMR12-150H-1 tester produced by Newmark testing company, Suzhou, China. The specific operation flow and parameter setting during the experiment are shown in Hu et al. (2020) (<xref ref-type="bibr" rid="B21">Lai et al., 2018</xref>).</p>
<p>Then, the AP-608 overlying pressure porosimeter produced by American core Temco Products Co., Ltd. was used to conduct pressure-sensitive experiments on column samples (<xref ref-type="fig" rid="F2">Figure 2</xref>), aiming to measure the permeability of samples. The experimental method is called the unsteady-state pressure drop method, of which the experimental gas is high-purity nitrogen. The displacement pressure was provided by plunger pumps and the confining pressure was provided by separate confining pressure pumps. Under the condition of keeping the displacement pressure unchanged, the change of effective stress was simulated by changing the confining pressure. In this way, the effective stress was increased to 3, 10, 15, 20, 25, 30, 40, and 50&#xa0;MPa. At the same time, to avoid the influence of pressurization time and the change of total volume, it took 30&#xa0;min to measure each pressure point, and the time interval of 30&#xa0;s between the two pressure points was maintained.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Schematic diagram of stress sensitivity experiment.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g002.tif"/>
</fig>
</sec>
<sec id="s2-3">
<title>2.3 Data processing method</title>
<sec id="s2-3-1">
<title>2.3.1 Pore compressibility</title>
<p>Based on the data result of DP-P, <xref ref-type="bibr" rid="B37">Seidle et al. (1992)</xref> derived the typical formula on permeability and stress by using the matchstick model:<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3</mml:mn>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>Where <italic>C</italic>
<sub>
<italic>f</italic>
</sub> is the volume compressibility coefficient of pores and fractures under the effective horizontal stress in a changing state, Mpa<sup>&#x2212;1</sup>; <italic>K</italic> is the permeability measured under the changed stress, mD; <italic>K</italic>
<sub>
<italic>0</italic>
</sub> is the initial permeability, mD.</p>
<p>Logarithmic operation on both sides of eq <xref ref-type="disp-formula" rid="e1">1</xref> can be further performed to obtain the calculation formula of compression coefficient <italic>C</italic>
<sub>
<italic>f</italic>
</sub> based on DC-P measurement:<disp-formula id="e2">
<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mi mathvariant="normal">f</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>ln</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<p>Equation <xref ref-type="disp-formula" rid="e2">2</xref> has become the most common method to solve <italic>C</italic>
<sub>
<italic>f</italic>
</sub> (<xref ref-type="bibr" rid="B41">Shi et al., 2014</xref>; <xref ref-type="bibr" rid="B51">Zhang et al., 2019</xref>). Therefore, the average compressibility coefficient <italic>C</italic>
<sub>
<italic>fi</italic>
</sub> under different effective stresses can be solved according to Eq <xref ref-type="disp-formula" rid="e2">2</xref>.<disp-formula id="e3">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>c</mml:mi>
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mi>i</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>ln</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<p>Where <italic>C</italic>
<sub>
<italic>fi</italic>
</sub> is the average compression coefficient after the <italic>i</italic>th pressurization, MPa-1.</p>
</sec>
<sec id="s2-3-2">
<title>2.3.2 Fractal dimension</title>
<p>NMR fractal theories has showed its unique advantages in quantitatively characterizing the morphological and structural characteristics of pores and fractures in reservoirs (<xref ref-type="bibr" rid="B9">Harmer et al., 2001</xref>). When the fluid was placed in the environment where intergrated action of static magnetic field and radio frequency field exists, the spin hydrogen nuclei would performed NMR relaxation. Which could be expressed by transverse relaxation time <italic>T</italic>
<sub>
<italic>2</italic>
</sub> (<xref ref-type="bibr" rid="B2">Cai et al., 2013</xref>). The formula is as follows.<disp-formula id="e4">
<mml:math id="m4">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>B</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2b;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>S</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2b;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>D</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
<p>Where the <italic>T</italic>
<sub>
<italic>2B</italic>
</sub> and <italic>T</italic>
<sub>
<italic>2D</italic>
</sub> is the relaxation time caused by the fluid and pore surface interaction and diffusion, respectively, while the <italic>T</italic>
<sub>
<italic>2S</italic>
</sub> is surface relaxation time.</p>
<p>Taking the single fluid and well-distributed magnetic field into consideration, the <italic>T</italic>
<sub>
<italic>2b</italic>
</sub> and <italic>T</italic>
<sub>
<italic>2D</italic>
</sub> <sub>can be</sub> ignored (<xref ref-type="bibr" rid="B2">Cai et al., 2013</xref>). Then the <italic>T</italic>
<sub>
<italic>2</italic>
</sub> formula can be rewritten as follows.<disp-formula id="e5">
<mml:math id="m5">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2248;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>S</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>&#x3c1;</mml:mi>
<mml:mfrac>
<mml:mrow>
<mml:mi>S</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>V</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi>S</mml:mi>
</mml:msub>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">r</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>Where <italic>F</italic>
<sub>
<italic>S</italic>
</sub> is the morphological factor. If the pore shape in the reservoir is regarded as spherical, the value of <italic>F</italic>
<sub>
<italic>S</italic>
</sub> would be 3. Then, the capillary pressure <italic>P</italic>
<sub>
<italic>c</italic>
</sub> can be calculated through the following formula 6.<disp-formula id="e6">
<mml:math id="m6">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>c</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>C</mml:mi>
<mml:mfrac>
<mml:mrow>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(6)</label>
</disp-formula>
</p>
<p>Where <italic>P</italic>
<sub>
<italic>c</italic>
</sub> represents capillary pressure, (MPa); and <italic>C</italic> is refer to the conversion factor and can be expressed as <inline-formula id="inf1">
<mml:math id="m7">
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mfenced open="|" close="|" separators="|">
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>&#x3c3;</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>&#x3b8;</mml:mi>
<mml:mo>/</mml:mo>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi>s</mml:mi>
</mml:msub>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
<p>From Eq <xref ref-type="disp-formula" rid="e6">6</xref>, we can conclude that there is an inverse relationship between capillary pressure <italic>P</italic>
<sub>
<italic>c</italic>
</sub> and transverse relaxation time <italic>T</italic>
<sub>2</sub>. Therefore, <inline-formula id="inf2">
<mml:math id="m8">
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>c</mml:mi>
<mml:mi>min</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
<mml:mi>max</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
<p>Taking Washburn formula into consideration and then combining the derivation results of <xref ref-type="bibr" rid="B33">Ouyang et al. (2016)</xref>, the formula describing the relationship between cumulative pore volume <italic>V</italic>
<sub>
<italic>P</italic>
</sub> and capillary pressure <italic>P</italic>
<sub>
<italic>c</italic>
</sub> can be concluded as follows<disp-formula id="e7">
<mml:math id="m9">
<mml:mrow>
<mml:msub>
<mml:mi>V</mml:mi>
<mml:mi>p</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mi>c</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>P</mml:mi>
<mml:mrow>
<mml:mi>c</mml:mi>
<mml:mi>min</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mrow>
<mml:mi>D</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
<label>(7)</label>
</disp-formula>
</p>
<p>Combine Eq <xref ref-type="disp-formula" rid="e6">6</xref> and Eq <xref ref-type="disp-formula" rid="e7">7</xref>, the formula of <italic>V</italic>
<sub>
<italic>P</italic>
</sub> can be rewritten as<disp-formula id="e8">
<mml:math id="m10">
<mml:mrow>
<mml:msub>
<mml:mi>V</mml:mi>
<mml:mi>p</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>max</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mrow>
<mml:mi>D</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
<label>(8)</label>
</disp-formula>
</p>
<p>Take logarithm on both sides of Eq <xref ref-type="disp-formula" rid="e8">8</xref>, and then equation (8) is transformed into<disp-formula id="e9">
<mml:math id="m11">
<mml:mrow>
<mml:mi>lg</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>V</mml:mi>
<mml:mi>p</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mi>lg</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mo>&#x2b;</mml:mo>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mi>w</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3</mml:mn>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mi>lg</mml:mi>
<mml:msub>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mi>max</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
<label>(9)</label>
</disp-formula>Where <italic>V</italic>
<sub>
<italic>p</italic>
</sub> is the percentage of cumulative pore volume under saturated water state; <italic>D</italic>
<sub>
<italic>w</italic>
</sub> is the fractal dimension value based on NMR data under water-saturated state. <italic>T</italic>
<sub>
<italic>2max</italic>
</sub> is the maximum transverse relaxation time.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Lithology characteristics</title>
<p>Through CTS and SEM analysis, it is found that the reservoir rocks are mainly quartz arenite and sublitharenite. quartz is mainly single crystal quartz (75.8%&#x2013;89%, with an average of 81.79%). Almost free of feldspar. The content of rock fragments is low (3%&#x2013;16.1%, with an average of 9.14%), and it mainly consists of rigid rock fragments such as magmatic rock and quartzite (<xref ref-type="fig" rid="F3">Figure 3A</xref>) (with an average of 5.65%) and a small amount of ductile rock fragments such as slate, phyllite, and mica (<xref ref-type="disp-formula" rid="e4">Figure 3B</xref>,<xref ref-type="fig" rid="F4">C</xref>) (with an average of 3.48%). The content of interstitial material ranges from 6.5% to 11.2%, with an average of 9.07%. It mainly consists of clay minerals (4.65%), quartz cement following (2.91%), and a small amount of carbonate and iron (average 1.13% and 0.47% respectively) (<xref ref-type="fig" rid="F3">Figures 3D&#x2013;F</xref>). The particles with good sorting are in subround-subangular shape and their size distribution of main particles range are different. The cement types are mainly poreed and enlarged pore type.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Material composition characteristics of tight sandstone reservoirs. <bold>(A)</bold>. Lgneous rock fragments (arrow II) slate fragments (arrow I), well Shuang74, 2123.05m, orthogonal polarization; <bold>(B)</bold>. Phyllite fragments, well Qi 17, 3026m, orthogonal polarization; <bold>(C)</bold>. Strongly deformed mica, well Mi 73, 2421.1m, orthogonally polarized; <bold>(D)</bold>. Kaolinite (arrow I), quartz (arrow II), well Tong 77, 3326.27m; <bold>(E)</bold>. Calcite (arrow II), iron calcite (arrow I), kaolinite, well Mi 38, 3480.45m, single polarized light; <bold>(F)</bold>. Illite, well Mi 73, 2421.1&#xa0;m.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g003.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Pore type and structural characteristics</title>
<p>According to the analysis of CTS and SEM, various pores including residual primary intergranular pores, intergranular dissolved pores, intragranular dissolved pores, intergranular pores, and microfractures exist in the reservoir of the study area (<xref ref-type="fig" rid="F3">Figure 3</xref>). Previous studies demonstrated that mercury injection parameter R<sub>50</sub> of sandstone pore structure shows a significant correlation with reservoir porosity and permeability (<xref ref-type="bibr" rid="B54">Zhong et al., 2020</xref>). In the present study, based on the mercury injection experimental parameter R<sub>50</sub> and the morphological characteristics of the capillary pressure curve of each sample, the pore structures are divided into three categories, type I, type II, and type &#x2162;. The type I pore-throat structure reservoirs are composed of quartz arenite in coarse grain and giant grain size. The pore types appear in the form of multiple pore combinations, including residual intergranular pores, intergranular dissolved pores, intragranular dissolved pores, and intergranular pores, however, it is dominated by the intergranular pores and the throat is mainly necked and curved lamellar throat. The type II pore-throat structure reservoirs mainly consist of quartz arenite in medium-grained, with the pore types similar to the type I reservoir, however, the pores are mainly dissolution pores, with the curved lamellar throats. The type &#x2162; pore-throat structure reservoirs are composed of quartz arenite and sublitharenite, fine-silt grained. The pores are mainly intragranular dissolved pores and intergranular pores, tubular throat. The pore structure characteristics of different types of reservoirs are shown in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Pore structure characteristic parameters of different types of tight sandstone reservoirs.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Type</th>
<th colspan="2" align="center">&#x2160;</th>
<th colspan="2" align="center">&#x2161;</th>
<th colspan="2" align="center">&#x2162;</th>
</tr>
<tr>
<th align="center">Range</th>
<th align="center">Average</th>
<th align="center">Range</th>
<th align="center">Average</th>
<th align="center">Range</th>
<th align="center">Average</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Porrosity, %</td>
<td align="center">8.2%&#x2013;10.9</td>
<td align="center">9.63</td>
<td align="center">6.4&#x2013;8.6</td>
<td align="center">7.35</td>
<td align="center">3.2&#x2013;5.8</td>
<td align="center">4.6</td>
</tr>
<tr>
<td align="center">Permeability, mD</td>
<td align="center">0.8&#x2013;3.02</td>
<td align="center">1.47</td>
<td align="center">0.15&#x2013;0.48</td>
<td align="center">0.29</td>
<td align="center">0.04&#x2013;0.13</td>
<td align="center">0.09</td>
</tr>
<tr>
<td align="center">Threshold pressure, MPa</td>
<td align="center">0.14&#x2013;0.44</td>
<td align="center">0.28</td>
<td align="center">0.53&#x2013;2.09</td>
<td align="center">1.09</td>
<td align="center">0.68&#x2013;2.38</td>
<td align="center">1.31</td>
</tr>
<tr>
<td align="center">Sorting cofficient</td>
<td align="center">0.28&#x2013;0.94</td>
<td align="center">0.59</td>
<td align="center">0.06&#x2013;0.24</td>
<td align="center">0.13</td>
<td align="center">0.05&#x2013;3.04</td>
<td align="center">1.08</td>
</tr>
<tr>
<td align="center">Medium pressure, MPa</td>
<td align="center">0.46&#x2013;1.2</td>
<td align="center">0.76</td>
<td align="center">1.14&#x2013;4.6</td>
<td align="center">2.8</td>
<td align="center">5.84&#x2013;9.1</td>
<td align="center">7.38</td>
</tr>
<tr>
<td align="center">Medium Radius, &#x3bc; m</td>
<td align="center">0.62&#x2013;1.64</td>
<td align="center">1.11</td>
<td align="center">0.26&#x2013;0.56</td>
<td align="center">0.41</td>
<td align="center">0.02&#x2013;0.14</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="center">Average pore throat radius, &#x3bc; m</td>
<td align="center">0.4&#x2013;1.12</td>
<td align="center">0.85</td>
<td align="center">0.1&#x2013;0.37</td>
<td align="center">0.22</td>
<td align="center">0.05&#x2013;0.09</td>
<td align="center">0.07</td>
</tr>
<tr>
<td align="center">T2cutoff</td>
<td align="center">20.8&#x2013;51.3</td>
<td align="center">38.8</td>
<td align="center">16.9&#x2013;57.6</td>
<td align="center">31.7</td>
<td align="center">0.5&#x2013;34.3</td>
<td align="center">3.8</td>
</tr>
<tr>
<td align="center">Moverable water saturation,%</td>
<td align="center">41.3&#x2013;84.8</td>
<td align="center">66.8</td>
<td align="center">49.0&#x2013;65.6</td>
<td align="center">55.4</td>
<td align="center">30.5&#x2013;36.9</td>
<td align="center">33.7</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In terms of characterizing reservoir pore size and its distribution, The NMR technology shows higher accuracy than high-pressure mercury injection technology (<xref ref-type="bibr" rid="B30">Loucks et al., 2012</xref>; <xref ref-type="bibr" rid="B22">Li et al., 2019</xref>; <xref ref-type="bibr" rid="B14">Hu et al., 2020b</xref>). A large amount of research work has been conducted on pore classification based on pore size (<xref ref-type="bibr" rid="B58">Zou et al., 2012a</xref>; <xref ref-type="bibr" rid="B57">Zou et al., 2012b</xref>; <xref ref-type="bibr" rid="B15">Hu et al., 2020a</xref>). This research adopts the previous schemes of pore size division to divide pores into micropores, micro mesopores, mesopores, and macropores (<xref ref-type="bibr" rid="B20">Lai et al., 2016</xref>), and the corresponding <italic>T</italic>
<sub>
<italic>2</italic>
</sub> values are &#x2264; 1&#xa0;m, 1 &#x2264; <italic>T</italic>
<sub>2</sub> &#x2264; 10&#xa0;m, 10 &#x2264; <italic>T</italic>
<sub>2</sub> &#x2264; 100&#xa0;m and 100 &#x2264; <italic>T</italic>
<sub>2</sub> &#x2264; 1000&#xa0;m respectively (<xref ref-type="fig" rid="F4">Figure 4A</xref>). By comparing the pore distribution characteristics of type I, II, and &#x2162; reservoirs at different stages, it is founded that with the deterioration of reservoir physical properties, the proportion of reservoir pore volume at different stages changes significantly. The proportion of macro pores decreases sharply from the average of 32.84% of type I reservoirs to the average of 1.63% of type &#x2162; reservoirs; The proportions of micro mesopores and micropores in type I and type II reservoirs are low, but they increase rapidly to an average of 25.16% and 36.77% respectively in type &#x2162; reservoirs. The proportion of mesopores increases first and then decreases, and shows the highest proportion in type II reservoirs, accounting for 78.98%.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Pore types and pore characteristics of tight sandstone reservoirs <bold>(A)</bold>. Residual intergranular pore (arrow I), intergranular dissolved pore (arrow II), well Mi 35, 2539.85m, single polarized light; <bold>(B)</bold>. Intragranular dissolved pore (arrow I), intergranular dissolved pore (arrow II), well Mi 51, 2151.41m, single polarized light; <bold>(C)</bold>. Kaolinite intercrystalline pore (arrow I), illite intercrystalline pore (arrow II), well Mi38, 3480.45m, single polarized light.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g004.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Change of reservoir permeability under effective stress state</title>
<p>The DP-P test result of 11 sandstone samples is shown in <xref ref-type="fig" rid="F5">Figure 5A</xref>. It appears that as the effective stress increases from 0&#xa0;MPa to 50MPa, the permeability shows a good exponential function decreasing trend. To investigate the influence of dynamic effective stress on permeability quantitatively, the dimensionless parameter <italic>D</italic>
<sub>
<italic>K</italic>
</sub> (permeability loss rat) was introduced to evaluate the permeability sensitivity caused by stress. The <italic>D</italic>
<sub>
<italic>K</italic>
</sub> can be calculated through the formula as follows:<disp-formula id="e10">
<mml:math id="m12">
<mml:mrow>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:math>
<label>(10)</label>
</disp-formula>where <italic>k</italic>
<sub>
<italic>0</italic>
</sub> is the permeability of sandstone samples under initial confining pressure, mD; <italic>K</italic>
<sub>
<italic>i</italic>
</sub> is the permeability of sandstone samples after applying confining pressure for i times, mD.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Reservoir <bold>(A)</bold> pore size division and <bold>(B)</bold> stage pore volume ratio of different types of pore structure reservoir.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g005.tif"/>
</fig>
<p>The variation of permeability damage rate of different samples with different effective stress is shown in <xref ref-type="fig" rid="F5">Figure 5B</xref>. When effective stress reaches 50MPa, the permeability loss rate of samples ranges from 81.51% to 99.74%, with an average of 93.01%, which indicates that effective stress can compress reservoir pores, resulting in great changes in reservoir pore structure, and the permeability response of samples with different pore structures differs greatly to the same effective stress.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 Pore compressibility of tight sandstone reservoirs</title>
<p>The pore compression coefficients of 11 sandstone samples under different effective stress are calculated, as shown in <xref ref-type="fig" rid="F6">Figure 6A</xref>. When effective stress is 3Mpa, the pore compression coefficients of sandstone samples are between 0.054 and 0.125, with an average of 0.084. When effective stress increases to 50MPa, the pore compression coefficients are between 0.013 and 0.040, with an average of 0.021. The pore compression coefficients decrease with the increase of the confining pressure. The comparison analysis of the pore compressibility characteristics among the three types of reservoirs (<xref ref-type="fig" rid="F6">Figure 6B</xref>) indicates that under the same effective stress, the type &#x2162; reservoir shows the largest average pore compressibility coefficient, and the type I reservoir has the smallest average pore compressibility coefficient, which indicates that the response sensitivity of pore compressibility to the change of effective stress increases from type I to type &#x2162; reservoirs.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Variation of <bold>(A)</bold> permeability and <bold>(B)</bold> permeability damage rate of different samples under dynamic effective stress.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g006.tif"/>
</fig>
<p>The effect of effective stress on pore compressibility among the tested samples shows obvious stages. During the stage of effective stress less than10MPa, with the increase of effective stress, the pore compressibility of samples decreases sharply. However, when effective stress reaches 10MPa, the change of pore compressibility coefficient to the increase of stress is not obvious. The unit stress-strain rate of reservoir pore volume decreases gradually and the pore compressibility coefficient tends to be stable, which reflects that pores are more difficult to be compressed in the later stage of compression. It is probably because pores and fractures of sandstone samples used to show high compressibility under the low-pressure stage, during that period, the large, medium-sized pores and micro-fractures tend to close firstly with the increasing effective pressure, thereby resulting in the obvious decrease of sandstone permeability (<xref ref-type="fig" rid="F5">Figure 5A</xref>). However, with the continuous increase of the effective stress, the decreasing rate of pore-fracture compressibility slows down to a very obvious extent. It is mainly because in this stage, the increase of stress can only cause the closure of some small pores, which leads to the slight change in the pore compressibility coefficient of sandstone during the later stage of stress increase (<xref ref-type="fig" rid="F6">Figure 6A</xref>).</p>
</sec>
<sec id="s4-2">
<title>4.2 Influencing factors of pore compressibility</title>
<sec id="s4-2-1">
<title>4.2.1 Porosity</title>
<p>The relationship between porosity and pore compressibility is analyzed, as shown in <xref ref-type="fig" rid="F7">Figure 7</xref>, it is found that pore compressibility is negatively correlated to porosity. However, it is well known that loose rocks with high porosity are easier to be compressed than dense rocks. It should be pointed out that the compressibility coefficient is the rate of volume change under pressure. For rocks with the same volume, the higher the porosity, the less the skeleton volume, and the weaker level of support, therefore, the pore compressibility coefficient would be quite large. On the contrary, rocks with lower porosity show larger skeleton volume, stronger lever of support and smaller pore compressibility. The compressibility coefficient is not inversely proportional to the pore volume but directly proportional to the change rate of the pore volume. The smaller the pore volume is, the more difficult it is for the pores to be compressed. Therefore, compared with large pores, the change of small pore volume is smaller, however, the changing rate for pore volume is often greater than that of large pores.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Pore compressibility characteristics of tight sandstone reservoirs <bold>(A)</bold> Distribution of pore compressibility coefficient of different samples under different effective stresses. <bold>(B)</bold> Pore compressibility of different types of reservoirs.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g007.tif"/>
</fig>
</sec>
<sec id="s4-2-2">
<title>4.2.2 Lithology</title>
<p>Tight sandstone is composed of skeleton particles and interstitial materials that show a quite different compaction resistance properties. Skeleton particles of the tight sandstone reservoirs in the study area mainly consist of quartz and rock fragments. Quartzes and felspars with strong hardness and brittleness are not easy to be compressed, therefore the shape and size of skeleton particles are hardly get changed with the increase of effective stress (<xref ref-type="bibr" rid="B49">Zhang et al., 2004</xref>). The higher the relative content of quartz, the stronger the support of the reservoir rock skeleton and the more difficult it is for reservoir media to be compressed (<xref ref-type="fig" rid="F8">Figure 8A</xref>). Therefore, the pore compression coefficient of type I reservoirs with higher quartz detrital particles is the smallest (<xref ref-type="fig" rid="F6">Figure 6A</xref>). The type &#x2162; reservoirs dominated by sublithiarenite are high in phyllite, slate fragments (<xref ref-type="fig" rid="F9">Figures 9A, B</xref>), mica and other flexible components content. In addition, the abundant ductile clay mineral cement such as illite and kaolinite (<xref ref-type="fig" rid="F9">Figures 9D, F</xref>) in type &#x2162; reservoirs are easy to deform and break under external force. When effective stress increases, the ductile fragments and clay mineral particles are first compacted, deformed, and arranged more closely, and then the reservoir permeability gets reduced (<xref ref-type="bibr" rid="B10">He et al., 2012</xref>), At the same time, the loss of pore space makes the reservoir medium show strong pore compressibility. Therefore, the content of ductile material in sandstone is positively correlated with the pore compressibility coefficient (<xref ref-type="fig" rid="F8">Figures 8B, C</xref>). Rigid cement existing among skeleton particles, such as over growth of quartz cement and continuous crystal cementation of carbonate cement (<xref ref-type="fig" rid="F9">Figure 9E</xref>), can resist external stress and provide a strong supporting effect on pores and fractures, thus reducing the reservoir porosity compressibility (<xref ref-type="bibr" rid="B1">Bloch et al., 2002</xref>; <xref ref-type="bibr" rid="B12">Henares et al., 2016</xref>) (<xref ref-type="fig" rid="F8">Figure 8D</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Relationship between reservoir porosity and pore compressibility under different stress states.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g008.tif"/>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Relationship between reservoir material composition and pore compressibility: <bold>(A)</bold> Quartz, <bold>(B)</bold> Flexibe fragments, <bold>(C)</bold> Clay minerals, and <bold>(D)</bold> Rigid cement.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g009.tif"/>
</fig>
</sec>
<sec id="s4-2-3">
<title>4.2.3 Pore structure characteristics</title>
<p>There is a close relationship between reservoir micropore structure and reservoir pore compressibility. Micro-pore structure of tight sandstone reservoirs differs greatly (<xref ref-type="bibr" rid="B26">Liu et al., 2019</xref>) (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F6">Figure 6</xref>), resulting in the different compressibility in the different types of reservoirs. In general, type &#x2162; reservoirs with high displacement pressure, irreducible water saturation, low median pore throat radius, and <italic>T</italic>
<sub>2</sub> geometric average have high pore compressibility (<xref ref-type="fig" rid="F10">Figure 10</xref>; <xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Variation trend of pore compressibility coefficient with different effective stress and pore structure parameters.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g010.tif"/>
</fig>
<p>The distribution and variation trend of reservoir pore compressibility coefficient with different pore structure parameters under different effective stress is shown in <xref ref-type="fig" rid="F10">Figures 10A&#x2013;D</xref>. With the continuous increase of displacement pressure and irreducible water saturation, the continuous decrease of the median pore throat radius, and NMR <italic>T</italic>
<sub>2glm</sub>, the pore compression coefficient of sandstone reservoir samples keeps increasing, meanwhile, in the process of increasing effective stress, the pore compression coefficient of sandstone samples with higher displacement pressure, higher irreducible water saturation, lower median pore throat radius and NMR <italic>T</italic>
<sub>2glm</sub> shows a more obvious decrease trend. However, the final pore compression coefficient is still greater than that of sandstone samples with lower displacement pressure and lower irreducible water saturation (<xref ref-type="fig" rid="F10">Figure 10</xref>; <xref ref-type="fig" rid="F6">Figure 6B</xref>), which the reason is that the sandstone with lower displacement pressure and irreducible water saturation, large average pore throat radius and <italic>T</italic>
<sub>2glm</sub> are mainly type I reservoir sandstone and it is mostly pure and is of good physical property, low content of ductile rock fragments and clay minerals, high content of rigid cement and less content of compressible deformation materials among skeleton particles. When effective stress increases, the ductile rock fragments and clay minerals among quartz particles are compressed first. With the destruction and deformation of ductile materials, the support force of sandstone reservoir skeleton particles increases, the reservoir pore compression changes from the compression of ductile materials to that of rigid skeleton particles and the pore volume strain rate decreases greatly, resulting in the overall performance of the rapid decrease of pore compression coefficient before the effective stress reaches 10&#xa0;MPa and the slow decrease after that. In addition, type I reservoirs mainly consist of large pores, and the proportion of small size pores is relatively low (<xref ref-type="fig" rid="F4">Figure 4B</xref>). The reduction of the pore volume of large pores shows a very small changing rate. However, reservoirs with high displacement pressure, high irreducible water saturation, small average pore throat radius and <italic>T</italic>
<sub>2glm</sub> value, show a relatively high content of compressible deposit composition such as ductile fragments and fillings, and a relatively low pore space as well. The low stress resistance and small pore volume make these reservoirs show a higher pore compression coefficient.</p>
</sec>
<sec id="s4-2-4">
<title>4.2.4 Pore heterogeneity of the reservoir</title>
<p>Comparison and analysis of the relationship between stage pore volume and pore compressibility coefficient under different pressure. The results are shown in <xref ref-type="fig" rid="F11">Figure 11</xref>. Pore compressibility coefficients is positively correlated with the volume of micropores and micro mesopores in sandstone reservoirs (<xref ref-type="fig" rid="F11">Figures 11A, B</xref>), while it is negatively correlated with the volume of mesopores and macropores (<xref ref-type="fig" rid="F11">Figures 11C, D</xref>), and the pore compressibility coefficient has a greater correlation coefficient with micropores and micro mesopores, which all indicate that the loss of pore space of micropores and micro mesopores, etc, caused by compression and destruction of clay minerals runs through the whole effective stress loading process, and the response of pore volume ratio of micropores and micro mesopores to the change of reservoir pore compressibility is more obvious. However, the correlation coefficient between pore compression coefficient and macropores, mesopores is lower, indicating that the compressibility of macropores and mesopores are jointly controlled by many factors, such as sorting, rounding, arrangement of rock fragments particles, and the mechanical properties of cement, which results in the difference of pore compression degree of different types of reservoir samples under changing stress state.</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Relationship between stage pore volume and pore compressibility: <bold>(A)</bold> Volume of pores (r &#x003c; 2&#xa0;&#x03BC;m), <bold>(B)</bold> Volume of pores (2&#xa0;&#x03BC;m &#x2264; r &#x003c; 10&#xa0;&#x03BC;m), <bold>(C)</bold> Volume of pores (10&#xa0;&#x03BC;m &#x2264; r &#x003c; 20&#xa0;&#x03BC;m), and <bold>(D)</bold> Volume of pores (20&#xa0;&#x03BC;m &#x003c; r).</p>
</caption>
<graphic xlink:href="feart-10-1100951-g011.tif"/>
</fig>
<p>In the present study, the micropores and micro mesopores are regarded as small pores, correspondingly, the mesopores and macropores are considered macropores. On this basis, the stage fractal dimension of small pores and macropores of different samples are obtained (<xref ref-type="bibr" rid="B50">Zhang et al., 2022</xref>) (<xref ref-type="fig" rid="F12">Figure 12A</xref>), In addition, the relationship between the stage pore fractal dimension and pore compressibility coefficient is analyzed (<xref ref-type="fig" rid="F12">Figure 12B</xref>), It is found that reservoir pore compressibility coefficient has an obvious positive correlation with the fractal dimension <italic>D</italic>
<sub>
<italic>L</italic>
</sub> of mesopores and macropores, while a negative correlation with the fractal dimension <italic>D</italic>
<sub>
<italic>s</italic>
</sub> of micropores and micro mesopores. The pore fractal dimension is jointly controlled by the dispersion degree of reservoir pore size distribution and the complexity of the pore surface (<xref ref-type="bibr" rid="B44">Wu et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Hu et al., 2020a</xref>). The Larger <italic>D</italic>
<sub>
<italic>L</italic>
</sub> indicates fewer large pores developing in reservoirs and the reservoir total porosity is small, resulting in a large change rate of pore volume under a stress state, to present a large pore compression coefficient, but it does not mean that reservoir medium is easier to be compressed. On the contrary, the larger the <italic>D</italic>
<sub>
<italic>S</italic>
</sub>, the higher the proportion of relatively large pores in reservoirs, corresponding to the large total porosity in the reservoir, which caused the smaller change rate of pore volume under dynamic stress.</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Relationship between pore distribution heterogeneity and pore compressibility. <bold>(A)</bold> Pore-throat fractal dimension based on NMR, <bold>(B)</bold> Relationship between pore fractal dimension and pore compressibility.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g012.tif"/>
</fig>
</sec>
</sec>
<sec id="s4-3">
<title>4.3 Pore compressibility mechanism</title>
<p>The deformation of sandstone reservoir medium resulted from the deformation and destruction of skeleton particles and interstitial materials under effective stress can lead to the change of reservoir pore-throat morphology and loss of reservoir space, which is macroscopically reflected in the compressibility of reservoirs (<xref ref-type="bibr" rid="B38">Shan and Zhou, 2020</xref>). The compression deformation of sandstone reservoirs is not a single complete elastic deformation or ductile deformation, but an extremely complex elastic-ductile deformation process, which is jointly controlled by the sandstone deposit composition, contact relationship of detrital particles, arrangement of the detrital particles, and the mode of cementation and type of cement.</p>
<p>When tight sandstone is compressed, deformation happens in the throat firstly (<xref ref-type="bibr" rid="B36">Ruan and Wang, 2002</xref>), and large and medium-sized pores and micro-fractures also close at first with the increase of pressure. Slate, phyllite soft rock fragments and kaolinite, illite, and other clay minerals filled in reservoir throat are deformed and damaged by compression, resulting in the occupancy of the pore space and the great reduction of the pore volume. All of those make the reservoirs more compact (<xref ref-type="bibr" rid="B7">Fjaer et al., 2008</xref>), and make the permeability of sandstone decrease significantly. At this stage (stage I), the sandstone reservoir is dominated by viscoplastic failure and deformation of ductile rock fragment and clay minerals. During this stage, the sandstone reservoir shows high permeability damage and pore compressibility. (<xref ref-type="fig" rid="F13">Figure 13</xref>). After the compression of the first stage, reservoir rigid quartz particles are in close contact. With the further increase of effective stress, the closure of the reservoir throat will not continue, the damage increment of reservoir permeability decreases and small-scale non-ideal elastic deformation of rigid quartz particles occurs in sandstone reservoirs, which cause a small amount of loss of intergranular pore space (stage II) (<xref ref-type="fig" rid="F13">Figure 13</xref>), thereby presenting a small pore compression coefficient. The compression deformation of sandstone reservoirs without ductile material mainly happens in stage II.</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Schematic diagram of pore compression mode of tight sandstone reservoirs.</p>
</caption>
<graphic xlink:href="feart-10-1100951-g013.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>In this study, the characteristics, influencing factors and, mechanism of pore fracture compressibility of tight sandstone reservoir are analyzed and the main conclusions are as follows:<list list-type="simple">
<list-item>
<p>1) Sandstone in the study area are mainly quartz arenite and sublitharenite. The content of quartz detrital particles is 75.8%&#x2013;89%, with an average of 81.79%. Fewer rock fragments, ranging from 3% to 16.1%, with an average of 9.14%, and almost free of feldspar. The content of interstitial materials is 6.5%&#x2013;11.2%, with an average of 9.07%. The type I reservoirs mainly consist of mesopores and macropores, accounting for 60.57% and 32.84% respectively. Mesopores are dominated in Type II reservoirs, accounting for 78.98% of the total pore volume. There are almost no macropores, while a similar proportion of mesopores, micro mesopores and micropores in the type &#x2162; reservoirs.</p>
</list-item>
<list-item>
<p>2) The study of pore compressibility shows that the pore compressibility coefficient decreases gradually with the increase of effective stress, and the reduction rate shows the two-stage characteristics of rapid in the early stage and slow in the later stage. The pressure turning point is between 3 and 10&#xa0;MPa. The type &#x2162; reservoir shows the largest average pore compression coefficient, however, type I for the lowest value.</p>
</list-item>
<list-item>
<p>3) The coefficient of pore compressibility is not inversely proportional to pore volume, but directly proportional to the change rate of pore volume. The higher the content of rigid detrital particles, quartz and carbonate cement in sandstone, the smaller the pore compressibility coefficient while the higher the content of ductile components such as soft rock fragments and clay minerals, the greater the pore compression coefficient. The pore structure of the reservoir is closely related to the pore compressibility, reservoir with low displacement pressure, large average pore throat radius, and small <italic>T</italic>
<sub>2glm</sub> value show a lower compressibility coefficient. Moreover, the compressibility coefficient of the reservoir is positively correlated with <italic>D</italic>
<sub>
<italic>L</italic>
</sub> (dimension of large pores such as mesopores and macropores) and negatively correlated with <italic>D</italic>
<sub>
<italic>S</italic>
</sub> (the fractal dimension of micropores and micro mesopores).</p>
</list-item>
<list-item>
<p>4) The compression deformation of sandstone reservoirs is jointly controlled by the material composition of skeleton particles, the contact relationship between skeleton particles, the arrangement of particles, the mode of cementation, and type of cement. It is considered the the pore compression of sandstone including two stages, viscoplastic destructive deformation of ductile components for the first and then the small-scale non-ideal elastic deformation on rigid particles.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>Conceptualization: YG Data curation: YH Formal analysis: YH; YH Funding acquisition:YH; YG Investigation: YH; YG; HQ Methodology: YH; HQ; Project administration: Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process of the Ministry of Education (China University of Mining and Technology) Resources: YG; HQ Supervision: YG; HQ Roles/Writing&#x2013;original draft:YH Writing&#x2013;review and editing: YH; YG; HQ.</p>
</sec>
<ack>
<p>We acknowledge the support from the National Natural Science Foundation of China (No. 41772130) and the Jiangsu Graduate Student Scientific Research and Innovation Program (KYCX21_2325). The authors wish to acknowledge the Research Institute of Petroleum Exploration &#x26; Development of Changqing Oilfield Company for providing the cores and some geological data. We also thank the reviewers for constructive comments that improved the manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<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="s9">
<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>
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