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<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>
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<article-id pub-id-type="publisher-id">1519602</article-id>
<article-id pub-id-type="doi">10.3389/feart.2025.1519602</article-id>
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<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Original Research</subject>
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<title-group>
<article-title>Influence of borehole trajectory and pressure on the characteristics of drilling induced fractures</article-title>
<alt-title alt-title-type="left-running-head">Lei 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.2025.1519602">10.3389/feart.2025.1519602</ext-link>
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<name>
<surname>Lei</surname>
<given-names>Yushun</given-names>
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<sup>1</sup>
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<surname>Wang</surname>
<given-names>Jiayu</given-names>
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<surname>Zhu</surname>
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<surname>Li</surname>
<given-names>Muyuan</given-names>
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<sup>1</sup>
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<surname>Zhao</surname>
<given-names>Xinwei</given-names>
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<sup>1</sup>
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<surname>Gao</surname>
<given-names>Xiangsen</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<surname>Zhang</surname>
<given-names>Mingming</given-names>
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<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Shandong Institute of Petroleum and Chemical Technology</institution>, <addr-line>Dongying</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Geoscience</institution>, <institution>China University of Petroleum</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Sinopec Research Institute of Petroleum Engineering Co., Ltd.</institution>, <institution>China Petroleum and Chemical Corporation</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
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<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/573540/overview">Yifei Sun</ext-link>, Taiyuan University of 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/1871743/overview">Zhengzheng Cao</ext-link>, Henan Polytechnic University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2966308/overview">Tola Garo Shaka</ext-link>, Adama Science and Technology University, Ethiopia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xiangsen Gao, <email>2016006@sdipct.edu.cn</email>
</corresp>
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<pub-date pub-type="epub">
<day>29</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
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<volume>13</volume>
<elocation-id>1519602</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>03</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Lei, Wang, Zhu, Li, Zhao, Gao and Zhang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lei, Wang, Zhu, Li, Zhao, Gao and Zhang</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>Research on the identification and classification of drilling-induced fractures plays a critical role in clarifying the mechanisms of wellbore instability and drilling fluid loss, while also supporting the analysis of imaging logging data and reservoir evaluation. In this study, a prediction model for the occurrence of drilling induced fractures is established by using linear elastic wellbore stress model combined with the tensile failure criterion of wellbore surrounding rock. The influences of engineering parameters, specifically borehole trajectory and bottom-hole pressure, on the distribution of principal stresses around the wellbore, as well as the angle between drilling-induced fractures and the borehole axis are investigated. The findings reveal that the induced fractures exhibit a highly organized pattern, typically forming at 180&#xb0; intervals with a nearly symmetrical, downward-diffusing arrangement. This pattern provides a solid theoretical basis for the identification and classification of these fractures. In addition, under low bottom-hole pressure, the well tends to form feather-shaped induced fractures. As the pressure of the liquid column increases, the angle between these fractures and the borehole axis decreases while their length expands, eventually evolving into a &#x201c;J&#x201d;-shaped fracture. Accurate detection and identification of such induced fractures are crucial for reliably interpreting fracture networks and evaluating reservoirs in unconventional oil and gas fields.</p>
</abstract>
<kwd-group>
<kwd>bottom hole pressure</kwd>
<kwd>breakout pressure</kwd>
<kwd>drilling induced fracture</kwd>
<kwd>fracture occurrence</kwd>
<kwd>engineering parameter</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Geohazards and Georisks</meta-value>
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</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Natural fractures in the formation significantly contribute to borehole instability and drilling fluid losses. Triaxial mechanical tests on fractured rocks indicate that the stress required to reinitiate failure along these pre-existing fracture surfaces is 43%&#x2013;55% lower than that for intact core samples (<xref ref-type="bibr" rid="B5">Bai, 2020</xref>; <xref ref-type="bibr" rid="B10">Dong et al., 2025</xref>; <xref ref-type="bibr" rid="B13">Fengjiao et al., 2023</xref>; <xref ref-type="bibr" rid="B14">Fontoura et al., 2002</xref>; <xref ref-type="bibr" rid="B17">Guan and Sheng, 2017</xref>; <xref ref-type="bibr" rid="B21">Huang et al., 2019</xref>; <xref ref-type="bibr" rid="B23">Li, 2020</xref>). Due to the lower tensile strength of natural fractures compared to the rock&#x2019;s tensile strength, natural fractures tend to open preferentially under certain conditions, thereby controlling the spatial characteristics of fracture propagation (<xref ref-type="bibr" rid="B32">Qin, 2006</xref>; <xref ref-type="bibr" rid="B2">Al-Ajmi and Zimmerman, 2006</xref>; <xref ref-type="bibr" rid="B12">Ewy, 1999</xref>; <xref ref-type="bibr" rid="B22">Lee et al., 2012</xref>; <xref ref-type="bibr" rid="B18">He et al., 2015</xref>; <xref ref-type="bibr" rid="B34">Setiawan and Zimmerman, 2018</xref>). Improving the understanding of fractures is beneficial for further research on reservoir evaluation, geological understanding, and reservoir knowledge across various geological historical periods (<xref ref-type="bibr" rid="B24">Liu et al., 2016</xref>; <xref ref-type="bibr" rid="B25">Liu et al., 2018</xref>; <xref ref-type="bibr" rid="B26">Lu et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Moos et al., 2003</xref>; <xref ref-type="bibr" rid="B30">Noohnejad et al., 2021</xref>; <xref ref-type="bibr" rid="B33">Qiu et al., 2011</xref>; <xref ref-type="bibr" rid="B37">Sheng et al., 2006</xref>). Current methods for analyzing natural fractures in formations often lack precision (<xref ref-type="bibr" rid="B36">Sheng et al., 2017</xref>; <xref ref-type="bibr" rid="B35">Sheng et al., 2018</xref>; <xref ref-type="bibr" rid="B39">Tabatabaee et al., 2018</xref>; <xref ref-type="bibr" rid="B41">Wei et al., 2013</xref>; <xref ref-type="bibr" rid="B42">Wen, 2012</xref>; <xref ref-type="bibr" rid="B43">Wu et al., 2024</xref>; <xref ref-type="bibr" rid="B42">Wen, 2012</xref>). In contrast, imaging logging offers an intuitive two-dimensional visualization of the borehole wall, providing a reliable foundation for accurately identifying and extracting geological features&#x2014;such as rock structure, stratification, pore networks, and fractures&#x2014;which in turn leads to superior geological interpretations (<xref ref-type="bibr" rid="B38">Singh et al., 2019</xref>; <xref ref-type="bibr" rid="B6">Chen et al., 2015</xref>; <xref ref-type="bibr" rid="B24">Liu et al., 2016</xref>; <xref ref-type="bibr" rid="B51">Zhou et al., 2018</xref>; <xref ref-type="bibr" rid="B27">Lu et al., 2013</xref>; <xref ref-type="bibr" rid="B31">&#xd8;kland and Cook, 1998</xref>; <xref ref-type="bibr" rid="B45">Zhang, 2013</xref>; <xref ref-type="bibr" rid="B4">Amadei, 2012</xref>). In reservoir evaluation, it is crucial to more accurately and effectively identify effective fractures and discern and eliminate the influence of drilling-induced fractures (<xref ref-type="bibr" rid="B47">Zhang et al., 2021b</xref>; <xref ref-type="bibr" rid="B48">Zhang et al., 2023</xref>; <xref ref-type="bibr" rid="B50">Zhao et al., 2020</xref>
<xref ref-type="bibr" rid="B1">Ai, 2015</xref>
<xref ref-type="bibr" rid="B3">Al-Ajmi and Al-Harthy, 2010</xref>). Due to the strong heterogeneity of the Ordovician carbonate rocks in the Shunbei oil and gas field, the diversity of reservoir space types, and the varying shapes of fractures, detecting and identifying fractures are particularly challenging (<xref ref-type="bibr" rid="B43">Wu et al., 2024</xref>; <xref ref-type="bibr" rid="B44">Xia, 2018</xref>; <xref ref-type="bibr" rid="B49">Zhang et al., 2017</xref>; <xref ref-type="bibr" rid="B46">Zhang et al., 2021a</xref>). Therefore, the correct identification of induced fractures is essential (<xref ref-type="bibr" rid="B20">Huang et al., 2012</xref>; <xref ref-type="bibr" rid="B24">Liu et al., 2016</xref>; <xref ref-type="bibr" rid="B11">Ebrahimi et al., 2020</xref>; <xref ref-type="bibr" rid="B8">Denney, 2005</xref>; <xref ref-type="bibr" rid="B40">Udegbunam et al., 2013</xref>; <xref ref-type="bibr" rid="B28">Ma et al., 2021</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2019</xref>).</p>
<p>In the realm of borehole stability, <xref ref-type="bibr" rid="B22">Lee et al. (2012)</xref> proposed a wellbore stability model for formations with anisotropic strength and predicted collapse positions in different drilling directions. <xref ref-type="bibr" rid="B18">He et al. (2015)</xref> explored the impact of water content on weak planes and wellbore stability by developing a model that accounts for these planes. Their comparison of slip failure along weak planes versus shear failure in intact rock revealed that cross-dip wells are less stable than up-dip or down-dip wells in a strike-slip stress regime, and that higher water content leads to increased collapse pressure. <xref ref-type="bibr" rid="B34">Setiawan and Zimmerman (2018)</xref> introduced a transversely isotropic well stress model for shale reservoirs, employing a three-dimensional Mogi-Coulomb criterion to assess borehole collapse pressure while considering the effects of weak surface structures on rock strength. <xref ref-type="bibr" rid="B38">Singh et al. (2019)</xref> presented an analytical solution for wellbore stability in rock masses exhibiting elastic-perfectly plastic and elastic-brittle behavior using a 3D failure criterion. Their findings indicate that the plastic zone predicted by the Mogi-Coulomb criterion is about 13%&#x2013;20% smaller than that estimated by the Mohr-Coulomb criterion, with intermediate principal stress contributing to improved wellbore stability and wellbore column pressure significantly affecting the plastic zone radius. Additionally, <xref ref-type="bibr" rid="B6">Chen et al. (2015)</xref> together with <xref ref-type="bibr" rid="B53">Ding et al. (2018)</xref> developed a model for wellbore stability that incorporates multiple weak planes, demonstrating that when more than four such planes are present, the collapse pressure is predominantly controlled by these features and increases gradually. <xref ref-type="bibr" rid="B24">Liu et al. (2016)</xref> developed a wellbore stress distribution model in a transversely isotropic formation drilled at an arbitrary angle to the weak planes. They studied both controllable factors (internal pressure, dipping angle, and dipping direction) and uncontrollable factors (weak planes occurrence and <italic>in situ</italic> stress), concluding that a proper lower critical mud weight is essential for ensuring wellbore stability. <xref ref-type="bibr" rid="B51">Zhou et al. (2018)</xref> investigated how rock elastic transverse isotropy influences pore pressure distribution and seepage stresses, emphasizing that anisotropic seepage in shales with bedding and fractures requires a lower internal critical mud weight than that applied at the borehole wall. Similarly, <xref ref-type="bibr" rid="B27">Lu et al. (2013)</xref> found that porous flow in shale formations exacerbates wellbore instability, with the critical mud weight highly sensitive to the presence of weak planes. <xref ref-type="bibr" rid="B31">&#xd8;kland and Cook (1998)</xref> showed through thick-walled cylinder tests that wells drilled within 15&#xb0; of the bedding-parallel direction are particularly unstable, necessitating a higher mud density to prevent losses. Borehole stability analysis typically begins by calculating the stress tensor on the wellbore wall after drilling, followed by applying a strength criterion to compare principal stresses with rock strength. <xref ref-type="bibr" rid="B45">Zhang (2013)</xref> noted that when weak bedding planes are present, the maximum slip failure direction deviates from the minimum stress direction, and the overlap of shear failure in intact rock with sliding failure along weak planes enlarges unstable areas. Although <xref ref-type="bibr" rid="B27">Lu et al. (2013)</xref> also observed that porous flow in fractured formations further undermines stability, their study did not consider elastic anisotropy and natural fractures in bedding. Static stability models often overlook the hydraulic effects of drilling fluids on pore pressure and rock failure. To address this, Kanfar et al. (2015) developed a time-dependent numerical model that incorporates the transverse isotropy of shales, revealing significant differences in pore pressure compared to isotropic models and leading to different critical mud pressure recommendations, despite not accounting for thermal and chemical gradients. <xref ref-type="bibr" rid="B19">Higgins et al. (2008)</xref> further demonstrated that models including anisotropy capture subtle stress variations more accurately, which is crucial for well completion decisions. Additionally, <xref ref-type="bibr" rid="B9">Dokhani et al. (2016)</xref> incorporated the interaction between aqueous fluids and clay minerals into their model, treating shale as an isotropic medium with strength anisotropy defined by an extended Jaeger&#x2019;s criterion and a bedding plane angle (&#x3b2;) relative to the maximum principal stress. Given the finely laminated structure, natural fractures, low permeability, and cation exchange capacity of shales, it is essential to account for the combined effects of natural fractures and bedding planes on near-wellbore stresses. Finally, <xref ref-type="bibr" rid="B20">Huang et al. (2012)</xref> analyzed stress distributions around boreholes in layered rocks with water-based drilling fluids, highlighting the critical roles of borehole inclination, hydraulic conductivity, and water activity in determining a safe mud pressure window.</p>
<p>Both domestic and international scholars have extensively studied fracture identification, highlighting that each fracture type possesses unique features that significantly affect oil and gas exploration and production. During drilling, fractures are typically classified as natural or induced based on their origin (<xref ref-type="bibr" rid="B16">Gao et al., 2021</xref>; <xref ref-type="bibr" rid="B15">Gao et al., 2024</xref>). Currently, imaging logging is the most precise method for detecting fractures, providing images that reveal a broad spectrum of geological events as well as drilling-induced disturbances on the wellbore. Drilling-induced tensile fractures are formed under the influence of ground stress during the drilling process and occur simultaneously with the drilling operation. These fractures typically develop parallel to the wellbore, appearing symmetrically at 180&#xb0; intervals. Drilling-induced tensile fractures occur only when there is a significant disparity in horizontal stresses, and they usually extend less than 1 cm into the surrounding formation. If the bottom-hole pressure is maintained below the minimum principal stress, these fractures will not propagate further, thereby preventing drilling fluid loss. Unlike natural fractures, induced fractures form as a result of stress changes during drilling, following predictable patterns that can be modeled under different operating conditions.</p>
<p>Research on predicting the initiation locations and morphologies of drilling-induced fractures around wellbores remains limited. A thorough understanding of the mechanisms behind fracture formation and propagation is essential for ground stress inversion, determining optimal drilling fluid density windows, and optimizing the particle size distribution of sealing materials. This knowledge also aids in classifying fracture types and precisely determining their orientations from imaging logging data, which is critical for reliable reservoir evaluation. Consequently, this study develops a prediction model for drilling-induced fractures, investigating the impact of engineering parameters such as wellbore trajectory and borehole pressure on fracture characteristics. It further provides quantitative criteria to assess the effectiveness of drilling fluid leak prevention and plugging strategies based on these fracture features.</p>
</sec>
<sec id="s2">
<title>2 Drilling-induced fractures prediction model</title>
<sec id="s2-1">
<title>2.1 Coordinate transformation</title>
<p>To determine the stress distribution characteristics around the wellbore, it is first necessary to transform the <italic>in situ</italic> stresses into the global coordinate system. As illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>, X<sub>G</sub>-Y<sub>G</sub>-Z<sub>G</sub> represents the global coordinate system, where X<sub>G</sub> points north, Y<sub>G</sub> points east, and Z<sub>G</sub> is vertical. X<sub>S</sub>-Y<sub>S</sub>-Z<sub>S</sub> represents the <italic>in situ</italic> stress coordinate system, corresponding to the maximum horizontal stress, minimum horizontal stress, and vertical stress, respectively. To transform the <italic>in situ</italic> stresses into the global coordinate system, three coordinate transformations are required. First Step, rotate the global coordinate system around the Z<sub>G</sub> axis by an angle &#x3b1;<sub>1</sub>, resulting in the X&#x2032;-Y&#x2032;-Z&#x2032; coordinate system. Second Step, rotate the X&#x2032;-Y&#x2032;-Z&#x2032; coordinate system around the Y&#x2032; axis by an angle &#x3b2;<sub>1</sub>, yielding the X&#x2033;-Y&#x2033;-Z&#x2033; coordinate system. Third Step, rotate the X&#x2033;-Y&#x2033;-Z&#x2033; coordinate system around the X&#x2033; axis by an angle &#x3b2;<sub>1</sub>. This series of transformations converts the X<sub>G</sub>-Y<sub>G</sub>-Z<sub>G</sub> coordinate system into the X<sub>s</sub>-Y<sub>s</sub>-Z<sub>s</sub> coordinate system. This transformation process enables the accurate determination of the stress distribution around the wellbore in relation to the global geographic orientation.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Three steps of the transformation between the global coordinate system (GCS) and the <italic>in situ</italic> stress coordinate system (ICS) <bold>(a)</bold> rotation about the Z<sub>G</sub> axis <bold>(b)</bold> rotation about the Y&#x2032; axis <bold>(c)</bold> rotation about the X&#x2033; axis.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g001.tif"/>
</fig>
<p>Based on geometric knowledge, a transformation matrix <italic>R</italic>
<sub>1</sub> is established, as shown in <xref ref-type="disp-formula" rid="e1">Equation 1</xref>,<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mfenced open="[" close="]" separators="|">
<mml:mrow>
<mml:mtable columnalign="center">
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
<mml:mtd>
<mml:mrow>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
<mml:mtd>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
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<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
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<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
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<mml:msub>
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<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
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<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
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<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
<mml:mtd>
<mml:mrow>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
<mml:mtd>
<mml:mrow>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
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<mml:mrow>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
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<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
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<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
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<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
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<mml:mo>&#x2212;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
<mml:mtd>
<mml:mrow>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b1;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>sin</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
<mml:mtd>
<mml:mrow>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b2;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mo>&#x2061;</mml:mo>
<mml:msub>
<mml:mi>&#x3b3;</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>Using the stress tensor <italic>&#x3c3;</italic>
<sub>G</sub> to represent the components of stress in the global coordinate system and <italic>&#x3c3;</italic>
<sub>S</sub> to represent the components of stress in the stress coordinate system, the transformation relationship between them can be expressed as shown in <xref ref-type="disp-formula" rid="e2">Equation 2</xref>,<disp-formula id="e2">
<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi mathvariant="normal">G</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msubsup>
<mml:mi>R</mml:mi>
<mml:mn>1</mml:mn>
<mml:mi>T</mml:mi>
</mml:msubsup>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>S</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>Where <inline-formula id="inf1">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>S</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mfenced open="[" close="]" separators="|">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi mathvariant="normal">H</mml:mi>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>,</mml:mo>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>h</mml:mi>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>,</mml:mo>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, <italic>&#x3c3;</italic>
<sub>H</sub> represents the maximum horizontal stress, measured in MPa; <italic>&#x3c3;</italic>
<sub>h</sub> represents the minimum horizontal stress, measured in MPa; and <italic>&#x3c3;</italic>
<sub>v</sub> represents the vertical stress, measured in MPa.</p>
<p>After transforming the stress into the global coordinate system, it should be further transformed into the wellbore coordinate system for analysis. The transformation relationship between the global coordinate system (GCS) and the wellbore coordinate system (BCS) is shown in <xref ref-type="fig" rid="F2">Figure 2</xref>, where X<sub>B</sub>-Y<sub>B</sub>-Z<sub>B</sub> represents the wellbore coordinate system, &#x3b1;<sub>2</sub> represents the angle between the wellbore inclination and the true north direction, usually referred to as the wellbore azimuth angle; &#x3b2;<sub>2</sub> represents the angle between the wellbore axis and the vertical direction, typically referred to as the well deviation angle. Using &#x3c3;<sub>B</sub> to represent the stress tensor in the wellbore coordinate system, according to the study by <xref ref-type="bibr" rid="B22">Lee et al. (2012)</xref>, the transformation relationship between &#x3c3;<sub>B</sub> and <italic>&#x3c3;</italic>
<sub>G</sub> is expressed as shown in <xref ref-type="disp-formula" rid="e3">Equation 3</xref>,<disp-formula id="e3">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi>B</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:msub>
<mml:mi>&#x3c3;</mml:mi>
<mml:mi mathvariant="normal">G</mml:mi>
</mml:msub>
<mml:msubsup>
<mml:mi>R</mml:mi>
<mml:mn>2</mml:mn>
<mml:mi>T</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Transformation between global coordinate system (GCS) and borehole coordinate system (BCS).</p>
</caption>
<graphic xlink:href="feart-13-1519602-g002.tif"/>
</fig>
<p>The transformation matrix <italic>R</italic>
<sub>2</sub> is represented as shown in <xref ref-type="disp-formula" rid="e4">Equation 4</xref>.<disp-formula id="e4">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mn>2</mml:mn>
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</mml:msub>
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<mml:msub>
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</mml:mrow>
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</mml:mrow>
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<mml:mi>sin</mml:mi>
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</mml:mrow>
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<mml:mi>sin</mml:mi>
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</mml:msub>
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<label>(4)</label>
</disp-formula>
</p>
</sec>
<sec id="s2-2">
<title>2.2 Wellbore stress distribution</title>
<p>The representation of stress tensors around the wellbore in polar coordinates is more convenient. Therefore, after transforming the stress from the global coordinate system to the wellbore coordinate system, the stress tensor <italic>&#x3c3;</italic>
<sub>B</sub>, i.e., [&#x3c3;<sub>x</sub>, &#x3c3;<sub>y</sub>, &#x3c3;<sub>z</sub>, &#x3c4;<sub>xy</sub>, &#x3c4;<sub>xz</sub>, &#x3c4;<sub>yz</sub>], needs to be further transformed into polar coordinates. Due to the disturbance of the original stress state by drilling through the formation, the stress redistributes around the wellbore and creates stress concentration effects. According to Biot&#x2019;s effective stress theory, the equation for the effective stress around the wellbore at any inclination angle is expressed as shown in <xref ref-type="disp-formula" rid="e5">Equation 5</xref>,<disp-formula id="e5">
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<label>(5)</label>
</disp-formula>
</p>
<p>In the equation, r<sub>w</sub> represents the wellbore radius, measured in meters; r represents the distance from any point around the wellbore to the wellbore axis, measured in meters; P<sub>w</sub> represents the bottomhole fluid column pressure, measured in MPa; Pp represents the pore pressure of the formation, measured in MPa; &#x3b8; represents the azimuth angle around the wellbore, i.e., the angle, measured in degrees, from a point around the wellbore rotating clockwise to the X<sub>b</sub> coordinate axis; &#x3b1; represents the Biot&#x2019;s effective stress coefficient, which ranges from 0 to 1 and is dimensionless.</p>
<p>Once the stress distribution around the wellbore is determined, these values must be incorporated into rock strength criteria to evaluate the formation&#x2019;s stability. Because these criteria are typically expressed in terms of principal stresses, the wellbore stresses need to be transformed accordingly. <xref ref-type="disp-formula" rid="e6">Equation 6</xref> shows how to convert stresses from polar coordinates into principal stresses,<disp-formula id="e6">
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<label>(6)</label>
</disp-formula>
</p>
<p>The relative magnitudes of the three principal stresses at any point around the wellbore vary with changes in the bottomhole fluid column pressure. To accurately distinguish between the three principal stresses around the wellbore, substitute the expression <inline-formula id="inf2">
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</inline-formula> obtained from <xref ref-type="disp-formula" rid="e6">Equation 6</xref> into <xref ref-type="disp-formula" rid="e7">Equation 7</xref>,<disp-formula id="e7">
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<label>(7)</label>
</disp-formula>
</p>
</sec>
<sec id="s2-3">
<title>2.3 Induced fracture orientation determination</title>
<p>To differentiate between types of tensile failure in the wellbore wall, it is necessary to quantitatively analyze the relationship between the three principal stresses around the wellbore. Additionally, it is important to compare the minimum principal stress around the wellbore with the tensile strength of the rock, as shown in <xref ref-type="disp-formula" rid="e8">Equation 8</xref>,<disp-formula id="e8">
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<label>(8)</label>
</disp-formula>When &#x3c3;<sub>r</sub> equals &#x3c3;<sub>3</sub> and <xref ref-type="disp-formula" rid="e8">Equation 8</xref> holds true, drilling-induced fractures occur around the wellbore. If the hydrostatic pressure exceeds the formation pressure, it may lead to drilling fluid loss. The relationship between the angle of induced fractures and the well axis stress is expressed as shown in <xref ref-type="disp-formula" rid="e9">Equation 9</xref>,<disp-formula id="e9">
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<label>(9)</label>
</disp-formula>
</p>
<p>In which, <inline-formula id="inf3">
<mml:math id="m12">
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</mml:mrow>
</mml:math>
</inline-formula> represents the angle between the drilling-induced fractures and the wellbore axis, measured in degrees, as shown in <xref ref-type="fig" rid="F3">Figure 3</xref>. This angle represents the orientation between the maximum principal stress around the wellbore and the wellbore axis. By incorporating <italic>in situ</italic> stress, wellbore trajectory, and fluid column pressure, the principal stresses at different points around the wellbore can be determined. This enables the identification of tensile failure types and the calculation of the angle at each point relative to the wellbore axis, ultimately predicting the morphology of drilling-induced fractures under these conditions.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The angle between the minimum principal stress acting on the borehole wall and the borehole axis in any trajectory (<xref ref-type="bibr" rid="B52">Zoback, 2007</xref>).</p>
</caption>
<graphic xlink:href="feart-13-1519602-g003.tif"/>
</fig>
<p>It is worth noting that this study assumes the formation rock to be a linear elastic medium and does not consider the effects of temperature, fluid interactions, chemical influences, or formation exposure time on the stress distribution around the wellbore. Additionally, given the characteristics of rock being strong in compression but weak in tension, as well as the natural development of fractures, it is generally assumed that cracks will form when the rock experiences tensile stress.</p>
</sec>
<sec id="s2-4">
<title>2.4 Model verification</title>
<p>Based on the MATLAB 2022a platform, a wellbore-induced fracture prediction model was developed and implemented. To verify the accuracy of the program, the data from <xref ref-type="table" rid="T1">Table 1</xref> was used as input for the model. The program was then employed to calculate the circumferential, radial, and vertical stresses around a vertical wellbore. The results were compared with those obtained using <xref ref-type="disp-formula" rid="e5">Equation 5</xref> to ensure the correctness of the developed program.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Inputting parameters.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Vertical <italic>in situ</italic> stress/MPa</th>
<th align="center">Horizontal maximum <italic>in situ</italic> stress/MPa</th>
<th align="center">Horizontal minimum <italic>in situ</italic> stress/MPa</th>
<th align="center">Pore pressure/MPa</th>
<th align="center">Fluid column pressure in well/MPa</th>
<th align="center">&#x6709;&#x6548;&#x5e94;&#x529b;&#x7cfb;&#x6570;/&#x65e0;&#x91cf;&#x7eb2;</th>
<th align="center">Poisson&#x2019; ratio/&#x65e0;&#x91cf;&#x7eb2;</th>
<th align="center">Tensile strength/MPa</th>
<th align="center">Diameter/cm</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">50</td>
<td align="center">40</td>
<td align="center">30</td>
<td align="center">25</td>
<td align="center">30</td>
<td align="center">1</td>
<td align="center">0.22</td>
<td align="center">0</td>
<td align="center">15.24</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The circumferential, radial, and vertical stresses on the wellbore wall of a vertical well, as calculated using the program developed in this study, are shown in <xref ref-type="fig" rid="F4">Figure 4</xref>. Similarly, for a vertical well in the direction of the minimum horizontal <italic>in situ</italic> stress, the calculation process and results for wellbore circumferential stress, based on <xref ref-type="disp-formula" rid="e5">Equation 5</xref>, are presented in <xref ref-type="disp-formula" rid="e10">Equation 10</xref>,<disp-formula id="e10">
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<label>(10)</label>
</disp-formula>
</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Stresses around wellbore wall for vertical well.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g004.tif"/>
</fig>
<p>Comparing the results obtained from <xref ref-type="disp-formula" rid="e5">Equation 5</xref> with those shown in <xref ref-type="fig" rid="F4">Figure 4</xref> reveals a perfect match, confirming the accuracy of the developed model and calculation program, including the coordinate transformation equations and principal stress calculations.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results and analysis</title>
<p>Based on this model, the study further explores the effects of different wellbore trajectories and fluid column pressures on the principal stresses around the wellbore, the initiation angle of induced fractures, and their occurrence. The variation patterns of wellbore principal stresses and induced fracture orientations with changes in wellbore trajectory and fluid column pressure are discussed in the following sections.</p>
<sec id="s3-1">
<title>3.1 The impact of wellbore trajectory</title>
<p>This study investigates the locations and morphologies of drilling-induced fractures in a normal fault environment. Assuming a fluid column pressure of 50 MPa in the wellbore, the remaining parameters from <xref ref-type="table" rid="T1">Table 1</xref> are used to analyze the effects of borehole trajectory and pressure on the characteristics of drilling-induced fractures. Utilizing the drilling-induced fracture prediction model established in this study and inputting the parameters from <xref ref-type="table" rid="T1">Table 1</xref>, the variation trends of the principal stresses on the wellbore wall and the angles between induced fractures and the wellbore axis along the circumferential angle of the wellbore are depicted in <xref ref-type="fig" rid="F5">Figure 5</xref>&#x2013;<xref ref-type="fig" rid="F20">20</xref>. The dual vertical axes in the diagrams respectively quantify two critical parameters: the left axis measures principal stress magnitudes, while the right axis (purple crosses) tracks angular deviation between drilling-induced fractures and the wellbore axis. Rock mechanics analysis reveals these fractures initiate when tangential stress at the borehole wall exceeds the tensile strength threshold. Specifically, fracture propagation commences as the minimum principal stress transitions from compressive to tensile domain, a fundamental principle derived from tensile failure criteria in wellbore stability studies.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 0&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 0&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g005.tif"/>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 0&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 30&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 0&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 60&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 0&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 90&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g008.tif"/>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 30&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 0&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g009.tif"/>
</fig>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 30&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 30&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g010.tif"/>
</fig>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 30&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 60&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g011.tif"/>
</fig>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 30&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 90&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g012.tif"/>
</fig>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 60&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 0&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g013.tif"/>
</fig>
<fig id="F14" position="float">
<label>FIGURE 14</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 60&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 30&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g014.tif"/>
</fig>
<fig id="F15" position="float">
<label>FIGURE 15</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 60&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 60&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g015.tif"/>
</fig>
<fig id="F16" position="float">
<label>FIGURE 16</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 60&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 90&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g016.tif"/>
</fig>
<fig id="F17" position="float">
<label>FIGURE 17</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 90&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 0&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g017.tif"/>
</fig>
<fig id="F18" position="float">
<label>FIGURE 18</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 90&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 30&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g018.tif"/>
</fig>
<fig id="F19" position="float">
<label>FIGURE 19</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 90&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 60&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g019.tif"/>
</fig>
<fig id="F20" position="float">
<label>FIGURE 20</label>
<caption>
<p>Azimuth angle &#x03B1;b &#x3d; 90&#x00B0;, Well inclination angle &#x03B2;b &#x3d; 90&#x00B0;: Principal stresses around the wellbore, induced fractures, and their angles relative to the wellbore axis. <bold>(a)</bold> Principal stress and induced fracture angle, <bold>(b)</bold> Induced fracture.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g020.tif"/>
</fig>
<p>From <xref ref-type="fig" rid="F5">Figure 5a</xref>, it can be observed that the first and second principal stresses around the wellbore do not vary with the circumferential angle. The third principal stress reaches its maximum value in the direction of minimum horizontal <italic>in situ</italic> and its minimum value in the direction of maximum horizontal <italic>in situ</italic>. The angle &#x3c9; between induced fractures and the wellbore axis remains 0 throughout. This indicates that a vertical fracture is generated in the direction of maximum horizontal <italic>in situ</italic>, as depicted in <xref ref-type="fig" rid="F5">Figure 5b</xref>.</p>
<p>Maintaining the drilling direction constant, but varying the well deviation angle, the wellbore&#x2019;s principal stresses, the angle between induced fractures and the wellbore axis, and the induced fracture orientations for well deviation angles of 30&#xb0;, 60&#xb0;, and 90&#xb0; are illustrated in <xref ref-type="fig" rid="F6">Figures 6</xref>&#x2013;<xref ref-type="fig" rid="F8">8</xref>, respectively. The mechanical response exhibits distinct patterns across different well orientations. At &#x3b2;b &#x3d; 30&#xb0; deviation, circumferential stress analysis shows dual stress minima at 90&#xb0;/270&#xb0; azimuths. Stress state transition initiates fracture development with maintained near-orthogonal fracture-wellbore alignment (&#x3b8; &#x2248; 90&#xb0;), producing characteristic feather-textured fracture patterns as documented in <xref ref-type="fig" rid="F6">Figures 6a,b</xref>. Notably, increasing deviation to &#x3b2;<sub>b</sub> &#x3d; 60&#xb0; induces comprehensive tensile transformation (&#x3c3;<sub>min</sub>&#x3c;0 throughout azimuths), driving &#x3b8; fluctuations exceeding 60&#xb0;. This mechanically governed instability generates multi-axial fracture intersections shown in <xref ref-type="fig" rid="F7">Figures 7a,b</xref>, demonstrating progressive complexity with inclination angle. The horizontal well configuration (&#x3b2;<sub>b</sub> &#x3d; 90&#xb0;) presents polar stress minima at 0&#xb0;/180&#xb0; positions. Theta maintains perfect coaxial alignment (&#x3b8;&#x2261;0&#xb0;) during wellbore rotation, forming vertically oriented fracture planes that bisect the borehole circumference (<xref ref-type="fig" rid="F8">Figures 8a,b</xref>). This orientation-dependent fracture geometry evolution follows fundamental principles of anisotropic stress redistribution in inclined boreholes.</p>
<p>Keeping the wellbore azimuth angle at 30&#xb0; and varying the well deviation angle to 0&#xb0;, 30&#xb0;, 60&#xb0;, and 90&#xb0;, the principal stresses around the wellbore, induced fractures, and their angles with the wellbore axis are depicted in <xref ref-type="fig" rid="F9">Figures 9</xref>&#x2013;<xref ref-type="fig" rid="F12">12</xref>. When the well deviation angle &#x3b2;<sub>b</sub> &#x3d; 0&#xb0;, the minimum principal stress around the wellbore reaches its minimum values at 60&#xb0; and 240&#xb0; around the wellbore. The angle between induced fractures and the wellbore axis remains 0&#xb0;, resulting in two vertical fractures at positions 60&#xb0; and 240&#xb0; around the wellbore. For a well deviation angle of &#x3b2;<sub>b</sub> &#x3d; 30&#xb0;, the minimum principal stress around the wellbore transitions to tensile stress in the range of 0&#xb0;&#x2013;108&#xb0; and 181&#xb0;&#x2013;289&#xb0; around the wellbore. Mechanical analysis reveals pronounced angular instability in fracture trajectory deviation (&#x394;&#x3b8;&#x3e;45&#xb0;), yielding distinctive hooked fracture geometries. This bifurcation pattern, encompassing both J-type curvature and mechanical fishhook configurations, arises from critical stress anisotropy conditions documented in <xref ref-type="fig" rid="F10">Figures 10a,b</xref>. The observed morphological bifurcation demonstrates fundamental fracture path selection mechanisms governed by near-wellbore stress tensor reconfiguration. With a well deviation angle of &#x3b2;<sub>b</sub> &#x3d; 60&#xb0;, the minimum principal stress around the wellbore transitions to tensile stress in the ranges of 0&#xb0;&#x2013;82&#xb0;, 163&#xb0;&#x2013;262&#xb0;, and 323&#xb0;&#x2013;360&#xb0; around the wellbore. Similar to the previous case, the angle between induced fractures and the wellbore axis undergoes significant variations, resulting in induced fracture orientations resembling &#x201c;J-shaped&#x201d; fractures. The induced fractures exhibit inflection points at 60&#xb0; and 240&#xb0;, forming more pronounced &#x201c;J-shaped&#x201d; fractures, as depicted in <xref ref-type="fig" rid="F11">Figures 11a,b</xref>. In horizontal well configurations (&#x3b2;<sub>b</sub> &#x3d; 90&#xb0;), fracture trajectory angularity demonstrates constrained variability (&#x394;&#x3b8;&#x3c;10&#xb0;), manifesting hybrid fracture morphologies that bridge classical feather-textured patterns and mechanical &#x201c;fishhook&#x201d; configurations. This transitional morphology emerges from the unique stress coupling effects inherent to horizontal borehole geometries.</p>
<p>Maintaining the wellbore azimuth angle at 60&#xb0;, the variations in principal stresses around the wellbore and induced fracture orientations with respect to the circumferential angle for well deviation angles of 0&#xb0;, 30&#xb0;, 60&#xb0;, and 90&#xb0; are illustrated in <xref ref-type="fig" rid="F13">Figures 13</xref>&#x2013;<xref ref-type="fig" rid="F16">16</xref>. The mechanical response exhibits systematic dependence on wellbore orientation relative to <italic>in situ</italic> stress fields. In vertical wells (&#x3b2;<sub>b</sub> &#x3d; 0&#xb0;), coaxial alignment with the principal <italic>in situ</italic> stress orientation induces fracture propagation vectors parallel to the borehole axis through geomechanical coupling. At intermediate inclinations (&#x3b2;<sub>b</sub> &#x3d; 30&#xb0;,60&#xb0;), stress anisotropy intensification during tensile state transition triggers angular instability (&#x394;&#x3b8;&#x3e;30&#xb0;), forming characteristic J-curvature fractures through stress-dependent path selection mechanisms, as quantitatively verified in <xref ref-type="fig" rid="F10">Figure 10b</xref>. Conversely, horizontal wells (&#x3b2;<sub>b</sub> &#x3d; 90&#xb0;) demonstrate constrained trajectory deviation (&#x394;&#x3b8;&#x3c;10&#xb0;) under compressive-tensile stress tensor reconfiguration. This transitional regime produces hybrid fracture architectures blending feather-textured discontinuities with incipient hook-shaped geometries, reflecting progressive stress decoupling in high-angle completions.</p>
<p>The wellbore azimuth angle is 90&#xb0;, and the well deviation angles are 0&#xb0;, 30&#xb0;, 60&#xb0;, and 90&#xb0;. The principal stresses around the wellbore and the induced fracture orientations for these angles are depicted in <xref ref-type="fig" rid="F17">Figures 17</xref>&#x2013;<xref ref-type="fig" rid="F20">20</xref>. In stress-aligned well configurations, the borehole axis maintains strict parallelism with principal <italic>in situ</italic> stress orientations: vertical stress correspondence at &#x3b2;b &#x3d; 0&#xb0; (<xref ref-type="fig" rid="F17">Figures 17a,b</xref>) and maximum horizontal stress alignment at &#x3b2;<sub>b</sub> &#x3d; 90&#xb0; (<xref ref-type="fig" rid="F20">Figures 20a,b</xref>). This geometric optimization induces dual fracture initiation with perfect coaxial propagation through stress-controlled failure mechanisms. The resultant fracture planes exhibit diametric symmetry with exact 180&#xb0; phasing, forming textbook hydraulic fracture patterns through geomechanical resonance. When the well deviation angles are 30&#xb0; (<xref ref-type="fig" rid="F18">Figures 18a,b</xref>) and 60&#xb0; (<xref ref-type="fig" rid="F19">Figures 19a,b</xref>) , the minimum principal stress around the wellbore reaches its minimum value at the circumferential angles of 0&#xb0; and 180&#xb0;. When the minimum principal stress transitions to tensile stress, the angle between induced fractures and the wellbore axis is close to 0&#xb0; at the 0&#xb0; (<xref ref-type="fig" rid="F17">Figures 17a,b</xref>) and 180&#xb0; (<xref ref-type="fig" rid="F20">Figures 20a,b</xref>) positions, exhibiting minimal variation. As the circumferential angle increases, the variation becomes more significant, resulting in induced fracture orientations resembling sine curves, as predicted in <xref ref-type="fig" rid="F18">Figures 18b</xref>, <xref ref-type="fig" rid="F19">19b</xref>. This makes them easily mistaken for natural fractures.</p>
<p>When analyzing the induced fractures around the wellbore formed by different trajectories, it is evident that if the wellbore axis is parallel to any principal <italic>in situ</italic> stress direction, such that no shear stress is induced around the wellbore, the angle between the induced fractures and the wellbore axis will remain at 0&#xb0;. As a result, two symmetrically distributed fractures parallel to the wellbore axis are typically produced. When the variation in the angle between the induced fractures and the wellbore axis is within 10&#xb0;, feather-like fractures appear. Once this angular variation exceeds 10&#xb0;, &#x201c;J-shaped&#x201d; fractures are formed. Furthermore, when the angle between the induced fractures and the wellbore axis approaches 0&#xb0; at the minimum principal stress extremum around the wellbore and then changes sharply either increasing or decreasing, the fractures tend to follow an approximately sine-curve pattern. Moreover, the induced fractures usually occur in pairs symmetrically arranged at 180&#xb0; intervals.</p>
</sec>
<sec id="s3-2">
<title>3.2 The impact of bottomhole fluid column pressure</title>
<p>Bottomhole fluid column pressure is one of the most direct, effective, and controllable measures to maintain wellbore stability. It directly determines complex scenarios such as erosion or shear collapse of the wellbore wall and loss of drilling fluid. The authors studied the influence of bottomhole fluid column pressure on the development of drilling-induced fractures. The induced fracture orientations of a wellbore with azimuth angle &#x3b1;<sub>b</sub> &#x3d; 0&#xb0; and well deviation angle &#x3b2;<sub>b</sub> &#x3d; 30&#xb0; under different bottomhole pressures are illustrated in <xref ref-type="fig" rid="F21">Figure 21</xref>. Analysis indicates that feather-like fractures are consistently formed under various bottomhole pressures. As the bottomhole fluid column pressure rises, the angle between the drilling-induced fractures and the wellbore axis progressively diminishes, while the length of these induced fractures gradually increases. The induced fractures are symmetrically distributed within the wellbore, with a spacing of 180&#xb0; between them.</p>
<fig id="F21" position="float">
<label>FIGURE 21</label>
<caption>
<p>The orientation angle &#x3b1;<sub>b</sub> &#x3d; 0&#xb0;, inclination angle &#x3b2;<sub>b</sub> &#x3d; 30&#xb0;, and the orientation of induced fractures during directional drilling changes with the variation of bottom hole pressure.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g021.tif"/>
</fig>
<p>The variations in drilling-induced fracture orientations of a wellbore with azimuth angle &#x3b1;<sub>b</sub> &#x3d; 30&#xb0; and well deviation angle &#x3b2;<sub>b</sub> &#x3d; 30&#xb0; under different bottomhole pressures are depicted in <xref ref-type="fig" rid="F22">Figure 22</xref>. Analysis indicates that feather-like fractures are consistently formed under various bottomhole pressures. As the bottomhole fluid column pressure rises, the angle between the drilling-induced fractures and the wellbore axis progressively diminishes, while the length of these induced fractures gradually increases. The induced fractures are symmetrically distributed within the wellbore, with a spacing of 180&#xb0; between them.</p>
<fig id="F22" position="float">
<label>FIGURE 22</label>
<caption>
<p>The azimuth angle &#x3b1;<sub>b</sub> &#x3d; 30&#xb0;, inclination angle &#x3b2;<sub>b</sub> &#x3d; 30&#xb0;, and the orientation of induced fractures in the wellbore change with variations in bottom hole pressure.</p>
</caption>
<graphic xlink:href="feart-13-1519602-g022.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>4 Conclusion</title>
<p>The identification and classification research of drilling-induced fractures is of great significance for clarifying the mechanisms of wellbore instability and drilling fluid loss, analyzing imaging logging data, and reservoir evaluation. This study adopts a linear elastic per-wellbore stress model and combines it with the tensile failure criterion of the wellbore surrounding rock to establish a predictive model for the occurrence of drilling-induced fractures around the wellbore. The influence of different engineering parameters such as wellbore trajectories and bottomhole pressures on the distribution of principal stresses around the wellbore, the angle and occurrence of drilling-induced fractures relative to the wellbore axis has been investigated. The main conclusions of this study are as follows, Drilling-induced fractures result from the combined effects of <italic>in situ</italic> stresses and engineering disturbances. They have a close relationship with <italic>in situ</italic> stresses and typically occur in pairs symmetrically arranged at 180&#xb0; intervals. This organized arrangement provides a solid basis for identifying and classifying drilling-induced fractures, distinguishing them from natural fractures. When the wellbore axis is parallel to any principal <italic>in situ</italic> stress direction, with no shear stress induced around the wellbore, the angle between the drilling-induced fractures and the wellbore axis remains 0&#xb0;. Consequently, two symmetrically distributed fractures parallel to the wellbore axis are usually formed. Feather-like fractures occur when the variation in the angle between the drilling-induced fractures and the wellbore axis is within 10&#xb0;. When this variation exceeds 10&#xb0;, &#x201c;J-shaped&#x201d; fractures are formed. Fractures approximately follow a sine curve when the angle between the drilling-induced fractures and the wellbore axis approaches 0&#xb0; at the minimum principal stress extremum around the wellbore and then changes sharply either increasing or decreasing. With relatively low bottomhole pressure, feather-like drilling-induced fractures occur in the wellbore. As the pressure of the fluid column inside the well increases, the angle between the drilling-induced fractures and the wellbore axis gradually decreases, resulting in an increase in fracture length. Eventually, they transform into &#x201c;J-shaped&#x201d; fractures.</p>
<p>In reservoir evaluation, it is very important to more accurately and effectively identify effective fractures and distinguish and exclude the influence of drilling-induced fractures. Especially for unconventional reservoirs with strong heterogeneity, diverse types of storage spaces, and various fracture morphologies, the detection and identification of fractures are particularly difficult. Therefore, the correct identification of induced fractures is particularly important. The predictive model for the occurrence of drilling-induced fractures established in this paper can help reasonably and correctly interpret effective fractures in unconventional reservoirs and reservoir evaluation.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<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 sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>YL: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. JW: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. ZZ: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. ML: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. XZ: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. XG: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. MZ: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This paper is supported by the team construction project of the young innovative talents inducing and cultivating program of Shandong Province &#x201c;Research and Innovation Team of Complex Oil and Gas Well Drilling Engineering&#x201d; (Grant No. 2019035).</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>Author MZ was employed by Sinopec Research Institute of Petroleum Engineering Co., Ltd., China Petroleum and Chemical Corporation.</p>
<p>The remaining 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="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</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>
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</back>
</article>