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<p>Geomechanical modeling forms the foundation for understanding subsurface behavior and is a critical step in reservoir modeling, design, and optimization. The selection of appropriate empirical relations to estimate mechanical, strength, stress, and pore pressure parameters, along with failure criteria, remains a subject of debate among researchers. This study proposes a systematic geomechanical modeling workflow based on case studies of the Kangan and Dalan formations, log data, well tests, and core plug data analysis. Statistical analysis of laboratory results was employed identify optimal empirical equations for estimating mechanical and strength parameters, including static Young’s modulus, uniaxial compressive strength, and friction angle. The estimated pore pressure was also examined based on Modular Formation Dynamics Tester (MDT) results. The appropriate failure criterion was selected based on the accuracy of the theoretical model compared to the wellbore failures and its correlation with the failure width in the well. Estimating the stress based solely on the shear instabilities that occurred is not feasible, and therefore, the results of the Leak-off test (LOT) were utilized to determine the final stress. The theoretical analysis using the final geomechanical model matches 76% of the 300-m interval, including 79% of stable and 74% of unstable points. A sensitivity analysis was conducted to select the appropriate mud weight considering the well’s azimuth and inclination. Additionally, sensitivity analysis was performed to evaluate the impact of geomechanical parameters on the accuracy of the theoretical model.</p>

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Proposing an approach for geomechanical model construction based on laboratory and wellbore test results and wellbore instability assessment in the Kangan and Dalan formations

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月3日

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  • Mohamadali Chamanzad,
  • Majid Nikkhah,
  • Ahmad Ramezanzadeh,
  • Xian Shi,
  • Misha Pezeshki,
  • Imandokht Mostafavi

摘要

Geomechanical modeling forms the foundation for understanding subsurface behavior and is a critical step in reservoir modeling, design, and optimization. The selection of appropriate empirical relations to estimate mechanical, strength, stress, and pore pressure parameters, along with failure criteria, remains a subject of debate among researchers. This study proposes a systematic geomechanical modeling workflow based on case studies of the Kangan and Dalan formations, log data, well tests, and core plug data analysis. Statistical analysis of laboratory results was employed identify optimal empirical equations for estimating mechanical and strength parameters, including static Young’s modulus, uniaxial compressive strength, and friction angle. The estimated pore pressure was also examined based on Modular Formation Dynamics Tester (MDT) results. The appropriate failure criterion was selected based on the accuracy of the theoretical model compared to the wellbore failures and its correlation with the failure width in the well. Estimating the stress based solely on the shear instabilities that occurred is not feasible, and therefore, the results of the Leak-off test (LOT) were utilized to determine the final stress. The theoretical analysis using the final geomechanical model matches 76% of the 300-m interval, including 79% of stable and 74% of unstable points. A sensitivity analysis was conducted to select the appropriate mud weight considering the well’s azimuth and inclination. Additionally, sensitivity analysis was performed to evaluate the impact of geomechanical parameters on the accuracy of the theoretical model.