التفاصيل البيبلوغرافية
| العنوان: |
A Case Study for Evaluating Effective Geomechanical Parameters and the Influence of the Biot Coefficient on the Stability of a Wellbore Wall in the Asmari Formation using Machine Learning. |
| المؤلفون: |
Fahool, Farzad, Shirinabadi, Reza, Moarefvand, Parviz |
| المصدر: |
Trends in Sciences; Dec2023, Vol. 20 Issue 12, p1-17, 17p |
| مصطلحات موضوعية: |
MACHINE learning, ARTIFICIAL intelligence, FINITE element method, POROUS materials, VALUES (Ethics), DEEP learning |
| مصطلحات جغرافية: |
IRAN |
| مستخلص: |
In oil extraction projects, knowledge of reservoir geomechanics is essential for estimating the stability of wellbore walls drilled at great depths. In this regard, mechanics of porous media according to the definition of Biot's coefficient instead of Terzaghi effective stress can provide a more accurate estimate compared to other analyses. Additionally, using artificial intelligence and machine learning algorithms such as XGBoost and optimizing it with algorithms like Bayesian, along with using SHAP algorithm as an interpretable AI model, can provide us with deeper insights into available data. In this research, 1st geomechanical data of a well in Asmari formation in southwest Iran was obtained through well logs and operational reports and then analyzed by machine learning. Also, a 1-way coupled reservoir rock-fluid model was built to investigate the volume of fractured rock around the well. The interpretation of machine learning results helps us better understand the parameters affecting instability in this well's wall. Moreover, finite element model results indicate that assuming a value equal to 1 for Biot coefficient (or Terzaghi effective stress) leads to incorrect results and overestimates the volume of fractured rock around this well up to 13 times more than actual values. Therefore, any proper analysis regarding wellbore wall stability and evaluating effective stresses requires accurate knowledge about real and existing values of this coefficient due to simultaneous behavior of stress and pore pressure. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
