Predict the Tensile Strength of Artificially Cemented Sandstones based on their Physical Properties
سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 306
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شناسه ملی سند علمی:
NPGC04_046
تاریخ نمایه سازی: 16 اسفند 1401
چکیده مقاله:
Hydrocarbon reservoirs are located under the earth’s surface, from shallow reservoirs to deep reservoirs. Physical and mechanical properties of reservoir rocks are very important in development plans of reservoirs and coring from the reservoir rock is the best way to take these properties directly. But, technical and economic restrictions prevent from having the intact cores. In addition, it is very difficult to coring from all intervals along the reservoir walls. So, indirect methods such as well logging, measurement while drilling, experimental and theoretical methods are considered to obtain the rock properties from deep. Tensile strength is one of the most important resistance parameters which is involved in many studies. Especially when induced fractures in oil and gas wells are considered it plays an urgent role. In present study, tensile strength has been modeled based on physical properties of artificially cemented sandstones such as density, porosity, compressional wave velocity and shear wave velocity. The values of tensile strength in any prepared artificially samples have been obtained from indirect tensile Brazilian test, then it was predicted by compressional wave velocity (V(p)) model and linear multi variable model (LMVM). It has been determined that tensile strength has a good relationship with physical properties. The average of absolute percent relative error for validation data is ۱۴.۳ and ۱۹.۶ percent and the coefficient of determination (R(۲)) is ۰.۸۹ and ۰.۷۵ for LMVM and V(p) model respectively.
کلیدواژه ها:
نویسندگان
Vahid Zaboli Zadeh Sisakht
PhD Student, Amirkabir University of Technology | Department of Mining Engineering
Hamed Molladavoodi
Associate professor, Amirkabir University of Technology | Department of Mining Engineering
Mojtaba Moheb Houri
Laboratory expert, Amirkabir University of Technology | Department of Mining Engineering