The Role of Rock Type in Prediction of Fracture Conductivity
محل انتشار: کنفرانس بین المللی علوم و مهندسی
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 736
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شناسه ملی سند علمی:
ICESCON01_0538
تاریخ نمایه سازی: 25 بهمن 1394
چکیده مقاله:
Acid fracturing is a classical treatment used in carbonate formations to improve well productivity. Acid fracture conductivity is an important parameter for designing a fracture job. A model of acid fracturing conductivity must accurately anticipate fracture conductivity versus closure stress. The fracture conductivity is substantially influenced by rock type. A serious challenge of recent studies has been to predict behavior of different formations under various closure stresses. In this study an artificial neural network model was developed to precisely predict fracture conductivity by incorporating experimental data from various formations, whereby resulting in a good match between model predictions and experimental data. The effects of rock type was investigated on fracture conductivity, and show that different formations have different responses under various closure stresses. There is an optimum point at which maximum fracture conductivity is achieved, but finding this point is difficult because it is distinct for different formations.
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نویسندگان
M.R Akbari
Faculty of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran
M.J. Ameri
Faculty of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran
M.H. Ghazanfari
School of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran
Y. Motamedi
Faculty of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran