The Porosity Prediction of One of Iran South Oil Field Carbonate Reservoirs Using Support Vector Regression
- سال انتشار: 1392
- محل انتشار: فصلنامه علوم و فناوری نفت و گاز، دوره: 2، شماره: 3
- کد COI اختصاصی: JR_IJOGST-2-3_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 444
نویسندگان
Department of Petroleum Exploration Engineering, Petroleum University of Technology, Abadan, Iran
Department of Mining Engineering, Isfahan University of Technology, Isfahan, Iran
Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz, Iran
چکیده
Porosity is considered as an important petrophysical parameter in characterizing reservoirs,calculating in-situ oil reserves, and production evaluation. Nowadays, using intelligent techniques hasbecome a popular method for porosity estimation. Support vector machine (SVM) a new intelligentmethod with a great generalization potential of modeling non-linear relationships has been introducedfor both regression (support vector regression (SVR)) and classification (support vector classification(SVC)) problems. In the current study, to estimate the porosity of a carbonate reservoir in one of Iransouth oil fields from well log data, the SVR model is firstly constructed; then the performanceachieved is compared to that of an artificial neural network (ANN) model with a multilayerperceptron (MLP) architecture as a well-known method to account for the reliability of SVR or thepossible improvement made by SVR over ANN models. The results of this study show that byconsidering correlation coefficient and some statistical errors the performance of the SVR modelslightly improves the ANN porosity predictions.کلیدواژه ها
Petrophysical Parameter, Reservoirs, Porosity, Well Log Data, Support Vector Machineاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.