این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Mining and Geo-Engineering، جلد ۵۵، شماره ۲، صفحات ۱۸۳-۱۹۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Improving the classification of facies quality in tight sands by petrophysical logs
چکیده انگلیسی مقاله As conventional hydrocarbon reserves are running out, attention is now being paid to unconventional hydrocarbon resources and reserves such as tight sands and hydrocarbon shales for future energy supplies. To achieve this, the identification of tight sand facies is based on zones containing mature hydrocarbons in priority. Organic geochemical methods are the commonest methods to evaluate the quality of these reservoirs. In this study, using a deep learning approach and using petrophysical logs, a suitable classification model for facies quality is presented. Moreover, the proposed method has been compared with two common methods: multilinear regression and multilayer perceptron neural network. The results indicated that the accuracy of facies classification using these three methods is about 63%, 71%, and 84% for linear multilinear regression, perceptron multilayer neural network and, deep learning, respectively. Finally, the accuracy of the deep learning networks was optimized using two gravitational search and whale optimization algorithms. It has been shown that the accuracy of deep learning was increased from 84% to 87% and 90.5% using the gravitational search algorithms and whale algorithms, respectively.
کلیدواژه‌های انگلیسی مقاله Facies quality, Deep learning, Optimization Algorithm, tight sands, Classification
نویسندگان مقاله Yousef Asgari Nezhad |
School of Mining, College of Engineering, University of Tehran, Tehran, Iran

Ali Moradzadeh |
School of Mining, College of Engineering, University of Tehran, Tehran, Iran

نشانی اینترنتی https://ijmge.ut.ac.ir/article_84227_64fa3485f610f4a4fba3f31801f04b67.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات