کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9826509 | 1522904 | 2005 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
AI applied to evaluate waterflood response, gas behind pipe, and imbibition stimulation treatments
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
زمین شناسی اقتصادی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
The neural network architectures were designed using a trial-and-error technique. Initially, a constructive design was employed by adding complexity to the architecture in terms of increasing the number of input variables as well as the number of hidden layers and nodes. A technique based on conventional statistical parameters was developed to numerically describe the patterns observed in log crossplots. These numerical descriptions were then prioritized and used as neural network inputs to be correlated with known production response.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Petroleum Science and Engineering - Volume 49, Issues 3â4, 15 December 2005, Pages 110-121
Journal: Journal of Petroleum Science and Engineering - Volume 49, Issues 3â4, 15 December 2005, Pages 110-121
نویسندگان
William W. “Bill” Weiss, Jason W. Weiss, Visveswaran “Vishu” Subramaniam, Xina Xie,