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Application of neural network in the identification of the cumulative production from ab unit in main pays reservoir of south rumaila oil field
المؤلفون المشاركون
al-Jawad, Muhammad Salih
Jreou, Ghazwan N. S.
المصدر
Iraqi Journal of Chemical and Petroleum Engineering
العدد
المجلد 10، العدد 2 (30 يونيو/حزيران 2009)، ص ص. 37-46، 10ص.
الناشر
تاريخ النشر
2009-06-30
دولة النشر
العراق
عدد الصفحات
10
التخصصات الرئيسية
الموضوعات
الملخص EN
A common field development task is the object of the present research by specifying the best location of new horizontal re-entry wells within AB unit of South Rumania Oil Field.
One of the key parameters in the success of a new well is the well location in the reservoir, especially when there are several wells are planned to be drilled from the existing wells.
This paper demonstrates an application of neural network with reservoir simulation technique as decision tool.
A fully trained predictive artificial feed forward neural network (FFNNW) with efficient selection of horizontal re-entry wells location in AB unit has been carried out with maintaining a reasonable accuracy.
Sets of available input data were collected from the exploited grids and used in the training and testing of the used network.
A comparison between the calculated and observed cumulative oil production has been carried out through the testing steps of the constructed ANN, an absolute average percentage error of the used network was reached to 4.044%, and this is consider to be an acceptable limit within engineering applications, in addition to that, a good behavior was reached with (FFNNW) and suitable re-entry wells location were identified according to the reservoir configuration (pressure and saturation distribution) output from SRF simulation model at the end of 2005.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Jawad, Muhammad Salih& Jreou, Ghazwan N. S.. 2009. Application of neural network in the identification of the cumulative production from ab unit in main pays reservoir of south rumaila oil field. Iraqi Journal of Chemical and Petroleum Engineering،Vol. 10, no. 2, pp.37-46.
https://search.emarefa.net/detail/BIM-262125
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Jawad, Muhammad Salih& Jreou, Ghazwan N. S.. Application of neural network in the identification of the cumulative production from ab unit in main pays reservoir of south rumaila oil field. Iraqi Journal of Chemical and Petroleum Engineering Vol. 10 (Jun. 2009), pp.37-46.
https://search.emarefa.net/detail/BIM-262125
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Jawad, Muhammad Salih& Jreou, Ghazwan N. S.. Application of neural network in the identification of the cumulative production from ab unit in main pays reservoir of south rumaila oil field. Iraqi Journal of Chemical and Petroleum Engineering. 2009. Vol. 10, no. 2, pp.37-46.
https://search.emarefa.net/detail/BIM-262125
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 41-42
رقم السجل
BIM-262125
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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