Prediction of Oil Well Flowing Bottom-hole Pressure in Petroleum Fields

Medhat Awadalla*, Hassan Yousef, Ahmed Al-Hinai, Ali Al-Shidani

*المؤلف المقابل لهذا العمل

نتاج البحث

3 اقتباسات (Scopus)

ملخص

Installation of down-hole gauges in oil wells to determine Flowing Bottom-Hole Pressure is a dominant process especially in wells lifted with electrical submersible pumps. However intervening a well is occasionally an exhaustive task, associated with production risk, and interruption. The empirical correlations and mechanistic models failed to provide a satisfactory and reliable tool for estimating pressure drop in multiphase flowing wells. This paper proposes Feed- Forward Neural Network with back-propagation algorithm to predict the flowing bottom-hole pressure in vertical oil wells using real measured data from different oil fields. Intensive experiments have been conducted and the standard statistical analysis has been accomplished on the achieved results to validate the models' prediction accuracy. The obtained results show that the proposed artificial neural network is capable of estimating the Flowing Bottom-Hole Pressure with high accuracy.

اللغة الأصليةEnglish
عنوان منشور المضيف6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016
ناشرIEOM Society
الصفحات3007-3017
عدد الصفحات11
مستوى الصوت8-10 March 2016
رقم المعيار الدولي للكتب (المطبوع)9780985549749
حالة النشرPublished - 2016
الحدث6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016 - Kuala Lumpur
المدة: مارس ٨ ٢٠١٦مارس ١٠ ٢٠١٦

Other

Other6th International Conference on Industrial Engineering and Operations Management in Kuala Lumpur, IEOM 2016
الدولة/الإقليمMalaysia
المدينةKuala Lumpur
المدة٣/٨/١٦٣/١٠/١٦

ASJC Scopus subject areas

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