Prediction of Bottom-Hole Flowing Pressure using general regression neural network

• Main Authors: Memon, P.Q., Yong, S.-P., Pao, W., Seanl, P.J.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2014
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938794886&doi=10.1109%2fICCOINS.2014.6868849&partnerID=40&md5=00cb0ecb85a2b456650b914e2f58c972; http://eprints.utp.edu.my/31205/

This paper presents the application of Surrogate Reservoir Model (SRM) for predicting the Bottom-Hole Flowing Pressure (BHFP) on an initially undersaturated reservoir. SRM is recently introduce technology that is used to replicates the results of numerical simulation model. High computational cost a...