Prediction of Bottom-Hole Flowing Pressure using general regression neural network
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...
| Main Authors: | Memon, P.Q., Yong, S.-P., Pao, W., Seanl, P.J. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31205 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| 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/ |
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