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IMPROVING OH, RESERVOIRS DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS


MARIAN BADIN, CONSTANTIN POPA
UNIVERSITATEA "PETROL-GAZE" PLOIESTI

Issue:

MOCM, Number 7, Volume I

Section:

Issue No. 7 - Volume I (2001)

Abstract:

This paper presents a new assessment technique of EOR applicability methods with NN aid based on the existing petroleum industry experience in implementing EOR processes at different reservoir conditions. Assessment of success is based on applicability ranges of the main reservoir characteristics for different EOR methods. The trained NN enabled us fast evaluation of EOR methods applicability.

Keywords:

Enhanced Oil Recovery (EOR), Increased Oil Recovery (IOR), (Artificial) Neural Network (NN).

Code [ID]:

MOCM200107V01S01A0006 [0001143]


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