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What is Neural Network for Reservoir Characterization about?

This document discusses using neural networks to characterize reservoirs based on hydraulic flow units. It proposes predicting global hydraulic elements from core-log integration to more precisely calculate net pay. Case studies from low resistivity reservoirs in Vietnam illustrate defining net pay zones based on hydraulic flow units, which provides advantages over conventional methods. Neural networks can effectively integrate geological and petrophysical data to characterize reservoirs.

Author

jhon berez223344

Language

EN