Oil Reservoir Properties Estimation Using Neural Networks
نویسنده
چکیده
This paper investigates the applicability as wel{ as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data, Our approach relies on JPL’s adjoint operators general purpose neural network code to determine the best suited architecture, We believe that results presented l; this work demonstrate that artificial neural networks produce surprisingly accurate estimates of the reservoir parameters. )
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