AI/machine learning

Artificial Neural Network Models and Predicts Reservoir Parameters

In the complete paper, the authors generate a model by using an artificial-neural-network (ANN) technique to predict both capillary pressure and relative permeability from resistivity.

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Capillary pressure and relative permeability are essential measurements that affect multiphase fluid flow in porous media directly. The processes of measuring these parameters, however, are both time-consuming and expensive. Artificial-intelligence methods have achieved promising results in modeling extremely complicated phenomena in the industry. In the complete paper, the authors generate a model by using an artificial-neural-network (ANN) technique to predict both capillary pressure and relative permeability from resistivity.

Capillary Pressure and Resistivity

Capillary pressure and resistivity are two of the most significant parameters governing fluid flow in oil and gas reservoirs.

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