Using Artificial Neural Networks in Reservoir Characterization
Zhazar Toktabolat
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Using Artificial Neural Networks in Reservoir Characterization

Characterization of Dual Porosity Gas Reservoirs with Faults Using Artificial Neural Networks

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The framework of this study is to convert observed measurements of reservoir data into characteristic information of the reservoir. Artificial neural network (ANN) technology is utilized in mapping/interpolating the non-linear complex relationship between observed measurements and reservoir characteristics. The proposed ANN methodology is applied towards analysing the pressure transient measurements collected from isotropic and anisotropic faulted dual-porosity gas reservoirs, as an inverse solution to formation characteristics, such as the permeability and porosity of the fracture and matrix ...