... with a proxy one have been shown. With the novel approach, the computational time has been reduced by three orders of magnitude with respect to a classic method. This is a breakthrough because it allows the matching and optimization procedures to be done on a daily basis, which results in having always tuned...

... A methodology to construct deep neural network- (DNN) and recurrent neural network- (RNN) based proxy flow models is presented; these can reduce computational time of the flow simulation runs in the routine reservoir engineering workflows, such as history matching or optimization. A comparison...

... gauss-newton method Habashy Artificial Intelligence compression approach Upstream Oil & Gas computational time inversion matrix full-waveform inversion source-receiver compression scheme geophysics Abubakar memory usage Reservoir Characterization eigenvalue iteration unknown...

... of flow transfers at the fracture scale; • applying the proper hypothesis to approximate the solutions; • being efficient enough in terms of computational time. Many methods can be used to estimate the equivalent permeability of a diffuse fracture network. We currently use a fast analytical...