Framework of fracture network modeling using conditioned data with sequential Gaussian simulation

The fracture characterization using a geostatistical tool with conditioning data is computationally efficient for subsurface flow and transport applications. main objective of the paper to propose framework methods model network. In method, we have chosen neighborhood area apply Gaussian Sequential Simulation in order generate network unknown region. angle was propagated from seed where guide direction. Poisson procedure used distribute initial seeds. method applied geological faults Central Kazakhstan field Scotland, UK. simulation results are compatible original modeling setting. From research that has been carried out, it possible conclude numerical valuable