Conditional Simulation of the Wilmington Sand-Shale Sequence, Los Angeles Basinby J. Jaime Gómez-Hernández, Stanford Univ, United States,
André G. Journel, Stanford Univ, United States,
Abstract: In shaly clastic reservoirs at a scale where vertical cross flow cannot be ignored the main source of heterogeneity is the apparent random geometry of the sand-shale sequence. That geometry can be characterized by a binary indicator random function and its covariance. Sequential indicator simulation (SIS) allows generating equiprobable 3-dimensional images of the sand-shale sequence conditional to prior indicator data and the prior indicator covariance model. Observed differences between these alternative images provide an assessment of spatial uncertainty and help locating target areas for additional data.
Subject Headings: Soil properties | Basins | Imaging techniques | Geometrics | Data processing | Reservoirs | Soil analysis | Uncertainty principles | Flow simulation | Crossflow | North America | United States | Delaware | Wilmington | California | Los Angeles
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