Geostatistical inversion for 3D confidence evaluation of facies prediction: A Gulf of Guinea example
SEG Technical Program Expanded Abstracts
Total E and P, France; Total Upstream Nigeria Limited, Nigeria; CGG Veritas, France
We use lithoseismic classification on geostatistical inverted seismic data to access multiple realizations of lithofacies attribute cubes. We study the variability of predicted lithofacies values to compute in 3D a confidence attribute cube. This confidence cube helps the interpreter to evaluate the robustness of a predicted lithofacies value at any point for further reservoir model building. As a result, a case study on a Gulf of Guinea dataset led to a probabilistic characterization of the connectivity between producing intervals. © 2011 Society of Exploration Geophysicists.