4D Inversion for PRM
Our ResOP workflow is ideal for quantitative interpretation of 4D data to image and identify changes in the reservoir due to production and injection. By comparing the seismic response between consecutive 3D surveys one can translate variances into pore pressure and saturation changes throughout the reservoir.
Statistical rock physics models are used to generate probabilistic priors in a Bayesian 4D inversion scheme. Using these, it is possible to make direct estimations of saturation and pore-pressure variation in depth, with their associated uncertainties, making it ideal for updating the reservoir simulation model.