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Robust and accurate estimation of properties
Method matches large numbers of pseudo-wells to seismic impedance volumes, trace-by-trace. Pseudo-wells, defined as stochastic simulations of 1D stratigraphic profiles containing physical properties, are sampled from a prior distribution based on a RP and geological model describing the vertical stats and lithofacies proportions. The best matches provide estimates of properties and uncertainties.
Comprehensive, workflow driven GUI
A logically and comprehensive interface supports the user defining all necessary parameters step by step. Continuous controls clearly inform the user about missing parameters or data. Different scenarios can be built and saved to run independent inversion cases.
Interactive control and visualization of parameters and data
Visualize and QC all relevant parameters and data while defining the optimum settings to build lithofacies columns. From these, petrophysical and elastic curves are derived for each micro-layer using a well-calibrated rock physics model.
Robust stochastic method close to geological constraints
For trace matching to impedance volumes, EEI synthetics are computed from the pseudo-well Vp, Vs and rho logs using the EEI formula and then filtered to seismic bandwidth. 1000's of realizations are computed for each seismic trace to optimally align pseudo-wells to the EEI synthetics with seismic traces. A set of best-match pseudo-wells is composited with the lowest RMSE values.
Generate pseudo-well lithology columns using Markov chains
For each macro layer, min and max thicknesses, 'lambda' values and the total proportions of each facies need to be defined. These are used to model bed thicknesses. The lambda value for each lithology is found by fitting regression lines to a Cumulative Density Function. The CDF and the lambda values are displayed on the QC plots to the right of the tables.
ODiSI complements Rocks QI and is fully integrated in Petrel
Results from Blueback Rocks QI, like rock physics model, fluid substitution, EEI angle analysis, Color Inversion can be used right away as input for Blueback ODiSI, as well as any other relevant data that is available inside Petrel.
Computing intense stochastic inversion, fully multi-threaded
After defining all relevant parameters, inversion computation runs as a full multi-threaded process in Petrel. Various outputs can be selected, reservoir properties like porosity or N/G, or lithofacies cubes, probability cubes with color strength color-coding to show the best 'likelihood'. Example shows a display of ODiSI Phi and N/G volumes as voxel volumes.