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Pseudo-well lithology columns using Markov chains
For each macro layer, statistics are defined for bed thickness and transitions to form the inversion prior. The proportion of each facies within each bed can be specified, and the generated ranges QC'd to ensure the inversion is searching the required model space.
ODiSI complements Rocks QI, fully integrated in Petrel
Results from Blueback Rocks QI, like rock physics models, fluid substitution, EEI angle analysis and color inversion can be used right away as input for Blueback ODiSI, along with any other relevant data that is available inside Petrel.
Invert in Petrel, optionally on a cluster or cloud
After defining all relevant parameters, inversion computation runs as a full multi-threaded process in Petrel. Optionally, the process can be staged to run on a cluster or in the cloud. Various outputs can be selected: reservoir properties like porosity or N/G, or lithofacies cubes, high/low case percentile cubes. Add lateral continuity with Telegony.
Powerful post inversion QC options available
Perform various post-inversion QC tasks. It allows to sort best-match pseudo wells (BMPW) and to create percentile volumes (P10, P90, etc.). When making 'cases', BMPWs are sorted witin each individual layer by NtG. It also allows to create maps from averaged inverted data between surfaces.
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, visualization of parameters, 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 macro-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. 1000s 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