Produce detailed seismic reservoir characterizations by extracting rock properties from seismic data. Interpret multicomponent data to identify key geological markers in complex geologies such as gas shadow, fractured carbonates, and heavy oils. Correlate each component to well control and create a 3D model of the acoustic to sonic velocity ratio. And you can extend your analysis into the AVO domain by generating shear impedance and density volumes in addition to acoustic impedance.
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Uncover sub-seismic resolution that approaches the detail level seen in well logs. Stochastic inversion makes it possible to generate multiple predictions of fine detail within a reservoir, each honoring the known input information from well logs and seismic. Each is a plausible model of what the reservoir might look like. Analyze these plausible predictions to determine the most probable facies and quantify uncertainty associated with the predicted facies. Generate and present P10, P50 and P90 probabilities to exploration and development teams.
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Integrate disparate data and interpretations across all pertinent geoscience domains into highly detailed and predictive subsurface reservoir characterizations. Jointly invert for facies, engineering (reservoir) and elastic properties using 3D seismic, well logs, geostatistics and geological trends. Obtain more accurate estimates of uncertainties associated with data, models, and thin reservoirs by generating multiple, plausible realizations, and forecast future production accurately.
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Visualize the reservoir properties that matter to your well planning programs. Analyze native elastic properties from inversions to identify facies and estimate porosity, permeability and Poisson’s ratio. Calculate brittleness, quartz volumes and kerogen content for unconventional plays and tie to production data using a proven workflow.
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