Generate rock property volumes and maps from your seismic data. Characterize your reservoir using pre-stack and full-stack analysis, and deterministic and geostatistical inversion. Predict property distributions using neural networks or numerical models with confidence ratings. Pick the technique most suited to your geological setting and analytical objective. Extend into the AVO domain to obtain anisotropy magnitude and orientation for analysis of gas shadows, fractured carbonates and heavy oils. Our software is tuned for performance in even the most compute-intensive steps of the inversion workflow.
GeoSoftware's comprehensive portfolio covers the entire Seismic Reservoir Characterization workflow. Our solutions are categorized into the four techniques described in the tabs below. Select the inversion methods for your particular analysis, based on project workflow, budget, and scope of work.
Extract rock properties from seismic data using seismic inversion for pre-stack or full-stack analysis. Use our software to produce detailed models of reservoir character. Extend your analysis into the AVO domain by generating shear impedance and density volumes in addition to acoustic impedance. Produce a set of these volumes for each azimuth to obtain anisotropy magnitude and orientation. Predict attributes and classify facies from these elastic attribute volumes. Interpret multicomponent data to identify key geologic 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.
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 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.
Integrate disparate data and interpretations across all pertinent geoscience domains into highly detailed and predictive sub-surface reservoir characterizations. Jointly invert for facies, engineering (reservoir) and elastic properties using 3D seismic, well logs, geostatistics and geological trends. Directly invert for engineering properties in depth for easier communication and sharing with all disciplines. Obtain more accurate estimates of uncertainties associated with data, models, and thin reservoirs by generating multiple, plausible realizations. All realizations match the wells and remain accurate away from well control and reveal geologically plausible shapes. Use Bayesian inference and customized Markov Chain Monte Carlo algorithm. Rank realizations using flexible cutoff criteria and highly configurable volume extent to select P10, P50 and P90 models. Reliably quantify and reduce risk. Match geological interpretations and production history. Forecast future production accurately.
Visualize 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. Account for both seismic band and low frequency effects that change over time. Image and interpret anisotropy due to fractures and stress by measuring azimuth-dependent travel times and amplitudes or performing comprehensive anisotropic inversion.
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