Seismic Inversion Processes and Rock Physics Analysis
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Description of Service
Quantitative GeoSolutions uses comprehensive solution schemes in the execution of quantitative surveys that link geophysical and well data from various scales and domains.
These links, in addition to their physical and mathematical nature, are also of relationships between processes of DIRECT and INVERSE direction through rock fisca, which serves as a bridge between seismic and the properties of deposits in the most complex sense of interaction and analysis systems.
The general process on which the methods of seismic characterization by inversion and rock physics modeling are based is shown schematically in the following image.
In general, by having seismic data from the converted PS mode of good quality, the PP-PS joint simultaneous seismic inversion allows to generate shear impedance and density results with higher quality than those obtained by the purely PP mode inversion.
In azimuth inversion, amplitude variations are used as a function of azimuth. It is widely recognized that, in fracture-affected rocks, the azimuth variation of properties is remarkable and measurable. In general, fractures induce anisotropy. Depending on the way they affect the rocks, it is possible to condition various anisotropic arrangements of high or low symmetry.
Azimuth seismic inversion allows the identification of areas with strong or weak anisotropic behavior induced by fractures. Quantitative GeoSolutions manages to define these scenarios by doing a combined analysis of the attributes of the azimuth inversion. These results are extremely useful in the process of identifying areas with high or low hydraulic connectivity, stress directions, and the main flow directions.
What You Will Get From Purchasing This Professional Service. Deliverables
Seismic Inversion Processes and Rock Physics Analysis
Duration To Complete Service. How Long Before Service Is Completed
1-8 weeks
Quantitative Geosolutions offers plausible and effective solutions to complex problems in geosciences, based on novel analysis and prediction techniques with deterministic, probabilistic, and artificial intelligence approaches, which allow revealing details in the microstructural characteristics that define the storage capacity and fluid content in rocks, at various study scales. Our results allow us to generate a measurable impact on the optimization of exploration and production plans of the deposits.
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