Our simultaneous data-driven inversion delivers superior velocity model and angle-dependent reflectivity directly from raw seismic data, for faster, more accurate and comprehensive earth models.

 

 

 

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MP-EFWI
Field data example: offshore Brazil

MP-EFWI: Beyond Structural Imaging

Extending Multi-Parameter FWI from acoustic to elastic formulation enables estimation of critical parameters for quantitative reservoir characterization. MP-EFWI enables the recovery of information beyond what is typically achieved with conventional linearized AVO analysis, especially in areas with limited well control. The approach overcomes several assumptions commonly used in AVO workflows, allowing for more consistent interpretation in structurally complex settings.

Accurate Earth Properties

TGS offers simultaneous Full Waveform Inversion (FWI) velocity model estimation and reflectivity model updates through an extended implementation of the FWI framework. This is the equivalent of performing FWI and Least-Squares Reverse Time Migration (LS-RTM) in a single workflow. It delivers an accurate velocity model and reliable earth properties from field data, in an accelerated timeframe.

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MP-FWI Velocity
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MP-FWI Relative Impedance
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MP-FWI Relative Density
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RTM with initial Velocity Model
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MP-FWI Velocity Model and Reflectivity

MP-FWI for Land Acquisition

MP-FWI successfully estimates reliable earth properties in land seismic settings. By incorporating the dynamic matching objective function in its formulation, the workflow improves low-frequency velocity updates in noisy land data and strengthens multiparameter inversion. The result is higher spatial resolution, improved image continuity and overall superior imaging performance compared with conventional imaging approaches.

MP-FWI for Reservoir-Focused Imaging

Conventional imaging suffers from sub-optimal focusing and shadow effects close to geologically complex areas (regional faults), as observed in this Norwegian Sea data example. The multi-parameter inversion refines the velocity model, improving the focusing, and heals the fault shadow zone through the least-squares migration process. Additional QI products like relative impedance and density can be directly derived from the two de-coupled and simultaneously inverted models.

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MP-FWI for AVA / AVO Properties

Rock property estimations rely on accurate seismic amplitudes, AVA / AVO response and velocities. The Multi-Parameter FWI inversion process has been extended to the pre-stack domain to accommodate these requirements. Angle dependent reflectivity gathers can be leveraged for precise elastic rock property estimations, valuable in QI workflows.

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