Dynamic Matching Full Waveform Inversion (DM FWI)  produces high-resolution velocity models that incorporate the full seismic signal (diving waves and reflections) with a proven record with sparse OBN, shallow water OBN, streamer and land surveys, in various geological settings.

 

Dynamic Matching FWI - TGS-1

 

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E-DMFWI: Superior Physics for Challenging Exploration 

Dynamic Matching FWI (DM FWI) has become the key algorithm in modern workflows to derive high-resolution velocity models. Benefiting from superior wavefield propagation physics in geologically complex areas, Elastic Dynamic Matching FWI (E-DMFWI) can produce accurate velocity models with greatly improved resolution compared to acoustic algorithms.

Integrated DM FWI and Potential Methods

TGS' DM FWI workflow supports integration with multi-disciplinary approaches to resolve complex imaging challenges. The Niger Delta case study highlights the importance of integrated solutions and how data-driven methods, such as DM FWI, can be combined with geological interpretation and modelling of potential fields.

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Depth Slice: Initial Velocity
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Depth Slice: DM FWI Velocity
TGS - Full Waveform Inversion - FWI - Shallow Water OBN Acquisition (2)
Depth-slice: Legacy Velocity
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Depth-slice: DM FWI Velocity
TGS - Full Waveform Inversion - FWI - Shallow Water OBN Acquisition
Cross-section: Stack + Legacy Velocity
TGS - Full Waveform Inversion - FWI -Shallow Water OBN Acquisition
Cross-section: Stack + DM FWI Velocity

DM FWI for Shallow Water OBN Acquisition

Complex shallow overburden successfully modeled to a high resolution using long offset diving wave and reflection data. Injectites of variable velocity resolved to remove complexity and uncertainty from the underlying stratigraphy. 

DM FWI for NAZ Acquisition

DM FWI keys on reflection travel time differences to resolve low and high wavenumber details in the velocity model. A velocity slice shows lithology variations unseen with tomography updates in the initial model.

TGS - Full Waveform Inversion - FWI - NAZ Streamer Data
Cross-section: Stack + Legacy Velocity
TGS - Full Waveform Inversion - FWI - NAZ Streamer Data (2)
Cross-section: Stack + DM FWI Velocity
TGS - Full Waveform Inversion - FWI - NAZ Streamer Data (3)
Depth-slice: Legacy Velocity
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Depth-slice: DM FWI Velocity
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Cross-section: Stack + Initial Velocity
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Cross-section: Stack + DM FWI Velocity

DM FWI for Land Acquisition

DM FWI model building workflows for land data incorporates diving waves and emphasize kinematic differences over amplitude mismatches. This methodology yields high-resolution velocity models, capturing short wavelength corrections traditionally addressed by residual statics.

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