TGS Dynamic Matching Full Waveform Inversion (DM FWI) workflow is a versatile solution with a proven record on various survey geometries and geological settings. The increased physics in E-DMFWI represents the next step in subsurface imaging: it significantly improves the focusing of velocity interfaces with strong contrast, resulting in improved imaging underneath complex structures.

 

Dynamic Matching FWI - TGS-1

 

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E-DMFWI: Superior Results in Legacy and Modern Acquisition 

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.  

Improved Physics for a Trusted and Versatile Solution

Due to the elastic nature of the earth, Elastic Dynamic Matching FWI (E-DMFWI) has intrinsic advantages over the acoustic version, especially in geologically complex areas. The elastic wave equations can simulate both compressional (P waves) and shear waves (S waves), capturing more detailed information about the subsurface. TGS E-DMFWI algorithm achieves superior results in diverse complex geological settings and survey geometries, improving reservoir characterization and reducing exploration uncertainties.

DM FWI with Sparse OBN Acquisition

DM FWI is a data-driven algorithm using a smooth initial model with little detail. Long offset diving waves and reflections contribute to estimating a high-resolution model from shallow to the base of salt and subsalt. The FWI image obtained from the final FWI model provides an uplift in illumination compared to conventional imaging. 

TGS - Full Waveform Inversion - FWI - Sparse OBN Acquisition
Legacy Velocity
TGS - Full Waveform Inversion - FWI - Sparse OBN Acquisition (3)
DM FWI Velocity
TGS - Full Waveform Inversion - FWI - Sparse OBN Acquisition (2)
DM FWI FDR
TGS - Full Waveform Inversion - FWI - Shallow Water OBN Acquisition (2)
Depth-slice: Legacy Velocity
TGS - Full Waveform Inversion - FWI - Shallow Water OBN Acquisition (3)
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
TGS - Full Waveform Inversion - FWI - NAZ Streamer Data (4)
Depth-slice: DM FWI Velocity
TGS - Full Waveform Inversion - FWI - Land Acquisition-1
Cross-section: Stack + Initial Velocity
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Cross-section: Stack + DM FWI Velocity

DM FWI for Land Acquisition

Our DM FWI velocity model building workflow for land data uses both optimal transform and dynamic matching for high-quality results in the presence of noisy seismic records.