Robust processing and imaging workflows purpose-built to address the complex onshore seismic data. By incorporating modern processing techniques, we deliver high-fidelity subsurface products to support data-driven decisions.

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MP-FWI: Extracting More from
Onshore Seismic Data

Multi-Parameter FWI jointly estimates velocity and reflectivity through a scale-separated inversion framework designed to reduce parameter crosstalk while improving geological resolution. Combined with TGS' Dynamic Matching objective function, the workflow leverages both refracted and reflected energy to improve model accuracy in challenging land environments. Application on onshore datasets yields enhanced geological detail and highlights the additional value that can be extracted from land seismic.

Before Image After Image
RTM w/ Initial Velocity
MP-FWI Reflectivity & Velocity
Before Image After Image
Refraction tomography
DM FWI

From Statics to Dynamics

Dynamic Matching FWI (DM FWI) can resolve a higher level of detail in shallow velocity models compared to traditional approaches such as reflection/refraction tomography. The advantages of a detailed model are evidenced by capturing shorter wavelength corrections, minimizing the need for residual statics.

Compressive Sensing Reconstruction

Compressive sensing (CS) aims to reconstruct high-quality seismic data from sparsely sampled datasets, often acquired with fewer sources and receivers than traditional methods. This approach is particularly valuable for reducing costs and improving efficiency of onshore seismic surveys.

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Time Slices: Input
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Time Slices: After Reconstruction
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Demultiple Toolkit

The nature of onshore complex geological settings requires a 3D demultiple solution, particularly as spatial effects magnify the complexity of the generated multiples. TGS offers a comprehensive 3D demultiple package that utilizes full azimuth contribution in its prediction and can attack multiples effectively in marine streamer, ocean bottom node (OBN), ocean bottom cable (OBC) and land surveys.

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