Engagement 

The Next Phase of Ultra-long Offset FWI Node Projects in U.S. Gulf of Mexico

Following the highly successful Amendment Phase 1 project acquired in Mississippi Canyon in 2019, TGS, in strategic collaboration with Schlumberger, has commenced the second phase of the ultra-long offset node project in the U.S. Gulf of Mexico. The next phase, "Engagement," will extend the footprint of ultra-long data in the Northern Green Canyon protraction area.

This area is characterized by complex geology and multiple salt bodies, driving industry towards a new approach to illuminate the subsurface structures. The combination of ocean bottom node data, used to record ultra-long offsets and full waveform inversion, is expected to deliver a significant uplift to the velocity model which in turn will be used to amend the existing WAZ and Coil data in the area.

Engagement Fan 3D Social Media Release

Acquisition of the project is expected to complete in September 2020 with final data available in 2021. The Amendment and Engagement projects represent a new generation of survey design, with significant areas in the Gulf of Mexico and elsewhere that will benefit.

The next generation of exploration data is here!

Amendment Example: BEFORE DM FWI Amendment Example: AFTER DM FWI

Amendment Phase 1 FWI before and after application of Dynamic-Matching FWI

TGS has recently delivered very exciting fast track results from Amendment Phase 1 utilizing our proprietary Dynamic-Matching FWI technology. 

In the images above, the starting model shows velocity model from legacy dual WAZ dataset (Fusion M-WAZ). The second model shows the fast track DM-FWI derived update. The improved velocity model highlights salt feeders and stock, steeply dipping beds and a more continuous Louann level base of salt.

What is Dynamic Matching FWI?

Dynamic Matching Full Wave Inversion (DM FWI) is a technology that uses seismic reflection and refraction information to automatically update the velocity model. The Dynamic Matching feature is the TGS technique that overcomes many of the limitations of standard FWI like cycle skipping.

Dynamic Matching FWI allows for superior, geologically coherent velocity models, improved subsurface analysis and reduced uncertainty. It will enable reduced cycle times, cost reduction and significant de-risking in complex imaging areas.

Jian Mao - Dynamic Matching Full Waveform Inversion-720.mp4
Senior Researcher Jian Mao presents the advanced Dynamic Matching Full Waveform Inversion (DM FWI) algorithm and its applications on field datasets

 

 

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