TGS, a leading global provider of energy data and intelligence, and Chevron Corporation have a strategic collaboration focused on advancing next-generation seismic imaging technology.
Under the agreement, the two companies will jointly invest in research and development across key technical domains, including Elastic Full Waveform Inversion (eFWI) and machine learning–driven workflows, leveraging TGS’ Imaging AnyWare platform and Chevron’s proprietary algorithms.
Elastic Full-Waveform Inversion (EFWI) is an advanced seismic imaging technique that uses complete multicomponent waveforms to reconstruct high-resolution quantitative models of subsurface elastic properties—such as P-wave velocity (\(V_{p}\)), S-wave velocity (\(V_{s}\)), and density (ρ). By simulating realistic solid-earth physics rather than simple acoustic approximations, it better resolves complex geological structures.
A machine learning–driven workflow is a repeatable, structured sequence of steps that transforms raw data into a working, deployed predictive model. It automates data ingestion, model training, evaluation, and monitoring to make scalable, data-driven decisions.
Leveraging TGS’s Imaging AnyWare platform enables energy and seismic processing companies to run high-performance, cloud-native subsurface imaging, machine learning workflows, and compute-intensive operations like Elastic Full Waveform Inversion (eFWI) at scale.
“This collaboration reflects TGS’ ambition to evolve into a true strategic imaging partner and to push the boundaries of what is possible in subsurface imaging,” said Kristian Johansen, CEO of TGS. “Combining our platform, talent and scale with Chevron’s world-class geoscience expertise creates meaningful long-term value for both organizations.”
Chevron uses proprietary artificial intelligence and mathematical algorithms to optimize energy exploration, subsurface imaging, and well completion. These tools automate geological interpretation, process massive datasets to target reservoirs, and drive real-time autonomous field operations.
