Our Insights

TGS is uniquely positioned to leverage expertise in the collection, curation, and extraction of insights from big data to empower the best business decisions. Our insights are designed to reduce risks and enable a more detailed understanding of resource investments. Across the energy spectrum, we have the data you need - from oil and gas exploration to the siting and development of carbon storage facilities and sustainable energy projects.

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    Regional License Round Evaluation with 2D-cubed


    A step-change in the use of traditional 2D data; TGS has developed a methodology called 'structurally conformable interpolation’, also known as 2Dcubed. The workflow includes survey-matching of different vintages; data-driven geological model-building to interpolate large distances between existing data, and a 3D post-stack migration to minimize 2D migration artefacts. 2Dcubed provides a fantastic tool for preliminary block appraisal.

    Contact our teams for more information.

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  • MSGBC multibeam

    Revealing Africa's Most Successful New Plays


    Jaan  is a 3D seismic project that weaves its way across Senegal, Gambia and Guinea-Bissau territories over the Cretaceous Palaeo Shelf-Edge Trend (PSET), the setting for the FAN and SNE discoveries;- Africa's most successful play of recent times.

    Since 2014, two thirds of all the oil and gas discovered offshore Africa has been found in the basins of North West Africa; over 8 Billion BOE in total. This really demonstrates the significance of the province in a global context.

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    Transforming Velocity Models in Mature Basins


    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.

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