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Technical Content

Industry Article

Geothermal Energy: A new frontier for energy – and petroleum geoscientists

Geo Expro | Ellie Macinnes ©2021 GeoPublishing Ltd

While the subsurface geoscience skills required for geothermal exploration and development differ from those required for oil and gas, there are existing skills and technologies that are highly transferable. Moreover, as the shift for geothermal resources moves away from high-enthalpy areas and towards sedimentary ...

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Brochure

GeoVerse Overview

GeoVerse is CGG’s flagship geological multi-client database. Through a combination of advanced data organization and machine-learning processes, GeoVerse enables a step-change in data analytics and data interrogation.

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Industry Article

Full-waveform inversion for full-wavefield imaging: Decades in the making

The Leading Edge Journal | Rongxin Huang, Zhigang Zhang, Zedong Wu, Zhiyuan Wei, Jiawei Mei, and Ping Wang © 2021 SEG

Seismic imaging using full-wavefield data that includes primary reflections, transmitted waves, and their multiples, has been the holy grail for generations of geophysicists. To be able to use the full-wavefield data effectively requires a forward modeling process to generate full-wavefield data, an inversion scheme ...

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Industry Article

Emerging plays and alternative petroleum systems in Mozambique revealed by multidisciplinary data integration

First Break | Rachael Harrison, Max Norman, Javier Martin, and Nicholas Rudd © 2020 EAGE

Data from all sources, at all scales, has helped to assess petroleum potential offshore Mozambique beyond the relatively small play fairway proven to date. New insights into proven and potential reservoirs, plus improved predictions of the presence, type and maturity of source rocks, have ...

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Malaysian Seep Data

Screen license round opportunities using trusted insight into the location and characteristics of natural seepage, indicative of active petroleum systems, with CGG’s focused Malaysian data packages, available for all 13 of the 2021 bid round acreages.

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Industry Article

More Reliable Production Forecasting

Oilfield Technology | David Riffault, Toni Uwaga, Pablo Cifuentes, Adnan Khalid, and Remi Moyen © 2021

A new, proprietary technique that improves production forecasts has been demonstrated on an Asian gas field. Multi-scale ensemble-based history matching (MS-EnOpt) improves production forecasting and reserve estimation, and provides engineers with an understanding of key reservoir uncertainties.

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