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Yinggehai basin is one of the most important basins of the South China Sea for its mega gas reservoirs and exploration potential. Vintage seismic data generally suffers severely from complex structures, including diapir formed by thermal fluids, strong shallow gas fields, and complex faulting systems. The diapiric structures in particular, commonly present in the region, and have long been an ‘unseen Elephant’, causing much uncertainty in geological interpretation. Reprocessing vintage streamer data has not been sufficient to overcome these imaging challenges so a new OBN dataset was acquired, and the latest processing technologies applied, including visco-acoustic Time-lag FWI (TLFWI), Dynamic Resolution TLFWI (DR-TLFWI), and Diffraction Imaging. With the combined uplifts, the diapir structure is much better imaged, significantly impacting the geological interpretation within this basin.

Ten years ago, CGG launched a project to develop a new concept of marine vibrator (MV) technology. We present our work, concluding with the successful acquisition of a seismic image using an ocean-bottom-node 2D survey

An increasing number of discoveries with high CO2 content offshore Brazil highlight a new exploration risk for the pre-salt play. New seismic data is fundamental to understanding deep geological features to address this risk. CGG’s Nebula-C data set provides images down to 20 km in depth and shows ultra-deep crustal features in high definition. Mapping the Moho and deep-seated faults is essential to understanding possible paths of mantellic CO2 migration to pre-salt reservoirs. A de-risking study was performed using Nebula-C to map where the deep-seated faults connect Moho and the reservoir, and where the lower crust is not offset by faulting, allowing prospect identification with lower risk of CO2 contamination.

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This article discusses how machine learning and artificial intelligence methods can screen a large corpus of unstructured documents, locating and analysing core and thin section images for the purposes of porosity quantification, assignment of core and thin section scale sedimentary facies and the detection of hydrocarbon shows.

This whitepaper summarizes the marine geothermal system and co-production opportunities, an overview of where geothermal can be deployed, best practices for responsible development of offshore geothermal, and growth opportunities that offshore geothermal can bring to developing nations.

This paper presents a detailed and integrated methodology and case study for building a 3D geological model to characterize a Lower Cretaceous reservoir for a field located offshore Abu Dhabi.