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A machine learning pipeline for document extraction

Each year the geoscience industry creates huge volumes of documents containing a wealth of knowledge which cannot be easily queried or extracted. Key to the successful extraction and transformation of data is an understanding of the nature of the data that exists within a corpus of files. For large datasets, it is time-consuming to manually open and review each document in turn. Therefore, in this article, we discuss how machine learning is used at CGG to classify documents in our automated pipeline and reduce project times significantly.

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Nordkapp TopSeis/node acquisition - Lessons from a modelling study

Based on an extensive 3D modelling study utilising full-wavefield Finite-Difference modelling and Full-Waveform Inversion (FWI) we demonstrate that the TopSeis/OBN hybrid acquisition acquired from May to August 2021 in the Nordkapp basin in the Barents Sea has the potential to image salt flanks and sedimentary details, given an accurate initial model in the shallow and a carefully designed deblending and FWI workflow. As a part of this we demonstrate that the large offsets and multi-azimuth recorded by the ocean bottom nodes are crucial to image the complex salt diapirism in the area including the steeply dipping flanks.

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Central North Sea Cornerstone Surveys

CGG offers the most recent and most advanced seismic coverage of the Central North Sea (CNS) to help you improve understanding of existing assets, better evaluate new exploration targets, identify near-field exploration opportunities and aid reservoir development.

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Earth Data

Gain a competitive edge with the most advanced multi-client Earth data products, including newly acquired and reprocessed multi-client seismic data, digitally-transformed geological data and grav mag potential fields data.

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Survey design comparison regarding seismic reservoir characterization objectives: a case study from South Tunisia

Survey design comparison regarding seismic reservoir characterization objectives: a case study from South Tunisia L. Michou, L. Michel, P. Herrmann, T. Coleou, P.Feugere, J.L. Formento The objective of this onshore survey designs’ comparison case study is to highlight the impact of the acquisition trace density on seismic reservoir characterization in order to optimize acquisition geometries. Structural, AVO and AVAz seismic reservoir attributes and QCs from 4 seismic surveys over the same area, the Jebel Grouz South Tunisian field, are compared. Results highlight the added value of the acquisition trace density in comparison to the source strength or the source and receiver proportion, especially for elastic and anisotropic seismic reservoir characterizations.

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