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The benefits of CGG technologies and services are regularly featured in the industry press. Find out more by consulting our e-library of published industry articles. Narrow your search by entering at least one search criterion:

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Post-stack attribute-based fracture characterization: A case study from the Niobrara shale

First Break, May, 2017
Geoffrey Dorn | Joseph Dominguez
©2017 EAGE

The detection and mapping of fractures in migrated poststack 3D seismic data depends on the resolution and signal-tonoise ratio of the data in the seismic volume. A discussion of resolution problems and the limits of resolution in post-stack 3D seismic data, and structurally-oriented post-stack coherent and random noise filtering is followed by descriptions of a Fracture Density attribute and of the extraction of fracture orientations.

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Peering into the Permian

Oilfield Technology, March, 2017
Trevor Coulman | Ronald Kenny | Sue Rezai | Alain Viau | Olivier Winter
©2017 Palladian Publications Ltd

A case history in West Texas, in the Permian Basin, of a non-exclusive seismic imaging project spanning acquisition, processing and reservoir interpretation. Located in Howard and Glasscock counties, the Hobo non-exclusive seismic survey aims at imaging and quantitatively interpreting the Spraberry and Wolfcamp formations.

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Machine learning systems open up access to large volumes of valuable information lying dormant in unstructured documents

Leading Edge, March, 2017
Kerry Blinston | Henri Blondelle
©2017 SEG

We discuss a feasibility study to access the 11,500 well headers and 450,000 documents from the United Kingdom Continental Shelf (UKCS) that were released by Common Data Access Limited. A cost-effective solution based on emerging machine learning technology “taught” and guided by data-management experts supports the reliable indexing and cataloging of these forms of data, paving the way for much more reliable E&P business decisions in the future.

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Extracting seismic uncertainties from tomographic velocity inversion and their use in reservoir risk analysis

Leading Edge, February, 2017
Jeremie Messud | Mathieu Reinier | Herve Prigent | Patrice Guillaume | Thierry Coleou | Sylvain Masclet
©2017 SEG

Structural information in seismic images is critical for reservoir delineation, reserve estimation and well planning, but is also uncertain by nature. A cause for this is uncertainty in migration model estimated by tomography that straightforwardly affects position of migrated events, both laterally and vertically. We present a method that accounts for uncertainties in subsurface velocity model estimated by tomography, and translate them into the migrated domain. The method comes with QCs for validating computed attributes before integration with other downstream or interpretative information. The method is then applied to a North Sea area covered by multi-survey data.

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Orthorhombic full-waveform inversion for imaging the Luda field using wide-azimuth ocean-bottom-cable data

Leading Edge, January, 2017
Yi Xie | Bin Zhou | Joe Zhou | Jiangtao Hu | Lei Xu | Xiaodong Wu | Nina Lin | Fong Cheen Loh | Lubo Liu | and Zhiliang Wang (CNOOC ltd-Tianjin)
©2017 SEG

Ocean Bottom Cable (OBC) acquisition has become the new trend in Bohai area with the benefit of operational flexibility, better illumination, better multiple elimination and better S/N for the targets at middle to deep depth. However, the presence of orthorhombic anisotropy causes severe challenges in imaging with Wide Azimuth (WAZ) OBC data, particularly fault imaging which is sensitive to velocity accuracy. Fault imaging can be smeared and fault shadows can be observed within complex strike-slip fault systems if the azimuthal dependency of wave propagation is not properly honored and velocity variation across faults is not properly modelled. To address these challenges encountered in imaging of Luda field with WAZ OBC data, we have developed a practical orthorhombic full-waveform inversion approach to invert for a high-resolution model in the presence of orthorhombic anisotropy. We will demonstrate that our orthorhombic FWI approach can produce high resolution velocity model which reconciles the structural discrepancies between seismic images from different azimuths, and significantly improves the focusing of the fault imaging and the imaging of structures beneath the faulting system. The combined effect of these improvements gives a clear uplift in the final seismic image.

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