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Technical Content

Technical Abstract
SEG - Society of Exploration Geophysicists | Jing Yang, Xin He, Jiawei Mei, Rongxin Huang (CGG) ; Qingsong Li, Kang Fu, Jean-Paul van Gestel (BP) @2021 Society of Exploration Geophysicists | November

Driven by the notion that blending noise may materially increase the background noise level and obscure the interpretation of weak time-lapse (4D) signals related to subtle reservoir changes, the industry has not yet seen any simultaneous-source (sim-source) surveys acquired for reservoir monitoring. Thus, whether ...

Technical Abstract
SEG - Society of Exploration Geophysicists | M. Wang, Y. Xie, Peipei Deng, J.H. Tan, S. Maitra (CGG) ; M. Camm, N.F. S Zainal (KOPC) ; W.H. Tang, M.N. B. M. Isa, AA. B. Muhamad (Petronas) @2021 Society of Exploration Geophysicists | November

Shear wave velocity model building (S-wave VMB) is a critical and difficult processing step for converted wave imaging. Conventional S-wave VMB depends on PP-PS joint interpretation-based image registration and PP-PS joint tomography-based residual moveout flattening which have certain advantages and drawbacks. We introduce PS ...

Technical Abstract
SEG - Society of Exploration Geophysicists | Zhiyuan Wei, Jiawei Mei, Zedong Wu, Zhigang Zhang, Rongxin Huang, Ping Wang @2021 Society of Exploration Geophysicists | November

Although the resolution of a seismic image is ultimately bound by the spatial and temporal sampling of the acquired seismic data, the seismic images obtained through conventional imaging methods normally fall far short of this limit. In addition to attenuation in the Earth, factors ...

Technical Abstract
SEG - Society of Exploration Geophysicists | Nanxin Li, Ziqin Yu, Tran Thinh To, Min Wang, Yi Xie (CGG) ; David Dickinson (Woodside) @2021 Society of Exploration Geophysicists | November

Time-lapse (4D) seismic surveys are devised to detect subsurface changes resulting from hydrocarbon production and fluid injection. Full-waveform inversion (FWI) of time-lapse seismic data has been reported to provide high-resolution estimates of 4D changes. However, successful applications of 4D FWI on field data have ...

Technical Abstract
SEG - Society of Exploration Geophysicists | Feng Lin, Dorothy Ren, Jiawei Mei, Zhiguang Xue (CGG) ; Joakim Blanch (BHP) @2021 Society of Exploration Geophysicists | November

The western part of the Gulf of Mexico (WGOM) is often characterized by large and complex salt and shale bodies, making it notoriously challenging to image deep subsalt targets, especially with only wide-azimuth towed-streamer (WATS) data available. In 2018, BHP acquired a large-scale sparse ...

Industry Article
First Break | Ekaterina Kneller, Ulisses Correia, Laryssa Oliveira, Jean-philippe Coulon (CGG) ; Paulo de Oliveira Maciel Junior, Wilson Lisboa Ramos Filho (Petrobras) ©2021 EAGE | November

The 4D global inversion workflow is a multistage process that includes seismic data preconditioning, wavelet estimation, low-frequency model building, 3D inversion, and finally a 4D global inversion. In this work, focusing on a post-salt turbidite reservoir in the Campos Basin, offshore Brazil, we show ...

Industry Article
GeoExpro | Gustav Aagenes Ersdal, Idar Kjorlaug ©2021 GeoPublishing Ltd | October

Exploration activity in the Barents Sea has fluctuated considerably over the last 40 years, in line with the price of oil and general industry optimism. Today’s high level of activity focused on ongoing and planned field developments and production may spur further exploration as ...

Industry Article
GeoExpro | Gregor Duval, Madhurima Bhattacharya ©2021 GeoPublishing Ltd | October

At first glance, the Western Indian Ocean region may look like a barren oceanic crust with little potential, but there is tantalising evidence to suggest otherwise. CGG geoscientists have been sifting through the evidence to re-evaluate opportunities offshore East Africa and in the Western ...

Flyer
©2021 CGG | October

Preserve the geological and seismic detail in your static model during history matching, assess uncertainty and reduce time spent on manual model updates with this innovative and efficient ensemble-based multi-scale data-driven approach.