CGG has always been at the forefront of industrial High Performance Computing (HPC) architectures: we were operating vector supercomputers (Convex, Cray and NEC) in the early 1990s, and large parallel supercomputers (Convex SPP, IBM SP, Sgi Origin) by the end of that decade. At ...
Technical Content
Optimal transport full-waveform inversion: from theory to industrial applications with examples from the Sultanate of Oman
Optimal transport full-waveform inversion: from theory to industrial applications with examples from the Sultanate of Oman
The optimal transport problem was formulated more than 200 years ago to calculate the optimal way of transporting piles of sand. Due to the interesting properties of its solutions with respect to shifts between the compared distributions, optimal transport has recently been adapted to ...
The impact of wavelet estimation in 4D inversion – an offshore Brazil case study
The impact of wavelet estimation in 4D inversion – an offshore Brazil case study
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 ...
Greater Castberg Survey - A catalyst for further development
Greater Castberg Survey - A catalyst for further development
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 ...
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 ...
Characterization of a carbonate geothermal reservoir using rock physics-guided deep neural networks
Characterization of a carbonate geothermal reservoir using rock physics-guided deep neural networks
Deep neural networks are used to characterize the porosity and permeability of the Dogger formation north-east of Paris, France, that already hosts a number of geothermal plants and is set to become even more important with the transition toward renewable energies. Due to the ...
Model misspecification and bias in the least-squares algorithm: Implications for linearized isotropic AVO
Model misspecification and bias in the least-squares algorithm: Implications for linearized isotropic AVO
This paper shows how to calculate the bias due to misspecified models in least-squares parameter estimation. It introduces Omitted Variable Bias (OVB), a technique well known in least-squares analysis in the context of econometric data analysis. OVB is applied to the analysis of linearized ...
Multiwave Inversion: a key step for depth model building - examples from the Sultanate of Oman
Multiwave Inversion: a key step for depth model building - examples from the Sultanate of Oman
The near surface in the Middle East is characterized by the presence of very shallow fast carbonates and anhydrites interleaved by slow-velocity clastic layers, resulting in sharp velocity inversions. We present here examples from two case studies in the Sultanate of Oman using Multi-Wave ...
Rock Physics Diagnostics: a Prerequisite for Successful Modeling
Rock Physics Diagnostics: a Prerequisite for Successful Modeling
This article discusses the importance of performing rock physics diagnostics in the context of rock texture and geological processes that lead to rock formation. This makes it possible to select the right physical rock physics model to perform the modeling and set the parameters ...