Technical Content

This paper describes a new dense survey acquired in 2020 in the Permian Basin and aims to objectively assess the quality and benefits brought by a richer low end of the spectrum and far offsets. For this purpose, we considered several aspects, from acquisition ...

Twelve multi-source/multi-receiver land surveys from the Carpathian foothills were reprocessed and merged using the most advanced signal processing and imaging technologies. These included an innovative denoising subtraction using a primary model from the de-migration of a clean reflectivity from PSDM as well as a ...

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 ...

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 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 ...

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 ...

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 ...

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 ...