Technical Content

Multi-dimensional deconvolution (MDD) is an attractive method to remove free-surface multiples for OBN datasets. Multi-dimensional implementations are able to produce accurate multiple models in areas of structurally complex reflectivity. For most OBN acquisitions, the receiver density is not sufficient for receiver-side MDD. Consequently, source-side ...

Acoustic full-waveform inversion (FWI) is widely employed to produce high-resolution subsurface models, especially for the P-wave velocity. However, more complex geological challenges, such as shallow chalk and salt, generate strong impedance contrasts that exhibit elastic effects, causing acoustic approximations to struggle. In parts of ...

A good estimation of velocity anisotropy is important in a pre-stack depth migration project in order to obtain proper focusing and accurate depthing of the seismic image. Considering that the velocity along the bedding is expected to be faster than across the bedding, the ...

With a new name and its guiding vision to “see things differently”, Viridien (formerly CGG) focuses on human ingenuity to usher in a bright future across multiple sectors.

We present AI-drive workflow for automatic interpretation of large seismic volumes. The workflow is applied to an offshore Abu Dhabi area of 15000 km2. First, we show the fault detection results for the low-magnitude faults of strike-slip type by the fine-tuning of the DNN.

Since the discovery of pre-salt oil fields offshore Brazil two decades ago, the Santos Basin has transitioned from an exploratory to a development phase. This requires a more comprehensive understanding of the reservoir physical properties. This study aims to demonstrate, on one of the ...

Traditional petrographic analysis of rock thin sections is time consuming, it is potentially subjective, may suffer from operator bias, and the results are not necessarily representative of the bulk rock sample. The challenge to automation of petrographic description is the complexity that is inherent ...

Full-waveform inversion (FWI) is a well-established technology for building high-resolution velocity models over complex areas. Conventional industry implementations of FWI typically use the acoustic approximation, which can break down in the presence of strong velocity contrasts where elastic effects in the recorded data cannot ...

Significant subsurface imaging distortions are frequently encountered in intricate faulted structures below substantial gas accumulations in the overburden. The primary difficulty arises from the absorption of seismic energy by gas bodies, and the presence of complex velocity heterogeneities. In these settings, visco-acoustic Time-lag Full ...