Technical Content

The shallow water region of the Gulf of Mexico is known to present significant petroleum prospects due to dynamic tectonic activities during the late Cretaceous to early Tertiary. Previous imaging in this region using sparse ocean bottom cable (OBC) surveys was poor, mainly due ...

Land FWI has been applied to seismic data in the Sultanate of Oman in the past years, but its usage has been limited to low frequency updates and input for migration purpose only. With proper input data conditioning, initial model preparation and velocity inversion ...

We present the use of elastic full waveform inversion (FWI) of surface waves to create a detailed shear velocity model of the near surface in the Middle East, where the shallow geology features strong velocity contrasts, making traditional velocity model building techniques challenging. The ...

Full-waveform inversion (FWI) uses the full wavefield as input but, in general, diving waves are the key driver of the method. How to maximize the contribution of reflected waves is an important factor for success of FWI, especially on seismic data with a short ...

Elastic full-waveform inversion (FWI) is now emerging as an industrial tool for the compressional velocity (Vp) model build, driven mainly by diving and reflected P waves. On the other hand, the inversion of S waves in elastic FWI to update shear velocity (Vs) models ...

Fracture characterisation is a key factor for reservoir production optimization. Velocity Variation with Azimuth (VVAz) and Amplitude Variation with Azimuth (AVAz) are the main technologies currently used in the industry for azimuthal anisotropy characterisation, whether it is fracture- or stress-induced, from PP seismic data ...

In shallow water environments the presence of a hard water-bottom and near-surface geological complexities can give rise to strong guided-waves and other elastic effects in the recorded data. These effects can pose challenges for conventional full-waveform inversion (FWI) based on acoustic approximations, leading to ...

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.