Technical Content

Much recent work has been done on comparing machine learning and geophysical inversion techniques to the extraction of model parameters from seismic reflection data. In our profession we are used to analyzing the physics of geophysical problems in detail. However, in many of the ...

The use of existing geological and structural maps, previous 2D seismic profiles, boreholes and correlation models between these data is sufficient to understand basin structure and thermal systems on a regional scale. However, this is not sufficient on a scale of a geothermal site....

FWI velocity models do not necessarily ensure an optimal flattening of common image gathers (CIG). A fundamental reason for this is that mid to high wavenumbers are brought into the model by the reflection amplitudes, which are only partly explained by changes in velocity ...

Summary of the evolution based processing and imaging of the Montrose/Arbroath fields of the Central North Sea, with a focus on new demultiple technology in the form of wave equation deconvolution, Ghost Wavefield Elimination using legacy NFH recordings, joint reflection/refraction tomography followed by Q-FWI ...

We discuss the advantages of multidimensional (in data space) optimal transport (OT) full waveform inversion (FWI). We show that a careful formulation results into an enhanced coherency of the events continuity in the move-out direction, that leads to an improved velocity update compared to ...

Main authors are BP and CGG are co-authors so limited on what updates can be made. Ongoing thoughts are that CGG would like more acknowledgment for the "EVO"; approach but other than that happy with the content.

Shallow S-wave velocity model building is very important to land and Ocean Bottom Seismic (OBS) PS data processing. Surface wave, propagating along near surface, brings lots of useful information of shallow lithology which is good for near surface S-wave velocity estimation. In this study ...

The Mungo field in the North Sea is both structurally and stratigraphically complex. Despite improvements of OBC acquisition over the legacy towed streamer data interpretational challenges, particularly with respect to the salt geometry, remained. To achieve the required step-change in imaging within the project’s ...

South Arne presents a velocity-model building challenge with large gas cloud obscuring underlying chalk reservoirs. Above the gas cloud is a complex near-surface with lateral velocity (Vp) variations. Additionally, a thin layer of strong anisotropy (peak epsilon around 23 %) occupies a 200-500 m ...