CGG will collaborate with Microsoft to deliver a Cloud platform for Geoscience data and Technologies
CGG and Microsoft Azure will closely work together to develop and accelerate Exploration and Development workflows for their oil and gas client companies.
Through Azure, oil and gas companies across the globe will have access to CGG’s extensive library of geoscience data, and high-end interpretation, analysis and reservoir characterisation software technologies.
The Cloud platforms and overall digital transformation of the O&G industry will faster enable global collaboration and integration, increased efficiency and development of new E&P workflows.
CGG’s new generation of blended seismic
CGG recently used this new blended seismic imaging method in a rich-azimuth, multi-client survey acquired over the North Rona Ridge, NW of Shetland. The purpose was to image multiple targets from shallow Tertiary and Cretaceous plays, through to complex fractured Devono-Carboniferous reservoirs and Pre-Cambrian fractured basement plays.
The project was successful due to the clever survey design, with the inclusion of a group of wide-azimuths sources that were positioned out to the side of the streamers, allowing data to be registered efficiently parallel to the coastline, in the strike direction of the main structure, while still providing crossline offsets and dense sampling in the dip direction.
Deblending technology provided the freedom to have multiple sources on the streamer vessel to acquire dense data in the inline direction, while at the same time simultaneously acquiring dense data in the crossline direction without compromising the delivery timescale.
It was used a dual-vessel, rich-azimuth setup, each vessel equipped with triple sources, and the source vessel positioned broadside to the streamer vessel, halfway along the streamers. As well as maximising the rich-azimuth contribution to the stack, the source vessel positioning also provided a difference in apparent dip between arrivals from both vessels, assisting the deblending.
The shooting strategy was adapted to fire the sources more frequently to preserve seismic fold for all offset/azimuth classes, as well as increasing operational efficiency.
Johan Sverdrup Permanent Reservoir Monitoring (PRM) contract won by CGG
CGG will process the seismic data for Equinor’s Johan Sverdrup PRM project, starting in Q2 2019 for an initial period of 31 months, with the option for two three-year extensions.
The CGG processing experts will deliver high-quality time-lapse 4D images of JS asset during production. Equinor will use this data to optimise production and hydrocarbons recovery.
CGG continues its strong collaboration with Equinor, after previous PRM projects have been allocated to CGG: Snorre in 2013 and Grane in 2014.
Positive results for CGG’s OBN Imaging at Mad Dog field, GoM
CGG’s Ocean-bottom nodes (OBN) seismic data combined with full-waveform inversion (FWI), for velocity model derivation methodology, provided this step-change improvement in imaging at the subsalt Mad Dog Field. Project cycle time was significantly reduced by almost half.
The FWI provided a fast-track velocity model that facilitated a superior migration for depth imaging just weeks after delivery of the OBN data.
BP and partners needed access to high-quality images to modify and optimise their ongoing drilling program.