Brightskies Geoscience (BSG), a full-service seismic processing contractor based in Cairo has been awarded additional seismic reprocessing projects from a returning client after a discovery was made on the results a previous project. The Egyptian based client awarded BSG additional 3D land seismic reprocessing surveys citing, “An excellent job was performed with fantastic results” on achieving a new discovery in the Western Desert.
BSG is proud to be part of the Open-es community
Brightskies Geoscience is proud to be part of the Open-es community, an innovative digital platform for companies engaged in energy transition promoted by Eni.
BSG is now member of Achilles Oil & Gas Europe
Brightskies Geoscience is pleased to announce that we are now a fully registered supplier on the Achilles Oil & Gas Europe Community, (ID number 40669).
Brightskies Geoscience (BSG) awarded seismic processing contract
Brightskies Geoscience Inc., is an emerging seismic processing company, based in Cairo has been awarded a new seismic processing contract. Awarded by a leading energy company in the Middle East, the survey is approximately 350 sq. km and located in the Western Desert, Egypt. The technically challenging dataset, set to benefit from BSG’s highly experienced personnel, will undergo full 3D seismic reprocessing including pre-processing, preSTM and preSDM comes ahead of the upcoming drilling campaign that is planned for the area.
Brightskies & Intel Collaborate to Build Custom HPC Solutions for Oil and Gas Exploration
Brightskies shares how we used the Intel® oneAPI toolkits to build our own reverse time migration (RTM) solution, to help geoscientists and geologists at energy companies use HPC for seismic image processing. Brightskies migrated its code to different hardware architectures using DPC++, while tuning only 30% of the code and simultaneously achieved increased performance for their customers.
Brightskies’ Experience Using oneAPI for Reverse Time Migration: Choosing the Right API Matters in Real Product Development
The choice of programming model is a critical decision when embarking on a new development project. This decision has only gotten more difficult with the proliferation of parallel programming approaches and hardware accelerators, from vector CPUs to GPUs, FPGAs, DSPs, ASICs, and even dedicated AI chips. These accelerators often require proprietary programming approaches that lock the software to a particular vendor’s architecture.