Newsroom

Deriving facies models from the outcomes of seismic inversions, and their derivatives, has become standard practice in reservoir characterization workflows. Although facies classification methods are rooted in Bayesian inference theory, they continue to evolve.

CGG has commenced acquisition of a high-density, rich-azimuth, towed-streamer multi-client survey in the UK West Shetland Basin. The 3,600 sq km survey has received strong industry support and been designed in collaboration with major international oil companies.

High-precision ground stability measurements from CGG’s recently released MotionMap UK database will now be used to enhance the specialist ground risk reports of Terrafirma Search, the UK’s leading independent advisor on ground hazards.

CGG S.A. (“CGG”) today announces that the Board of Directors has unanimously approved the voluntary delisting of its American Depositary Shares (“ADSs”) from the New York Stock Exchange (“NYSE”) and its voluntary deregistration with the United States Securities and Exchange Commission (“SEC”).

CGG and PETRONAS Carigali Sdn Bhd (PETRONAS Carigali), a wholly-owned subsidiary of Petroliam Nasional Berhad (PETRONAS), have agreed on a collaboration to provide access to CGG’s latest technology and expertise in high-end seismic and multi-physics imaging, and reservoir characterization.

CGG announced today that its interim report for the period ending June 30, 2018 and its Form 6-K for the second quarter and first half of 2018 were filed with the Autorité des Marchés Financiers (AMF) and the SEC on August 2, 2018 respectively.

The second quarter results were in line with our expectations with a stable EBITDAs margin year-over-year. SIR performed well and Multi-Client after-sales were particularly high with significant contribution from the North Sea.

CGG announces the appointment of Yuri Baidoukov as Group CFO, effective September 1, 2018.

The IT industry is experiencing an important transformation as companies invest in new technologies to drive growth and innovation. This trend is strongly reflected in our industry as E&P companies deal with enormous amounts of legacy, and increasing volumes of new data along with the expense and complexity of software to analyze and interpret this information.