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.
CGG has completed the Pre-Stack Time Migration (PSTM) of its 2,500-sq-km Dunquin multi-client survey acquired in Block 44 of the Porcupine Basin, west of Ireland, in 2017.
At the 2018 EAGE convention in Copenhagen, CGG GeoSoftware is showcasing its latest developments aimed at harnessing the powerful capabilities of machine learning and cloud computing to enhance the performance and value of its geoscience software. E&P industry users can benefit from these new advances and transform their work practices, processes and workflows to ultimately streamline and improve operations.