CGG has been awarded a three-year contract extension by Petroleum Development Oman (PDO) to continue providing advanced land seismic imaging services at its dedicated processing center (DPC) in Muscat on Nov. 30. The new contract will run from January 1, 2022 until December 31, 2024.

PDO operates a concession in Oman that covers almost one third of the country’s land surface area. This makes the DPC a critical proving ground for deploying new technology and workflows that can meet the highly variable imaging requirements of PDO’s exploration and production activities.

With this contract extension, CGG specialists will continue to implement their latest proprietary algorithms to bring step-changes in the imaging of the ever-growing volumes of land data, characterized by complex near-surface conditions and strong multiples. CGG will also address new challenges, such as adapting to PDO’s transition from cable to node multisource acquisition, incorporating machine learning into the workflows for both efficiency and improved quality, and supporting PDO in their ongoing challenge to increase the applicability of seismic in reservoir characterization.  

CGG remains committed to its significant in-country value initiatives within Oman. These include promoting and developing local talent, and supporting various educational initiatives and outreaches through its close ties with the Sultan Qaboos University.

“I would like to congratulate our Muscat DPC team on winning this contract renewal for our largest DPC worldwide,” Sophie Zurquiyah, CEO of CGG, said. “This achievement is undoubtedly due to their technical excellence, their outstanding service and support to PDO, and their proactivity over the decades to embrace change and new challenges. By 2024, CGG and PDO will have celebrated the 30th anniversary of this highly collaborative partnership that focuses on safety, integrity and innovation. We are committed to building on this legacy and the continued advance of our seismic data imaging technology to best support PDO in the de-risking of prospects and the optimization of production.”