TGS NOPEC Geophysical Company ASATGS identified as strongest beneficiary of increasing AI adoption in oilfield services.
Goldman Sachs said artificial intelligence and digital technologies could significantly shorten development timelines and lower costs for new oil and gas projects. AI, high-performance computing, and digitalization could reduce the average development cycle for greenfield deepwater projects from about 12 years to seven years, with most of the time savings occurring before final investment decisions through faster exploration, appraisal, and engineering work. The improvements could lift the internal rate of return for a typical greenfield oil project to 19% from 15.5% by lowering capital spending, reducing operating costs, shortening development timelines, and increasing production, while project breakeven prices could decline by about 15%. Among oilfield services companies, TGS, Vallourec and SLB were identified as the strongest beneficiaries of increasing AI adoption, while companies focused on floating production storage and offloading vessels and pure subsea construction contractors are expected to benefit less because their operations remain constrained by fabrication capacity rather than digital workflows.
TGS NOPEC Geophysical Company ASATGS identified as strongest beneficiary of increasing AI adoption in oilfield services.
SLB N.V.SLB identified as strongest beneficiary of increasing AI adoption in oilfield services.
Transportadora de Gas del Sur SA ADR
VallourecVallourec identified as strongest beneficiary of increasing AI adoption in oilfield services.
Schlumberger NVSLB identified as strong beneficiary of AI adoption in oilfield services, improving project economics.
Goldman Sachs Group Inc