Artificial intelligence (AI) and robotics are bringing revolutionary change to the oil and gas sector.
This was stated by GlobalData in a release sent to Rigzone by the GlobalData team, outlining that these technologies are “accelerating improvements in operational efficiency, safety and environmental sustainability.”
“These technologies will transform how the oil and gas industry approaches exploration, production, refining and logistics, ushering in a new era of innovation to improve productivity, efficiency, sustainability and safety,” GlobalData said in a release, highlighting the company's new report on AI and robotics in the oil and gas industry.
The report highlights more than 50 “real-world innovations in AI and robotics in the sector,” categorizing them by their impact on sector use cases and “showing the transformative potential across the sector.” The report also explores emerging areas such as generative AI and pipeline inspection robotics with real industry examples, the release noted.
“AI and robotics are bringing far-reaching change to the oil and gas industry, fundamentally redefining what is possible,” Saurabh Daga, disruptive technologies project manager at GlobalData, said in the release.
“These technologies will help overcome a range of challenges, from reducing costs to improving safety and sustainability, setting new standards in efficiency and innovation,” Daga added.
“From autonomous operations, drilling optimization and plant inspections to fleet optimization, we are transforming upstream, midstream and downstream operations while pushing the boundaries of efficiency and innovation,” Daga continued.
In a statement, Daga warned that the future of the oil and gas sector lies in AI and robotics across the entire value chain, “from upstream seismic analysis and real-time monitoring to downstream predictive maintenance and autonomous refineries.”
“Challenges such as data integration, safety regulations and a skilled workforce require joint solutions and strategic investments in research and development,” Daga said.
“Overcoming these hurdles will pave the way for AI and robotics to bring efficiency, sustainability and innovation to the sector,” Daga added.
The release highlighted several examples of AI, noting that SLB is partnering with Ineos Energy to integrate AI capabilities through SLB's Delfi digital platform.
GlobalData added that the partnership is aimed at improving operational performance across oil and gas operations, carbon capture and storage (CCS) and new acquisitions, and “represents a pivotal move towards sustainable, low-carbon energy solutions, particularly in the North Sea region.”
In a statement posted on its website last September, SLB announced that it had entered into an underground technology partnership with Ineos Energy.
“INEOS Energy will partner with SLB's Performance Centre in Aberdeen to jointly develop and innovate subsurface technologies, including AI capabilities, to contribute to continued growth, new acquisitions and improved operational performance for carbon capture and storage,” SLB said in a statement.
“Under the agreement, INEOS Energy will integrate the SLB Delfi digital platform into its oil and gas operations, specifically subsurface, wellbore, transportation and monitoring,” the company added.
“Delphi will seamlessly integrate its current assets with the new acquisition, a key component of its emissions-reducing CCS strategy for a sustainable, low-carbon future,” the company continued.
The GlobalData release also noted that Shell has begun implementing generative AI technology for offshore oil drilling.
“The company has partnered with Texas-based AI startup SparkCognition to enhance its deepwater oil and gas exploration and drilling capabilities through a proprietary generative AI approach they jointly developed,” GlobalData said in a release.
Last May, SparkCognition announced a technology partnership with Shell to “accelerate the pace of imaging and exploration of subsurface structures using generative AI techniques.”
“By using advanced AI algorithms to process large amounts of data and automate analysis, we aim to improve the efficiency and speed of exploration workflows, potentially leading to increased productivity and improved success rates,” the company said in a release.
In a release sent to Rigzone at the end of April, GlobalData noted that Saudi Aramco's AI innovation advantage positions the company at the forefront of the curve.
The release included Aramco's AI Innovation Leadership Map, which shows that the company is a leader in a range of topics, including oil exploration AI, drone control AI, obstacle monitoring AI and underwater robotics.
According to the map, the company is an “explorer” in topics such as intelligent predictive maintenance, explainable AI and ensemble learning, and a “challenger” in topics such as welding robots, image smoothing and defect detection models.
Read the latest issue of OGV Energy magazine here
Published date: 2024-07-16
