Artificial intelligence

RoboWell uses cloud-based AI algorithms to autonomously operate wells that self-adjust according to changing conditions. This enhances the safe operation of the well, improves efficiency, reduces the need for travel and physical interventions, and so minimizes emissions.

Occidental, which is building a carbon-capture portfolio through its subsidiary 1PointFive, plans to build a fleet of plants that suck carbon dioxide directly from the air. Microsoft on Tuesday agreed to buy 500,000 metric tons of credits from the company’s Stratos plant in Texas, which is expected to start up next year.

AIQ’s RoboWell autonomous well control (AWC) solution will be made available through Halliburton’s Landmark iEnergy hybrid cloud. This agreement marks a step in AIQ’s goal to expand the adoption of AI-enabled AWC tools to help optimize and increase production in the global upstream sector.

PetroAI will utilize TGS' extensive subsurface, production and well data to create advanced AI models capable of accurately predicting well performance and identifying design sensitivities. This partnership offers quick access to pre-built, high-quality models tailored for both Proved Developed Producing (PDP) and Proved Undeveloped (PUD) wells at county or basin levels.

Seeq, a leader in industrial analytics, AI, and monitoring, and Equinor announced a multi-year commercial agreement for the Seeq Industrial Analytics and AI platform, to be leveraged across Equinor’s global assets to further accelerate digital transformation outcomes.

The software is a fully adaptive, self-learning, and continuously improving system that addresses the unique challenges and requirements of drilling. The AI agent finds the most efficient and safe way to TD, predicts incidents, hazards, and optimizes parameters.

The artificial intelligence-based Autonomous Machinery Health Management Function (HiCBM) and the Autonomous Safety Management Function (HiCAMS) both received AIP from ABS at the Offshore Technology Conference in Houston.

Discover how automation and AI technology can streamline tubular installation, ensuring that operations are not only faster, saving valuable time, but also smarter, optimizing resources and decision-making in real-time. Moreover, with the emphasis on cleaner operations, reductions in footprint, people on board (POB) and carbon emissions can also be achieved. Join us to learn how these advancements deliver excellence in tubular running services.

The collaboration combines Seatrium’s insights into trends and opportunities within the O&M sector with the research capabilities of A*STAR and its National Platforms such as the Technology Centre for Offshore and Marine, Singapore. The parties aim to boost the O&M sector’s pivot to new energies efficiently and reliably, and support the global transition to a low-carbon economy.

Production capacity at the Belbazem offshore block is set to progressively ramp up to 45,000 bpd of light crude and 27 MMcfd of associated gas, contributing to ADNOC’s target of reaching 5 MMbpd by 2027.

By combining Chevron’s artificial-intelligence models for automated fault detection, with Eliis’s global methods for advanced seismic interpretation, the time needed to perform structural interpretation, in all geological settings, can be reduced by orders of magnitude.

The firm’s event-driven software monitors for corrosion threats allowing organizations to act before damage occurs, analyzing integrity data in near real-time. The integrated dashboard displays a live, round-the-clock snapshot of an asset’s performance to provide instant insights into its current condition while forecasting the future states of safety-critical systems.

Chair and CEO Julia Sweet of Accenture put into words what most companies recognize: AI represents one of the “most exciting times to lead companies.” With AI, breakthroughs in operations efficiency and reducing emissions are much closer, so that the energy industry can enhance the core of what they do.

Advanced AI is gaining a foothold in the oil field as drillers and producers are relentlessly focused on improving efficiency. While the technology is being tested around the globe, the U.S. is perhaps the most important spot to watch.

tde powerline is the industry’s first downhole high power, high bandwidth data highway enabling intelligent digital drilling systems - a key enabler for AI driven solutions and drilling automation.

A new AI-driven solution provides insights that enable rig personnel to act earlier and more confidently, reducing risks and improving well delivery.

Palantir’s Foundry Platform and Artificial Intelligence Platform (AIP) will be deployed in a three-year agreement to help Bapco Upstream maximize its return on investment on energy production in the country and support its mission to connect the energy infrastructure of the Kingdom of Bahrain in an unprecedented way.

The Geminus model builder fuses physics-based approaches with process data to produce highly accurate AI models that can be deployed at scale, far faster and at much less cost than traditional AI approaches.

LightOn's AI targets industrial applications through the use of their generative AI Paradigm platform, while CGG's outcome-driven, highly optimized and sustainable approach to industrial HPC, based on its proprietary immersion cooling technology and use of 100% renewable energy, is well proven in the energy industry.

In today’s volatile environment, there is a pressing global need for secure, sustainable and affordable energy. Oil and gas exploration and production companies must optimize performance to remain profitable, while also reducing geological risks—especially for structurally and lithologically complex reservoirs. The future of the upstream industry lies in the adoption of innovative geoscience digitalization solutions to optimize operations. Machine learning applications for geoscience data have been in use for more than 25 years but have become critical in recent years due to the massive growth in the amount of petrotechnical data being acquired. As machine learning evolves and gains acceptance, it will play an increasingly visible role in analyzing surface and subsurface data. Join World Oil and AspenTech for this webinar to learn how to: • Improve digital representations of the subsurface, such as rock prediction volumes, using machine learning and AI • Leverage, QC and de-risk existing data from the subsurface, and display them in a comprehensive manner • Make faster, more educated business decisions at lower cost Register now to join the conversation and hear how you can leverage digital solutions to increase exploration success.