Data & Analytics

This paper discusses how digital technologies are being applied in other verticals and how they can be leveraged to optimize lifecycle performance, drive down costs, and decouple market volatility from profitability for offshore oil and gas facilities.

The paper discusses a methodology for integrating intelligent completion and production systems with a modeling and analytics framework for efficient development of fiber-optic-based data-interpretation services for complex downhole environments.

Physics-based simulations plus machine-learning exercises are yielding a more comprehensive look at production volumes from unconventional assets.

Saudi Aramco is accelerating the adoption and scaleup of disruptive and multipurpose robotic technologies to deliver safer, cost-effective, and efficient inspection capabilities, emergency response, aerial mapping, project monitoring, security surveillance, and environmental monitoring.

Researchers in the Netherlands have established an entanglement-based network between three quantum processors for the first time.

Smaller and independent upstream companies often have limited resources for data management. Nonetheless, their data are valuable and must be managed for that value to be realized. Geologists may just be in the perfect position to do the job, if they can get the training.

New contracts, a joint venture, and a merger are pushing the company's robotic vessel fleet further into the mainstream of both hydrocarbons and renewable energy inspection services.

If there's one thing people know how to do, it's guess what caused something else to happen. Usually, these guesses are good, especially when making a visual observation of something in the physical world. AI continues to wrestle with such inference of causality, and fundamental challenges must be overcome before we can have "intuitive" machine learning.

The digital repository will use a hybrid cloud architecture to provide subsurface data for the Norwegian Petroleum Directorate.