artificial intelligence

The authors of this paper describe a suite of technologies that enables enhanced well robustness and performance modeling and monitoring of carbon storage facilities.

This paper presents the proof of concept of artificial-intelligence-based well-integrity monitoring for gas lift, natural flow, and water-injector wells.

The authors of this paper describe a project aimed at automating the task of cuttings descriptions with machine-learning and artificial-intelligence techniques, in terms of both lithology identification and quantitative estimation of lithology abundances.

Finding and producing crude and natural gas is far, far removed from the days of acting on a geologist’s hunch or a wildcatter’s gut feeling.

It is imperative for energy companies to assess potential legal ramifications of integrating artificial intelligence into their operations.

Data and AI will change our industry for the better. At the root of this change will be the empowerment of engineers to make better decisions.

The company has announced that it will be expanding the use of generative AI to assist its employees.

The oil and gas industry is embracing digital technology not just as a differentiator but as an enabler of innovation. The simple reality is that, if one doesn’t, they risk being out of the game.

The three companies signed a Memorandum of Understanding to explore the development of an energy-specific large language model.

AIQ, ADNOC, and SLB announced a new software suite that integrates artificial intelligence into reservoir analysis and field development projects.