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The company looks to focus its efforts on getting phase one of its Driftwood LNG up and running by shedding Haynesville acreage.

This article explores the effect of quantum computing on data science and AI, looking at the fundamental concepts of quantum computing and the key terms used in the field. It also covers the challenges that lie ahead for quantum computing and how they can be overcome.

The Taiwanese company is upgrading its ships in an effort to improve its ability to work with companies pursuing offshore renewable energy.

Backed by more than $28 million in fresh investments, XGS Energy is prepping to introduce a new technology called thermal reach enhancement.

After becoming the first oil and gas major to source all its onshore grid electricity needs from nuclear and solar energy, ADNOC now focuses on decarbonizing production offshore.

The award to Norway’s Longitude Engineering covers deepsea design and engineering services for Phase 10 of Egypt’s West Delta Deep Marine Concession.

This paper addresses the challenges related to well control and the successful implementation of deep-transient-test operations in an offshore well in Southeast Asia carried out with the help of a dynamic well-control-simulation platform.

The authors of this paper propose an artificial-intelligence-assisted work flow that uses machine-learning techniques to identify sweet spots in carbonate reservoirs.

In this paper, the effect of cold-water injection on pressure transient analysis (PTA) of geothermal reservoirs is studied by varying the temperature of the injected cold water from room temperature to reservoir temperature.

This paper describes an autonomous drilling approach using an autocurve-drilling mode to automatically drill curved sections without human intervention and complete autonomous well construction.

This paper describes an effort to use multiple technologies to better understand an Arkoma Basin reservoir and the interdisciplinary relationship between the reservoir’s subsurface hazards and a stimulation treatment.

This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.