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In this paper, example machine-learning models were trained using geologic, completion, and spacing parameters to predict production across the primary developed formations within the Midland Basin.

The authors of this paper present the results of an assessment of two regions in Uruguay suitable for bottom-fixed offshore wind technologies.

The authors of this paper describe a technology built on a causation-based artificial intelligence framework designed to forewarn complex, hard-to-detect state changes in chemical, biological, and geological systems.

Wave power plus a subsea battery can be a reliable source for subsea operations, to a point.

Woodside confirms key contracts for deepwater Mexican Gulf development.

Understanding the subsurface is crucial to the success of carbon capture and storage, and digital solutions are essential for an accurate analysis of the subsurface being considered.

Health, safety, and environment operations can be greatly enhanced by using artificial intelligence (AI) techniques on HSE data. One important aspect inherent in this process is the need to establish trust in the AI system among the users.

The Court of Appeals for the Eighth District of Texas ruled that the mineral lessee under an oil and gas lease owns the water extracted, not the surface property owner.

National oil companies and traditional upstream players are progressively focusing on cleaner and more environmentally friendly energy initiatives.

The lease auction aims to advance the president’s commitment to deploy 30 GW of offshore wind energy by 2030.

Norwegian energy company Equinor has acquired a 25% stake in the Bayou Bend CCS project from Houston-based Carbonvert.

The platform is Shell's first in the region to be fully supplied by both wind and solar power generation.