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This paper reviews the motivation and development of response-based forecasting from the perspective of the authors, reviewing examples and processes that have served as validation and led to modeling refinement.

This paper introduces a technology for offshore pipeline inspection centered on an autonomous robotic system equipped with underwater computer vision and edge-computing capabilities.

This paper presents an efficient mathematical optimization method for well placement that maximizes contact with the productive zones for the best locations in the reservoir.

This paper details the formulation and characterization of a novel nanoparticle system composed of polyethyleneimine and dextran sulfate for direct lithium extraction from bulk oilfield brines in North America.

Intelligent completions could improve many of the world’s oil and gas wells, but not all are suited to the technology. There is another option.

This article is the fourth in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, David Reid, the CTO and CMO for NOV, discusses the evolution and current state of automated drilling systems.

Oil and gas experts encourage human/AI partnerships that can “supercharge” capabilities to create competitive advantages.

Casing deformation has emerged as a major challenge in China’s unconventional oil and gas fields, prompting the development of new solutions to address the issue.

The US supermajor is using one of its lowest-value hydrocarbon products to generate double-digit production increases in its most prolific US asset.

Deploying artificial intelligence across an enterprise requires thinking beyond the pilot.

While new imaging capabilities are rejuvenating old data so explorers can discover hydrocarbons, finding and developing reserves is increasingly complicated.

The floating liquefied natural gas ship Hilli Episeyo, currently offshore Cameroon, is planned for upgrades before redeployment to Argentina.