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In this paper, a hybrid hydraulic-fracture optimization and field development workflow is demonstrated that uses applications of flowback analysis along with other commonly applied multidisciplinary analysis methods.

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 reviews lean construction management processes adopted in the Apani Field development, from facility design to construction management and drilling-location preparation.

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 presents a novel methodology for assessing the rapid mineral carbonation of carbon dioxide through geochemical interactions with carbon-, magnesium-, and iron-rich minerals abundant in geological formations.

This study contributes to enhancing the understanding of scale-inhibitor retention in rock formations.

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.