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This paper highlights the effects of tax credits on business operations for midstream companies in the Permian Basin.

This paper presents a workflow that leverages a multiagent conversational system to integrate data, analytics, and domain expertise for improved completion strategies.

Clear value creation can be seen in drilling activities through advancements in autonomous drilling, robotic technologies, and physics-based AI. The end-to-end completions cycle is now seeing a similar trend.

Findings from two new SPE papers argue that the tight-rock sector needs to rethink longstanding assumptions about how hydraulic fractures form underground.

What makes SPE membership truly worthwhile? Technical resources, professional development, global networking, and industry recognition—SPE membership offers more than meets the eye. In this month’s column, discover how SPE benefits members at every career stage—and why investing in your membership (or your team’s) pays off long-term.

In this study, the authors propose the use of a deep-learning reduced-order surrogate model that can lower computational costs significantly while still maintaining high accuracy for data assimilation or history-matching problems.

This paper demonstrates the effectiveness of integrating dynamic gas separation with existing gas-avoidance methods within the same electrical submersible pump string to address these issues.

This paper introduces a field-deployable, trailer-mounted liquefaction system engineered to convert flared or stranded gas into low-carbon liquefied natural gas.

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The three featured papers illustrate how emerging computational methods—ranging from gradient-based optimization to data-driven proxies—are reshaping reservoir characterization, uncertainty assessment, and real-time decision support across diverse subsurface applications.