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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.

Two examples from ONGC show how supervised AI-driven automation scaled well modeling across hundreds of offshore wells, saving more than 1,000 engineering hours.

Examples demonstrate how an Integrated Operations Center as a Service (IOCaaS) model, powered by artificial intelligence, reduced costs by 5% and increased production by 6% in Canada.

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 authors propose a deep-learning-based approach enabling near-real-time CO2-plume visualization and rapid data assimilation incorporating multiple geological realizations for predicting future CO2 plume evolution and area-of-review determination.

Steam-assisted gravity drainage (SAGD) technology continues to advance rapidly, driven by improvements in numerical simulation, inflow-control technologies, fiber-optic monitoring, and real-time production optimization.

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.

In this study, forward simulation is executed by a commercial reservoir simulator while external code is developed for backward calculations.