Asset Management
This article from the SPE Robotics and Autonomous Systems Technical Section (RASTS) explores the insights shared at the recent Offshore Technology Conference (OTC) in Houston about autonomous systems and their role in the industry's future.
The Pinnington project in North Texas is the company’s largest solar project in the state and brings Repsol’s renewable energy generation capacity in the US to greater than 2 GW.
The technology has passed its first phase of qualification, with 84 nodes placed on the seafloor at a depth of 2,000 m to acquire 4D seismic data in the pre-salt Santos Basin.
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The company credited its theory of shale oil enrichment for the significant increase in the quantity of proven reserves at the field. -
TechnipFMC, in collaboration with Halliburton, was awarded the 2025 ICoTA Intervention Technology Award and received the 2025 Curtis Blount Outstanding Paper Award.
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A 25% tariff on steel imported into the US has some US oil and gas companies nervous about future spending plans.
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Amia Morgan, SPE, highlights this event designed to bring together students, young professionals, and seasoned industry experts to foster mentorship, inspire the next generation of STEM leaders, and promote inclusivity.
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Launch of development drilling marks a new milestone as Romania aspires to become EU’s largest gas producer.
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This paper describes an intelligent completion system in the context of multiple wells that, by electrifying the process, replaces the conventional electrohydraulic systems that have been in use for decades.
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In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.
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This study presents a production-optimization method that uses a deep-learning-based proxy model for the prediction of state variables and well outputs to solve nonlinearly constrained optimization with geological uncertainty.
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Updates about global exploration and production activities and developments.
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The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.
