Testing page for app
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The capability of modern wellbore surveying to increase asset value through improved subsurface modeling and completion-equipment placement is being overlooked by managers of operating companies.
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This paper describes a decision-support system that integrates field data, system specifications, and simulation tools to quantify system performance, forecast operational challenges, and evaluate the effect of system modifications in water management.
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The papers featured here highlight how artificial intelligence, carbon management, and risk analytics are redefining the way companies assess and manage their assets in increasingly complex environments.
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This paper presents a study of trapped-torque incidents during drillpipe connection, highlighting contributing factors and root causes and proposing prevention and mitigation measures for these transient events.
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As the industry advances through a pivotal stage of the energy transition, emphasis remains on topics such as carbon capture and storage (CCS), decarbonized operations, digital transformation, and asset integrity—areas driving innovation, operational excellence, and sustainable value within SPE’s evolving technical landscape.
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If there is a key takeaway as 2025 comes to a close, it is the new level of diligence and depth in water-management planning, along with a growing recognition of the need to invest in more complex methods and sophisticated technologies.
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This paper demonstrates that high-purity salts of calcium, magnesium, strontium, sodium, and lithium can be recovered from produced-water brine using a chemical-reaction pathway followed by vacuum-driven crystallization and a lithium-extraction process.
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In this study, a method was developed to analyze the effects of drilling through transitions on bit-cutting structures and construct an ideal drilling strategy using a detailed drilling model.
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This paper describes a machine-learning approach to accurately flag abnormal pressure losses and identify their root causes.
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The authors of this paper aim to design, optimize, and evaluate a scalable and energy-efficient plasma-driven advanced-oxidative-process system for produced-water remediation, emphasizing regulatory compliance for safe discharge or reuse.