well planning
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This guest editorial examines why geothermal projects require a different planning, financing, and development approach than traditional oil and gas projects. -
A shared digital mindset across subsurface, subsea, and drilling and wells is accelerating well planning at Vår Energi.
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This work introduces a novel predictive methodology combining historical metocean data with real-time riser analysis for shallow water dynamically positioned rig operations.
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SponsoredWith operators under pressure to deliver more energy with fewer resources, predictable drilling performance is more important than ever. Discover how a unified digital workflow can turn drilling data into better decisions and consistent execution—providing the foundation for autonomous drilling and more predictable, profitable, and productive wells at scale.
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This paper aims to optimize well trajectories in offshore reservoir development by applying a Pareto-based multiobjective approach.
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This paper presents a reduced physics-based model that accelerates the ability to screen infill-location optimization, using the fast marching method to maximize production for a reservoir with multiple realizations.
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This article from the SPE Research and Development Technical Section offers new insights to how the upstream industry can benefit from the emergence of quantum computing.
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This paper presents the first global application of autonomous drilling in deepwater and the journey to reach optimal drilling parameters, integrating proprietary tools from the project’s business partners.
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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.
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A multidimensional Wiener process approach predicts casing remaining useful life, enabling safe, cost-effective well life extension and repurposing for carbon dioxide injection, CCS, and geothermal applications.
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