modeling
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This paper introduces channel stacking, a novel and efficient methodology designed to significantly improve optical gas imaging-based leak detection. -
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
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This paper presents a case study from a mature field redevelopment project where pulsed neutron logging was integrated with advanced reservoir modeling to improve the understanding of fluid-contact dynamics and optimize new horizontal well placement.
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This paper illustrates a case study from a greenfield oil development in Sarawak that is planned for a fit-for-purpose development scope to create value and develop oil resources in a phased manner within 4 years of project framing.
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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 work applies fuzzy logic, a well-established artificial-intelligence technique, to quantitatively assess connectivity between injectors and producers in a giant presalt field in the Santos Basin of Brazil.
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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 article from the SPE Integrated Reservoir Management Technical Section (IRMTS) addresses decisions that look stronger than they are and take longer to implement than the reservoir can afford.
