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With 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.
The shale revolution, the Paris Agreement, and the global pandemic each transformed energy markets. Now, industry leaders say energy pragmatism is emerging.
This article from the SPE Integrated Reservoir Management Technical Section (IRMTS) examines the closed-loop IRM approach, from insight to execution to learning, and the limits of technology-driven solutions.
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Imaging carbonate rocks at high resolution without losing scale has long been a challenge. A novel framework is introduced that enables accurate super-resolution and extrapolation of carbonate rock images, enhancing micro-CT images while preserving mineralogical and topological features for more reliable pore-scale analysis and flow simulations. -
As Egypt’s largest oil and gas investor, Eni is ramping up its 2026–2027 drilling campaign with new investments cross the Mediterranean offshore, Nile Delta, Western Desert, and offshore Sinai to strengthen the country’s role as a regional gas and LNG export hub.
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The industry is no longer short of measurements; the real challenge is converting them into timely reservoir decisions that protect value. That challenge is becoming more urgent as the industry depends increasingly on mature fields and existing infrastructure. The selected papers show how this need is being addressed across different producing regions.
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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 aims to showcase examples of how integrated analysis of surveillance data in the Azeri-Chirag-Gunashli field has improved reservoir understanding and informed reservoir-management decisions.
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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 paper presents an experiment investigating dissolution of basaltic primary minerals and conditions favorable for secondary phase formation under deep subsurface storage conditions.
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This study aims to investigate the efficacy of chemical additives strontium chloride and barium hydroxide in accelerating CO₂ trapping mechanisms, their effect on dissolution of carbonate-bearing minerals, and resulting poroelastic changes in the host rock.
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This guest editorial addresses the many capacities in which oil and gas technical professionals can play a role advancing the energy technologies of tomorrow.
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