Unconventional/complex reservoirs
The Middle East’s largest unconventional gas development officially begins production as Saudi Aramco targets 6 million BOE/D of gas and liquids capacity by 2030.
This paper provides an account of the design, implementation, and operational insights from an enhanced geothermal system proppant stimulation targeting a volcanic, dry rock setting with an approximately 330°C bottomhole temperature.
Oman is embarking on a renewed effort to deploy the latest hydraulic fracturing technologies and techniques, tailored to its unique reservoirs and challenges.
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This study evaluates the feasibility of drilling a closed-loop, unconventional geothermal system in the Pannonian Basin basement of Romania. -
The authors describe the effectiveness of an electromagnetic look-ahead service while drilling in terms of providing accurate formation profiles ahead of the bit to optimize geostopping efficiency.
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The paper describes a multientry multistage fracturing technology developed to enable longer laterals, increase stage counts, improve stimulation efficiencies, and derisk operations.
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This work demonstrates that a carefully engineered wireline perforation strategy can address the challenges of long-interval high-pressure/high-temperature completions with large intrareservoir-pressure differentials safely and effectively.
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This paper describes modeling work performed to design fracturing treatment and spacing for wells in the Project Cape enhanced geothermal system in Utah.
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With the Vaca Muerta home to some of the world’s most-productive wells, and the Permian still going strong, if increasingly gassier, Rystad sees shale as resilient.
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The agreement follows the discovery of 724 million BOE in unconventional oil and gas reserves in November.
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The purchase includes approximately 260 producing wells and expands Caturus’ footprint in the Eagle Ford and Austin Chalk.
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The asset sale to an undisclosed buyer includes 360,000 net acres in Oklahoma.
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This study reveals how production-induced depletion and geomechanical stress changes influence child-well performance in the Midland Basin, combining coupled simulations and machine learning to guide optimal well spacing, timing, and placement for infill development.
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