Reservoir
The US Department of Energy and Pennsylvania Department of Environmental Protection will convert a horizontal Utica Shale gas well into an enhanced geothermal system. Building directly on horizontal drilling and completion practices developed in the Utica, the project will include evaluation of optimal well orientation, lateral placement, and spacing.
An asset swap with PDVSA helps consolidate the supermajor’s heavy-oil operations in the country.
Co-owner Chevron confirmed the find at the Bandit prospect offshore Louisiana and suggested it may become a subsea tieback to existing faciltiies operated by Occidental Petroleum.
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The authors of this paper write that computationally coupled models enable swift, accurate, and engineered decision-making for optimal asset development. -
BKV Corp. has combined bullhead and liner refracturing methods to create an approach called the hybrid expandable liner system.
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AIQ, ADNOC, and SLB announced a new software suite that integrates artificial intelligence into reservoir analysis and field development projects.
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SponsoredThe Wyoming Gas Injection Initiative (WGII) makes available $22 million of matching funds from the State of Wyoming to implement, in close collaboration with oil and gas operators and Dow, multiple field pilot projects in the State of Wyoming. The Initiative will fund projects over a 3- to 5-year period to support developments with significant potential to enhance wel…
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The nearly $60-billion deal will see ExxonMobil more than double its Permian Basin output to over 1.3 million BOED.
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Permian producers are looking for new places and ways to sustain production in the giant basin.
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The project aims to reimage a 6,400-km2 seismic data set near the recently discovered Baleine field.
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The latest deal from Denver-based Civitas Resources brings its spending total this year to almost $7 billion.
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The authors of this paper describe a procedure that enables fast reconstruction of the entire production data set with multiple missing sections in different variables.
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This paper presents a physics-assisted deep-learning model to facilitate transfer learning in unconventional reservoirs by integrating the complementary strengths of physics-based and data-driven predictive models.
