Reservoir
Average output reached 13.6 million BOPD, extending a period of sustained growth that has kept the US at the forefront of global oil production.
A report commissioned by Havtil, the Norwegian Ocean Industry Authority, calls for better dialogue regarding pore-pressure uncertainty and higher-end drilling techniques like managed pressure drilling as methods to reduce the risk of well-control events.
The events will be co-located 3–5 May 2027 at Reliant Park in Houston, Texas.
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AIQ, ADNOC, and SLB announced a new software suite that integrates artificial intelligence into reservoir analysis and field development projects. -
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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As production dynamics evolve over the full life cycle of a tight-oil play, a single artificial lift method may not be the most cost-effective solution.
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The authors of this paper present an artificial-lift timing and selection work flow using a hybrid data-driven and physics-based approach that incorporates routinely available pressure/volume/temperature, rate, and pressure information.
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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.
