Reservoir
The UAE project is expected to produce up to 345 MMscf/D by 2029, with expansion potential to 1 Bcf/D.
This study investigates the potential for in-situ hydrogen generation from hydrocarbons using in-situ combustion, with particular emphasis on the role of kerogen content and heating mode.
This paper presents the application of degradable particulate-diverter technology to improve oil production by effectively diverting stimulation treatment fluids away from high-water-cut, high-permeability, high-temperature producing intervals or zones.
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Dos Caminos joint venture additions will be capable of delivering 2.0 Bcf/D of natural gas. -
Private-equity producer adds over 160,000 acres in Wyoming’s Powder River Basin oil play.
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As the demand for energy continues to increase, so does the sociopolitical demand that these resources be produced in a sustainable way. This reflective thought has defined this month’s selection of technical papers, each speaking to a different facet of this feature’s theme: unconventional reservoir development for a sustainable energy transition.
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This paper describes natural fractures and their effect on hydrocarbon productivity in the Vaca Muerta shale formation.
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The authors of this paper describe a solution using machine-learning techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement.
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This study catalogs global gas/oil ratio data to identify currently produced light crude oils that could be rendered carbon neutral through the direct-air-capture mechanism.
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A new program offers an affordable way to figure out if salt precipitation could be behind underperforming gas wells and suggests a path to higher production.
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Artificial intelligence (AI) and machine learning (ML) technologies have rapidly progressed and have significantly affected traditional reservoir engineering, bringing innovative methodologies to reservoir simulations. However, it is essential to understand that these AI and ML technologies are only as effective and trustworthy as the data they are trained on.
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This paper describes a work flow that integrates data analysis, machine learning, and artificial intelligence to unlock the potential of large relative permeability databases.
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A decade ago, SPE defined key R&D and technology challenges for the industry. To address the more uncertain environment of the 2020s and beyond, we have updated the grand challenges via a January 2023 SPE workshop.
