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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Traditionally, wireline or logging-while-drilling formation-testing technology has been the most accepted means of reservoir fluid characterization. But when those fluids are contaminated by mud filtrate, acoustic data can be used for fluid characterization during downhole sampling to successfully track and quantify small changes in oil compressibility. -
This paper discusses the field implementation of a downhole chemical methodology that has positively affected overall productivity for a mature Kuwait field.
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This paper presents a comprehensive comparison of two modeling-based approaches of fluid tracking for condensate allocation and gas usage.
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This paper describes a technique used to derive stresses for a gas-storage field and then calibrate the 1D mechanical earth model of the field.
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The authors report that nanopolysilicon can be used effectively as a depressurizing, injection-increasing agent.
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The authors develop and apply a laboratory protocol mimicking leakoff, shut-in, and flowback processes to evaluate the effects of fracturing-fluid additives on oil regained permeability.
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Recent history has taught the unconventional sector that overly optimistic production forecasts can backfire. Going forward, one solution may be to combine financial and subsurface models to better communicate expectations.
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Just as US natural gas prices reach multiyear highs, Chesapeake Energy moves to become this region's largest producer.
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The US Department of Energy’s Office of Fossil Energy and Carbon Management awarded a total of $600,000 to four software developers who won a contest to support FECM’s Science-Informed Machine Learning to Accelerate Real-Time Decisions in the Subsurface Initiative.
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Incremental gains are not always celebrated, but as two of the biggest oil producers in the US show, they nonetheless can net unrealized savings and new efficiencies.
