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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Natural gas delivered as LNG to growing economies in Asia has a strong role to play in achieving net zero in carbon emissions, and most of that gas will come from unconventional resources.
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The paper provides insight into managing reserves and resource information during a merger through description of a case study.
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The authors present a countrywide benchmarking of ultimate recovery factor for oil reservoirs in Kuwait.
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The authors write that the deterministic incremental reserve assessment method may mislead investors if used wrongly.
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As the discovery rate of new hydrocarbon resources decreases, the need for more-efficient enhanced-oil-recovery processes increases. Unlike in the past, however, when the efficiency was defined in terms of maximizing the recovery factor (RF), the new interpretation of efficiency is based on optimizing the balance between RF and the reduction of carbon footprint.
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This paper reveals the potential of an in-situ generated gel system designed with a bionanoparticle that has tunable strength and gelation reversibility in porous media for underground applications.
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The newly formed SPE Hydraulic Fracturing Technical Section is working on a project to identify a set of best practices for completions engineers. Once completed, they will be accessible to the entire SPE technical community.
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Mixing dry polymer powder and water to make friction reducer as needed during fracturing can cut the cost of the additive and the testing of whether a drastically simplified recipe performs as well as more-complex mixes.
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This paper analyzes several configurations of convolutional neural networks suited for predicting upscaled fracture permeabilities and shape factors required to close a dual porosity/dual permeability model.