Reservoir
As Africa’s top oil producer, Libya is ramping up momentum—offering 22 exploration areas and welcoming BP back to Tripoli with a major deal.
This month’s selections of unconventional technology articles investigate the factors affecting productivity and performance and highlight the need for effective strategies to enhance performance and mitigate impairment issues.
As US shale potentially stares at a production plateau, operators and service providers are turning to smarter tools to extend the life of aging plays.
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The authors write that simple changes in drillstring design can lead to huge savings in a climate that demands continual reductions in well-delivery time and well costs.
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Nabors' RZR-equipped rig has successfully drilled multiple horizontal wells in the Permian Basin.
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The Permian Basin operator said the purchase ‘checks all the boxes’ it looks for in an acquisition.
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Large geological models are needed for modeling the subsurface processes in geothermal, carbon-storage, and hydrocarbon reservoirs. The size of these models contributes to the computational cost of history matching, engineering optimization, and forecasting. To reduce this cost, low-dimensional representations need to be extracted. Deep-learning tools, such as autoenc…
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Seven facilities design and public engagement principles are identified as key elements for the future oil and natural gas production facilities for the DJ Basin, and maybe even as a guide for other North American onshore shale basins.
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The deal upon closing at year-end would expand Marathon’s position in the south Texas shale play by 130,000 net acres.
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This paper presents a numerical simulation work flow, with emphasis on hydraulic fracture simulation, that optimizes well spacing and completion design simultaneously.
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Recent studies have reignited the question of whether US oil and gas companies are ignoring the opportunity to refracture large swaths of maturing assets.
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This paper describes the deployment of an ultradeep electromagnetic directional-resistivity instrument to map injection-water movement.
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The authors discuss the development of a deep-learning model to identify errors in simulation-based performance prediction in unconventional reservoirs.