Reservoir
This study demonstrates how routinely acquired downhole temperature data allows for direct estimation of fluid saturations and delivers more accurate reservoir volume assessments, particularly in aquifer-supported systems.
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The deal adds over 1,000 potential drilling locations and almost doubles oil production for Houston-based Magnolia.
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A fast-moving pressure pulse is the priority of a research and development initiative that, if successful, will result in a new diagnostic technology for horizontal wells in tight reservoirs. -
This paper describes an artificial-lift technology, a subsurface compressor system, that simultaneously removes liquids, increases gas production, and improves recoverable reserves in gas wells.
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In reviewing the long list of papers this year, it has become apparent to me that the hot topic in reservoir simulation these days is the application of data analytics or machine learning to numerical simulation and with it quite often the promise of data-driven work flows—code for needing to think about the physics less.
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A 2-year study of a formation used for saltwater disposal in the Bakken may hold promise of decreasing the pressurization of the formation and increasing the reuse of the briny produced water.
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Applications of particular interest are those addressing challenging well-production needs such as reducing or eliminating liquid loading in gas wells; restimulating existing, underperforming wells, including as an alternative to new well drilling and completion; and remediating water blocking and condensate buildup, both of which can severely impair production from g…
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The authors of this paper propose a new chemical treatment for efficient remediation of water- or hydrocarbon-phase-trapping damage in low-permeability porous media.
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The authors describe the process of building multiple scenario-based models to optimize development planning in preparation for the upcoming production phase of the Ichthys field offshore Australia.
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The authors demonstrate how artificial intelligence and machine learning can help build a purely data-driven reservoir simulation model that successfully history matches dynamic variables for wells in a complex offshore field and that can be used for production forecasting.
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The implementation of fishbone stimulation helped to more than double estimated well productivity and tripled the production rate in a tight carbonate reservoir well compared with conventional stimulation during initial testing.
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When fracturing, simply shooting all the perforations at the same spot in the casing can offer increased production at a low cost.
