Reservoir
EQT is benchmarking its way to basin-leading productivity and relying on partnerships and new technology to turn KPIs into operational reality.
The authors write that deployment of artificial-intelligence-based high-gas/oil ratio well-control technology enabled stabilization of well performance and maintenance of optimal production conditions.
The paper describes the revalidation of a deepwater prospect that resulted in a no-drill decision.
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Previous studies demonstrate that Montney rock samples present a dual-wettability pore network. Recovery of the oil retained in the small hydrophobic pores is uniquely challenging. -
While enhancing oil production from multizone, hydraulically fractured completions in tight reservoirs is not straightforward, recent studies have shown that applications such as gas injection and waterflooding have the potential to create significant improvement in oil recovery.
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This paper presents the performance results from one of the waterflood pilots in the Viewfield Bakken.
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Projections of future production in the Permian Basin may came up short because new wells drilled near older ones are likely to yield less.
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A type curve is a quick way to answer a critical question—what does a typical well produce over time in a given place?
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The authors present the results of a detailed experimental study in which underlying pore-level-displacement physics of two- and three-phase flow in a fractured rock sample is investigated with high-resolution X-ray microtomography techniques.
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This paper discusses a crestal gas-injection project that was carried out in a supergiant heterogeneous-carbonate oil field.
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The authors discuss a new way of extracting deformation information from radar imagery, contributing to improved accuracy of InSAR surface-elevation monitoring.
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Despite a decline in oil and gas production and a decrease in revenue from 2015, an Ernst & Young’s study had a cautiously optimistic outlook as the industry adjusts to what it called “the new normal” of a lower, but stable, oil price.
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PipeFractionalFlow, a spinoff startup from the University of Texas at Austin, uses new theories and equations to make modeling complex multiphase flow more affordable. A model recently developed offers operators an “independent and unbiased” way to validate the system and select candidate wells.
