Unconventional/complex reservoirs
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
Output is rising fast in the South American shale play and putting Argentina on a course to soon reach 1 million B/D.
This case study presents a procedure in which the operator compared production from wells with adjusted wettability to a control group, finding that the adjustments resulted in significant improvements in production and reductions in produced water.
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The US onshore business is looking flat at the moment, though these sorts of predictions are prone to sudden shifts. -
Dos Caminos joint venture additions will be capable of delivering 2.0 Bcf/D of natural gas.
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Private-equity producer adds over 160,000 acres in Wyoming’s Powder River Basin oil play.
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A decade ago, SPE defined key R&D and technology challenges for the industry. To address the more uncertain environment of the 2020s and beyond, we have updated the grand challenges via a January 2023 SPE workshop.
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The objective of this study was to establish an efficient optimization work flow to improve vertical and areal sweep in a sour-gas injection operation, thereby maximizing recovery under operation constraints.
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The objective of this paper is to present a fundamentals-based model of three-phase flow consistent with observation that avoids the pitfalls of conventional models such as Stone II or Baker’s three-phase permeability models.
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As the demand for energy continues to increase, so does the sociopolitical demand that these resources be produced in a sustainable way. This reflective thought has defined this month’s selection of technical papers, each speaking to a different facet of this feature’s theme: unconventional reservoir development for a sustainable energy transition.
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This paper describes natural fractures and their effect on hydrocarbon productivity in the Vaca Muerta shale formation.
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The authors of this paper describe a solution using machine-learning techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement.
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This study catalogs global gas/oil ratio data to identify currently produced light crude oils that could be rendered carbon neutral through the direct-air-capture mechanism.
