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.
The authors present an efficient workflow using an embedded discrete fracture model to simulate carbon-dioxide flow by use of conductive faults.
This study aims to thoroughly assess the influence of various completions, fracturing stimulation, and intrinsic reservoir properties affecting the productivity of 10 major unconventional plays while uncovering insights and trends unique to each play
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The US onshore business is looking flat at the moment, though these sorts of predictions are prone to sudden shifts. -
SponsoredIn a partnership with the American Institute of Formation Evaluation, TGS is now the only US data vendor offering report-sourced drillstem tests, available through TGS Well Data Analytics.
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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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Artificial intelligence (AI) and machine learning (ML) technologies have rapidly progressed and have significantly affected traditional reservoir engineering, bringing innovative methodologies to reservoir simulations. However, it is essential to understand that these AI and ML technologies are only as effective and trustworthy as the data they are trained on.
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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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CNPC’s record-breaking 11,100-m exploration borehole in the Taklamakan Desert promises to unlock the science of producing oil and gas trapped in the world’s deepest reservoirs.
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This paper describes a work flow that integrates data analysis, machine learning, and artificial intelligence to unlock the potential of large relative permeability databases.
