Asset Management
The Orange Basin and Gulf of Guinea will see most of the high-impact drilling activity planned this year in Africa.
Agreements create long-term frameworks to advance offshore Suriname developments, aiming to streamline project delivery, reduce costs, and accelerate field development through early integration across the project life cycle.
While Uzbekistan has seen a significant drop in flaring, methane leaks from deteriorating infrastructure continue to reveal themselves to satellites in space.
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Following a US military operation to arrest Venezuela’s president, analysts say there is no easy fix for the country’s beleaguered upstream sector. -
The platform brings the field’s installed production capacity to 1.5 million BOPD.
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This paper describes a data-driven well-management strategy that optimizes condensate recovery while preserving well productivity.
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This study identifies critical knowledge gaps in wellbore integrity and underscores areas that require further investigation, providing insights into how wellbores must evolve to meet the technical demands of the energy transition.
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This study illustrates the new capabilities, tailored for carbon-dioxide storage applications, of a modeling framework that provides a quantitative, risk-based assessment of the long-term integrity of legacy plugged and abandoned wells.
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This paper addresses the difficulty in adjusting late-stage production in waterflooded reservoirs and proposes an integrated well-network-design mode for carbon-dioxide enhanced oil recovery and storage.
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Only about one-third of Africa’s discovered hydrocarbon resources have reached commercialization.
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This article is the sixth and final Q&A in a series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this final edition, Matthew T. Balhoff, SPE, of The University of Texas at Austin shares his views on the future of upstream education.
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This paper introduces a system that leverages sophisticated algorithms and user-friendly interfaces to tackle the challenge of developing complex, compartmentalized reservoirs effectively.
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The authors of this paper apply a deep-learning model for multivariate forecasting of oil production and carbon-dioxide-sequestration efficiency across a range of water-alternating-gas scenarios using field data from six legacy carbon-dioxide enhanced-oil-recovery projects.
