Asset Management
In the fourth development phase, a planned tieback would connect resources from two North Sea discoveries to existing infrastructure at the Johan Sverdrup field, pending project sanction.
This article from the SPE Robotics and Autonomous Systems Technical Section (RASTS) explores the insights shared at the recent Offshore Technology Conference (OTC) in Houston about autonomous systems and their role in the industry's future.
The Pinnington project in North Texas is the company’s largest solar project in the state and brings Repsol’s renewable energy generation capacity in the US to greater than 2 GW.
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The London-headquartered independent acquires position in the US Gulf while preparing Zama for final investment decision. -
Engineering, procurement, construction, and installation awards made at the end of 2025 are expanding Saipem’s role in Turkey’s two largest offshore gas fields, plus Saudi Arabia’s Berri, Abu Safah, and Marjan oil fields and Qatar’s North Field gas giant in the Persian Gulf.
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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.
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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 paper explores the evolving role of the digital petroleum engineer, examines the core technologies they use, assesses the challenges they face, and projects future industry trends.
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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 describes an auto-adaptive workflow that leverages a complex interplay between machine learning, physics of fluid flow, and a gradient-free algorithm to enhance the solution of well-placement problems.
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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.
