Management
The expansion project by QatarEnergy will increase LNG production capacity to 142 mtpa when it goes online.
The Nasr-115 expansion project, within ADNOC’s larger Ghasha concession, is part of a development aimed at increasing capacity to 115,000 BOPD by 2027.
The NLR has released its 2025 US Geothermal Market Report, documenting 4 years of industry growth and providing policymakers and stakeholders with an updated overview of the US geothermal market.
-
Murphy Oil’s Hai Su Vang (Golden Sea Lion) appraisal well reinforces the commerciality of the 2025 discovery. -
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.
-
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.
-
This paper describes a data-driven well-management strategy that optimizes condensate recovery while preserving well productivity.
-
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.
-
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.
-
This study illustrates the new capabilities, tailored for CO₂ storage applications, of a modeling framework that provides a quantitative, risk-based assessment of the long-term integrity of legacy plugged and abandoned wells.
-
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.
