HSE & Sustainability
A resilience-based approach to safety was the focus of a panel of experts at the 2025 SPE Annual Technical Conference and Exhibition in Houston.
APOGCE 2025 set the stage for strategic dialogues on how Asia Pacific’s upstream industry can innovate, invest, and collaborate to meet growing energy demand while advancing net-zero goals.
The freely accessible online platform is the latest in a series of maps designed to reveal the continent’s untapped geothermal potential.
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This article describes a technology combining a compression unit with a flexible line to offer a flaring alternative for transferring hydrocarbons. -
This paper describes a deep-learning image-processing model that uses videos captured by a specialized optical gas-imaging camera to detect natural gas leaks.
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This paper explores the sustainability and safety aspects of laser perforation with a focus on factors such as water requirement, asset integrity, logistics, safety, and surface footprint.
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This paper describes an intelligent completion system in the context of multiple wells that, by electrifying the process, replaces the conventional electrohydraulic systems that have been in use for decades.
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This paper aims to provide insights to address the challenge of identifying the optimal point within the gas-processing lineup for recovering a high-purity CO₂ stream suitable for sequestration.
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TechnipFMC diver Stuart Cowie shares his 17-year experience working as a saturation diver in the oil and gas industry and how to manage mental health and well-being during the often-isolating work demands.
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The revised report provides upstream oil and gas operators with a framework and guidelines to help select and deploy methane emissions detection and quantification technologies.
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The first phase of the Norwegian project is expected to receive its first carbon dioxide this year, with the second phase slated to start operations in late 2028.
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This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.
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This paper analyses the Global Biodiversity Framework and its relevance to the transitioning energy system, documenting the work that has been completed and that which is still ongoing.
