Testing page for app
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After 5 years of in-depth diagnostic research, the Oklahoma City-based operator shares more insights on fracture behavior. -
This article describes a technology combining a compression unit with a flexible line to offer a flaring alternative for transferring hydrocarbons.
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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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Recently, artificial intelligence (AI), deep learning (DL), and machine learning (ML) have taken natural gas processing and handling on a new trajectory, replacing complex simulation runs.
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SPE technical papers synopsized in each monthly issue of JPT are available for download for SPE members for 2 months. These March and April papers are available now.
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The second annual event included visits from two SPE Distinguished Lecturers and 2024 SPE President Terry Palisch.
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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.
