Data & Analytics
Switching from continuous circulation to cyclic huff-‘n’-puff operation in enhanced geothermal systems can significantly delay thermal breakthrough, sustain higher production temperatures, and improve long-term economic performance.
The two companies say they plan to work together to use agentic AI to increase the capabilities of technical experts.
This article is the first in a Q&A series from the SPE Methane Emissions Management Technical Section (MEMTS) on methane intelligence and how oil and gas teams translate emissions data into credible decisions and measurable reductions.
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The complete paper describes some of the technical challenges faced in deepwater operations and the methodology adopted for implementing an integrated production surveillance and optimization (IPSO) system to mitigate the risks.
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Threats to cybersecurity continue to increase in number and appear from unexpected new angles because of increasing sophistication of cyberattacks. A novel methodology is required not only to protect data but also to achieve safe and reliable operations at sea.
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CNH President Juan Carlos Zepeda discusses the role of information management in Mexican energy reform and what lies ahead for the monumental industry transformation in an election year.
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New state-of-the-art center aims to strengthen regional cybersecurity preparedness for industrial and critical infrastructure.
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The adoption of emerging technologies is essential for all businesses, and even more important for well-established industries because of the perpetual threat of disruption from competitors.
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Considering the significant weight of drilling costs in upstream ventures, saving even a few hours of drilling could lead to substantial cost savings on the overall capital expenditures (Capex). Thanks to the big data revolution, cost optimization still has strong potential in drilling operations.
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The papers selected for this issue cover advances and opportunities in well testing. They also apply reservoir fundamentals as well as sound engineering judgment, using quantity but also quality data sets from conventional and unconventional assets.
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The purpose of the complete paper is to create a performance-based reservoir characterization by use of production data (measured rates and pressures) from a selected gas-condensate region within the Eagle Ford Shale.
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Drilling relies on complex webs of wired machines generating enormous amounts of data that need to be shared. But getting the appropriate data in the right hands is a problem.
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Optimizing the design, function, and benefits of the logical cyber-representation of physical asset environments is an evolving trend for the oil and gas industry to gain operational efficiency.