Data & Analytics
Autonomous drilling through managed pressure drilling (MPD) at the Atlantis field has given the operator confidence to scale the method.
The cloud platform provider said the initiative is designed to help energy companies manage and analyze large-scale operational data.
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
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The complete paper describes a work flow in which wells and production networks in the Cheleken Block offshore Turkmenistan are automatically modeled daily with steady-state and transient tools and ultimately analyzed by the Cheleken Block Central Data Gathering System. -
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 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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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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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.
