Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
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The greenfield data center will be located adjacent to Gore Hill Data Center, an existing data center in Keppel DC REIT's portfolio. -
Recently, AI researchers from Microsoft open-sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine-learning models based on blockchain technologies.
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Cybersecurity firm Dragos has identified a new threat to the oil and gas industry, HEXANE. The company has also released a report assessing the cybersecurity environment in oil and gas.
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Often, I receive questions from colleagues asking for tips on data science and machine learning as applied to petroleum engineering. This column address some of those questions I have collected. Here is my advice on becoming a petroleum engineer and a data science wizard.
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To analyze the status of digital transformation strategies and the pace of implementation in the Middle East, an SPE Applied Technology Workshop brought together operating and service companies and consulting firms for a discussion.
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This paper highlights the results of a test campaign for a tool designed to predict the short-term trends of energy-efficiency indices and optimal management of a production plant.
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The author argues that the advent of cloud technology should not be regarded as a further challenge to security but an opportunity to revitalize and improve a company’s defenses dramatically.
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The value of hidden-danger data stored in text can be revealed through an approach that can help sort and interpret information in an ordered way not used previously in safety management.
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Concern has been growing in the oil and gas industry about the high frequency of mooring line failures. While physical tension sensors can be difficult and costly to maintain, machine learning has shown to be a more-accurate and less-costly method for structural integrity assessment.
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Digital is replacing manual at Sanchez Oil & Gas. Since its implementation in 2017, the company’s Production Maintenance Tracker application has been transforming its operations management by bringing together all the assets, departments, and routes into one hub.
