Data mining/analysis
This paper addresses the challenges of integrating huge amounts of data and developing model frameworks and systematic workflows to identify opportunities for production enhancement by choosing the best candidate wells.
From the first supercomputer to generative AI, JPT has followed the advancement of digital technology in the petroleum industry. As the steady march of innovation continues, four experts give their views on the state and future of data science in the industry.
This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.
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The oil industry’s rush to capitalize on digital change has scrambled relations with service providers big and small, giving the oil companies a greater say in the process.
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This column is intended to provide a starting point and a roadmap for professionals who want to learn data science and are struggling with the question, “Where do I start?”
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The complete paper uses 3,782 unconventional horizontal wells to analyze the effect of proppant volume and the length of the perforated lateral on short- and long-term well productivity across the Permian Basin.
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Eni and IBM developed a cognitive engine exploiting a deep-learning approach to scan documents, searching for basin geology concepts and extracting information about petroleum system elements.
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Where there are data generated and collected, there is analysis of the data. The ongoing digital transformation in the industry has opened many opportunities for professionals skilled in data analytics.
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Technology company Proserv Controls has formed an alliance with software engineering firm Intelligent Plant in an effort to combine their expertise to improve control systems and data analysis.
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Emerson has launched cloud-native software designed to find opportunities for field development through data mining and automation. The software, called SpeedWise Reservoir Opportunity, was developed in collaboration with Quantum Reservoir Impact.
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The complete paper presents a methodology designed for optimally matching drill bits, mud motors, and bottomhole-assembly components for reduced failure risks and improved drilling performance.
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A recent datathon and the team that took home the grand prize help paint a picture of both the industry’s’ digital transformation and how oil and gas engineers are embracing it to navigate uncertain times.
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Using a European Space Agency satellite, data analytics firm Kayrros pinpointed global locations of methane emissions and recorded a 32% increase in the overall volume of methane emitted from large leaks compared with the first 8 months of 2019.