data analytics
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SponsoredRod lift failure frequency in horizontal wells drives significant operating expenses. Understanding why these failures occur leads to a solution — production optimization with automated setpoint changes, which can extend the life of this equipment and reduce downtime. -
Earlier this year, 19 teams competed in a machine-learning contest held by the Data Analytics Study Group of SPE’s Gulf Coast Section. The was the first competition of its kind for SPE. Here, the organizers of the contest present some of the techniques used and lessons learned from the Machine Learning Challenge 2021.
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Start-and-stop data management initiatives and a mishmash of partial solutions are no longer viable for managing the digital oil field. Data management should be transformed from a cost center to a cash-flow-generating function.
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Expansion of operations in the Permian Basin has spawned a midstream water segment – one that uses data and analysis to enhance efficiency as well as manage produced water volumes.
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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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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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SponsoredTo optimize decision-making, minimize risk, and create value, oil and gas companies can turn to liberated, contextualized data. For exploration or drilling, liberated, contextualized data can help the upstream industry make trustworthy decisions that save time and costs. This paper explains how.
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SponsoredFor surveying, exploration, analytics, and a whole host of processes, liberated, contextualized data tailored to the environments of E&P subsurface will empower confidence, speed, reliability, agility, and most importantly, innovation. This is how Aker BP is doing it.
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The data-driven maintenance program incorporates riser condition, usage, and fatigue analysis with a risk-based inspection process.
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IoT is the next step in the evolution of the oil and gas industry. Changes have already begun in the field installations, in the corner office, and across the oil and gas value chain.
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