Data management
Organic data governance emphasizes flexibility, stakeholder engagement, and a culture that values data integrity.
A roundtable discussion during CERAWeek pointed to the necessity of a mindset shift for the oil and gas industry to tap into AI’s true potential.
The authors make the case that data science captures value in well construction when data-analysis methods, such as machine learning, are underpinned by first principles derived from physics and engineering and supported by deep domain expertise.
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Smaller and independent upstream companies often have limited resources for data management. Nonetheless, their data are valuable and must be managed for that value to be realized. Geologists may just be in the perfect position to do the job, if they can get the training. -
The digital repository will use a hybrid cloud architecture to provide subsurface data for the Norwegian Petroleum Directorate.
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SponsoredRead the latest research about data management's role in supporting digital transformation in the upstream industry.
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The market may be different from what we have previously experienced, but the path to a successful digital transformation is durable and the core principles of success have not changed.
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The country expects the digitalization project to promote Egypt’s exploration and production potential worldwide.
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Murphy Oil has created a work flow to normalize the tags it uses when collecting data on its hydraulic fracturing stages. The work flow described here empowers decision makers, who no longer wait for hours to collect data or waste hours cleaning and preparing data for analysis.
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How can the famous Casino-inspired trick for data science, statistics, and all of science be done in Python?
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Over the years, I’ve noticed interesting cultural differences between industrial sectors in their approach to dealing with staff software training. Here, I’ll try to synthesize them into a major insight and expound on the implications.
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Industrial robots are becoming an increasingly popular choice in a variety of industries for different applications. Going by responses to a McKinsey and Company survey, up to 88% of businesses worldwide intend to adopt robotic automation into their infrastructure.
