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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Machine-learning methods have gained tremendous attention in the last decade. The underlying idea behind machine learning is that computers can identify patterns and learn from data with minimal human intervention. This is not very different from the notion of automatic history matching. -
In collaboration with Stanford University and Brown University, Google explores how existing knowledge in an organization can be used as noisier, higher-level supervision—or, as it is often termed, weak supervision—to quickly label large training data sets.
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With new digital platforms and technologies driving the industry in the near future, organizations are examining the ways in which their established work flows may help or hinder their ability to adopt and adapt.
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Blockchain, the underlying technology behind the sensational Bitcoin, could profoundly affect the oil and gas industry by cutting down on operational time and costs while also introducing more transparency to the industry.
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Data from the UK Oil and Gas Authority’s new data repository cover 12,500 offshore wellbores, 5,000 seismic surveys, and 3,000 pipelines.
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Like a fast-declining oil well, the value of propriety software is short-lived. Technological advances drive down the value of programs, many of which were never unique.
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Robots have been a part of industrial production for decades, but the interface between humans and robots has changed as automation technologies increased in complexity, scope, and scale. Once a novelty, collaborative robots are projected to become a significant element of the automation landscape.
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While both are raw resources, data is reusable. A CERAWeek panel said infrastructure and cultural change are needed to drive the transformative value of data.
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Scientists at the National Oceanographic Centre have released a review of how marine robotic capabilities can support the environmental monitoring needed for decommissioning oil and gas installations.
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HSE data is ever growing, especially in high-risk industries. So, how can you apply data science and artificial intelligence to help see beyond current practices and gain even greater insights into safety data?
