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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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. -
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.
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Photogrammetry—stitching together images to create photorealistic 3D models—can be part of a larger industrial digitalization strategy that aims to liberate data from its silos, connect it to other relevant information, and make it available to the workers who need it.
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The era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multicloud support, machine learning, and real-time analytics.
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Shell is continuing its exploration of blockchain with yet another investment in the technology, this time investing in LO3, a startup using a modified version of the Ethereum blockchain to make it easier for individuals to buy and sell locally produced energy.
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Digital transformation: It’s a phrase that seems to be on the lips of everyone in the oil and gas industry, and that was certainly true at the inaugural Energy in Data conference held in Austin. The conference, however, showed that the transformation is more than on its way. It’s here.
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Firms such as Netflix have had a solid digital transformation strategy. Now, industrial companies, including in the oil and gas sector, are on a similar, if less dramatic, trajectory.
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First developed as a proprietary system by a large Permian Basin operator, this hydraulic fracturing schedule exchange will be run by a data company and opened up to the entire North American shale sector.
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Usually, field engineers manually pick events such as start and end times out of hydraulic-fracturing pumping data. This manual process is time-consuming and prone to error. Now, a Denver-based company is using machine learning to identify these events more accurately and consistently.
