Data & Analytics
Aramco says it has saved $770 million over the past 3 years from the $70 million it has invested over the same period in corrosion management technologies.
The deal adds physics-based reservoir modeling and real-time decision workflows to SLB’s digital portfolio.
The paper presents the design and successful field deployment of the first closed-loop hydraulic fracturing program.
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How can AI systems incorporate processes mimicking the slower logic- and causality-based reasoning patterns of the left brain? -
R&D may be the key to the survival of companies as the new economics of the industry take hold.
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Unlike continuous gas injection and water-alternating-gas injection, gas-assisted gravity drainage (GAGD) takes advantage of the natural segregation of reservoir fluids to provide gravity-stable oil displacement.
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This paper presents a method to compare the distribution of hypothesized and realized risks to oil wells described in two data sets that contain free-text descriptions of risks.
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This study shows that dimensionless numbers, together with data-mining techniques, can predict field behavior in terms of recovery factor for sparse data sets.
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Making money on drilling innovation requires finding a technology that solves a significant problem, executing a good plan, and getting out while still ahead.
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Tiny soil samples may contain as many as 300,000 species of microbial life, but a Netherlands-based startup has figured out that between 50 and 200 of them can tell an operator if a drilling location will hold oil and gas reserves.
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To reduce the risk of wells getting “frac hits,” Permian Basin operators around Midland created an information exchange to give them notice of nearby fracturing.
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Supervisory control and data acquisition systems no longer simply monitor operations and produce large volumes of data in static displays, but now collect production data from all operation data sources and contextualize and present them to workers in real time as meaningful, actionable information.
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Public clouds are one of the emerging technologies that are minimizing the cost of processing the big data of the oil and gas industry. Among the hurdles to the wide-scale adoption of the cloud are security and access cost.
