... from this multi-year (8 years and ongoing) deployment should provide valuable insights to those planning to deploy AI software at scale, at the edge. artificial intelligence upstream oil & gas data quality united states government onepetro exhibition real time system thetford behounek...

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... characterization assumption soliman information frequency drillstem testing data quality fracture closure exhibition equation wavelet transform Introduction The basic concept of classical methods of closure event detection from pressure decay of the diagnostic fracture injection test (DFIT...

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... with standardized and known calculations consistently through automated workflows that measure uncertainty to assess data quality and accuracy for decision-making. The solution required collaborative business process interaction within users to define and agree on the identified opportunities and compensation...

... January 2013. Second, the evaluation of data derivatives by Bayesian inference. The use of Bayesian methods provides two advantages: 1) a distribution of non-unique results enables us to visualize uncertainty due to data quality, and 2) automatic hyperparameter optimization, which in this case...

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... by analyzing fracture and formation behavior of the treatment and enhancing decision-making during execution, by providing real-time indications of fracture behavior. hydraulic fracturing drillstem/well testing pressure transient analysis drillstem testing data quality pressure transient testing...

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... of the dynamic fracture behavior also the characteristics of the reservoir. Unlike many other diagnostic techniques, this data-driven approach requires minimum input/data for analysis. This approach also lends itself to real-time application quite easily. real time system hydraulic fracturing data...

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