DSDE: In Practice
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A pilot application using computer vision technology has been created to count and measure the pipe entering the wellbore and detect personnel movement in the red zone during pipe-delivery operations. -
This study describes application of the iterative ensemble Kalman smoother application to a low-permeability coalbed methane field in Australia.
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The authors describe an approach to achieve reliable estimation of field gas initially in place.
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A field test conducted by Yokogawa Electric and JSR resulted in a chemical plant being run autonomously for the first time by artificial intelligence for 35 days.
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The authors of this paper present a method for prediction of sucker-rod-pump failure based on improved, completely connected perceptron artificial neural networks.
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The paper describes a project automating the progressing-cavity-pump well-modeling process wherein models are built and sustained automatically in a well-management system for all active PCP wells.
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The authors describe an integrated multiscale data methodology involving machine-leaning tools applied to the Late Jurassic Upper Jubaila formation outcrop data.
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The authors describe a logging-while-drilling nuclear-magnetic-resonance method applied in Bohai Bay, China, as an alternative to radioactive source-porosity measurements.
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In this work, a methodology to detect interference from long-term pressure and flow-rate data is developed using multiresolution analysis in combination with machine-learning algorithms.
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This paper describes an integrated work flow developed for 3D seismic reservoir characterization of deep and thin layers without sufficient well data in a South China Sea formation.
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