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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE International Oilfield Corrosion Conference and Exhibition, June 16–17, 2021
Paper Number: SPE-205048-MS
.... Using the CI residual data provided by a rapid, accurate analytical method, operators could extend asset life and prevent failures long before they become critical. machine learning upstream oil & gas ppm prevent failure artificial intelligence h2s management extend asset life natural...
Proceedings Papers

Paper presented at the SPE International Oilfield Corrosion Conference and Exhibition, June 16–17, 2021
Paper Number: SPE-205057-MS
.... Key learnings from this review demonstrate the importance of better use of industry plant data to achieve improvements in managing CUI in all innovation disciplines. machine learning pipeline corrosion corrosion inhibition materials and corrosion subsurface corrosion oilfield chemistry...
Proceedings Papers

Paper presented at the SPE International Oilfield Corrosion Conference and Exhibition, June 18–19, 2018
Paper Number: SPE-190895-MS
... and description of observations would be valuable. Using the recent developments in machine learning (ML), image recognition, and object detection this work has investigated the feasibility of using ML on algorithms in recognizing objects and describing their condition. Googles ML framework Tensorflow was used...
Proceedings Papers

Paper presented at the SPE International Conference & Workshop on Oilfield Corrosion, May 28–29, 2012
Paper Number: SPE-152092-MS
... for pipe coating. Finally, the advisory system list recommendations for all types of underbalanced drilling (flow, aerated, foam and mist) to minimize corrosion problems. pipeline corrosion machine learning bayesian inference drilling fluids and materials materials and corrosion upstream oil...
Proceedings Papers

Paper presented at the SPE International Oilfield Corrosion Conference, May 27, 2008
Paper Number: SPE-114078-MS
... degradation. A comparison between the experimental data and the empirical prediction model developed in this work shows a good correlation. Pipeline Corrosion riser corrosion experimental parameter materials and corrosion well integrity total material loss machine learning Subsurface Corrosion...
Proceedings Papers

Paper presented at the SPE International Oilfield Corrosion Conference, May 27, 2008
Paper Number: SPE-114115-MS
... of inhibition chemicals. Pipeline Corrosion riser corrosion data analytic flowline corrosion Artificial Intelligence Upstream Oil & Gas machine learning Subsurface Corrosion modeling variation corrosivity coupon exposure period Inspection data water cut materials and corrosion spe...

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