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Keywords: decision tree learning
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Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 1–3, 2022
Paper Number: SPE-211921-MS
... operating conditions, a prediction that is not available using existing well performance models. upstream oil & gas machine learning artificial intelligence decision tree learning dataset produced water discharge prediction machine learning algorithm information spe-211921-ms operating...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 1–3, 2022
Paper Number: SPE-212010-MS
... the other Decision tree models that had AUC scores of 0.88 and 0.87. The model can guide early prediction and control of scaling during oil and gas production operations. remediation of hydrates asphaltene remediation asphaltene inhibition decision tree learning oilfield chemistry upstream oil...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 2–4, 2021
Paper Number: SPE-208234-MS
... reservoir fluid viscosity 1 . Hence for an isothermal system and at a particular pressure in the reservoir the viscosity will be dependent on largely the composition. artificial intelligence upstream oil & gas resistance decision tree learning bubble point pressure reservoir simulation...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 6–8, 2018
Paper Number: SPE-193500-MS
...-off opportunities. This approach minimizes the chances of failure and provides useful insights for water and gas shut-off economic decision making. enhanced recovery decision tree learning random variable machine learning conformance improvement profitability index Artificial Intelligence...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, July 31–August 2, 2017
Paper Number: SPE-189171-MS
...-a-vis the overall field/project development. strategic planning and management machine learning risk management decision tree learning Upstream Oil & Gas development well Decision Tree analysis discrete element optimal field development planning cum development well Artificial...
Proceedings Papers

Paper presented at the SPE Nigeria Annual International Conference and Exhibition, August 2–4, 2016
Paper Number: SPE-184326-MS
...% – 40%) was obtained for prospect "S". machine learning decision tree learning stochastic dominance asset and portfolio management criteria EMV Artificial Intelligence Upstream Oil & Gas selection dry hole probability investor risk management investment prospect economics...

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