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Changjae Kim
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Proceedings Papers

A Field Application of Machine Learning for Sonic Log Prediction and In-Situ Stress Estimation in Natural Buttes, Uinta Basin, Utah

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Changjae Kim, Adrian Morales, Darin Oberg, Brooks Black
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220898-MS
https://doi.org/10.2118/220898-MS
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View Paper titled, A Field Application of Machine Learning for Sonic Log Prediction and In-Situ Stress Estimation in Natural Buttes, Uinta Basin, Utah
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Proceedings Papers

Autoforecasting and Minimizing Aggregate Errors in Large Datasets - A Pinedale Field Case Study

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Brooks Black, Darin Oberg, Changjae Kim, Brodee Lee, Allyson Kidwell, Adrian Morales
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044112-MS
https://doi.org/10.15530/urtec-2024-4044112
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View Paper titled, Autoforecasting and Minimizing Aggregate Errors in Large Datasets - A Pinedale Field Case Study
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Proceedings Papers

A Data-Driven Approach to Forecasting Production with Applications to Multiple Shale Plays

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Hao Xiong, Changjae Kim, Jing Fu
Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200365-MS
https://doi.org/10.2118/200365-MS
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View Paper titled, A Data-Driven Approach to Forecasting Production with Applications to Multiple Shale Plays
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