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Tianmin Jiang
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Proceedings Papers

Integrated Reservoir Characterization Using Unsupervised Learning on Nuclear Magnetic Resonance (NMR) T 1 – T 2 Logs

Tianmin Jiang, Ron J. M. Bonnie, Thiago Simoes Correa, Martin C. Krueger, Shaina A. Kelly, Matt S. Wasson
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5047
DOI: https://doi.org/10.30632/SPWLA-5047
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View Paper titled, Integrated Reservoir Characterization Using Unsupervised Learning on Nuclear Magnetic Resonance (NMR) T 1 – T 2 Logs
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Proceedings Papers

Reservoir Producibility Index (RPI) Based on 2D T 1 - T 2 NMR Logs

Ravinath Kausik, Tianmin Jiang, Lalitha Venkataramanan, Albina Mutina, Erik Rylander, Rick Lewis
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-Q
DOI: https://doi.org/10.30632/T60ALS-2019_Q
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View Paper titled, Reservoir Producibility Index (RPI) Based on 2D T 1 - T 2 NMR Logs
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Proceedings Papers

Class-Based Machine Learning for Next-Generation Wellbore Data Processing and Interpretation

Vikas Jain, Po-Yen Wu, Ridvan Akkurt, Brooke Hodenfield, Tianmin Jiang, Yuki Maehara, Vipin Sharma, Aria Abubakar
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-SS
DOI: https://doi.org/10.30632/T60ALS-2019_SS
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View Paper titled, Class-Based Machine Learning for Next-Generation Wellbore Data Processing and Interpretation
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Proceedings Papers

Integrated Reservoir Characterization in Deepwater Gulf of Mexico Using Nuclear Magnetic Resonance (NMR) Factor Analysis and Fluid Substitution

Tianmin Jiang, Jason Gendur, Li Chen, Weixin Xu, Dan Shan, Tom Hall, Tim Wilkinson, Ben Winkelman, Nnadozie Nwosu, Jesus Alberta Cañas, Ron Hayden
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-MM
DOI: https://doi.org/10.30632/T60ALS-2019_MM
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View Paper titled, Integrated Reservoir Characterization in Deepwater Gulf of Mexico Using Nuclear Magnetic Resonance (NMR) Factor Analysis and Fluid Substitution
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Proceedings Papers

An Unsupervised Learning Algorithm To Compute Fluid Volumes From NMR T 1 -T 2 Logs in Unconventional Reservoirs

Lalitha Venkataramanan, Noyan Evirgen, David F. Allen, Albina Mutina, Qun Cai, Andrew C. Johnson, Aaron Y. Green, Tianmin Jiang
Paper presented at the SPWLA 59th Annual Logging Symposium, June 2–6, 2018
Paper Number: SPWLA-2018-Y
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View Paper titled, An Unsupervised Learning Algorithm To Compute Fluid Volumes From NMR T 1 -T 2 Logs in Unconventional Reservoirs
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Proceedings Papers

Toward Accurate Reservoir Characterization From New-Generation NMR Logging

Vivek Anand, Boqin Sun, Laurent Mosse, Albina Mutina, Tianmin Jiang, Ronald L. Brown, Luisa Crousse
Paper presented at the SPWLA 58th Annual Logging Symposium, June 17–21, 2017
Paper Number: SPWLA-2017-BBB
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View Paper titled, Toward Accurate Reservoir Characterization From New-Generation NMR Logging
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Proceedings Papers

Integrated Petrophysical Interpretation of Eagle Ford Shale with 1-D and 2-D Nuclear Magnetic Resonance (NMR)

Tianmin Jiang, Erik Rylander, Philip M. Singer, Richard E. Lewis, Steven M. Sinclair
Paper presented at the SPWLA 54th Annual Logging Symposium, June 22–26, 2013
Paper Number: SPWLA-2013-LL
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View Paper titled, Integrated Petrophysical Interpretation of Eagle Ford Shale with 1-D and 2-D Nuclear Magnetic Resonance (NMR)
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