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Proceedings Papers

Sonic Data Classification Using Supervised Machine-Learning Approach

Ting Lei, Daniel Al Choboq, Josselin Kherroubi, Lin Liang, Romain Prioul
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0105
DOI: https://doi.org/10.30632/SPWLA-2022-0105
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Proceedings Papers

Full-Waveform Inversion of Fiber-Optic VSP Data from Deviated Wells

Olga Podgornova, Pierre Bettinelli, Lin Liang, Joel Le Calvez, Scott Leaney, Marco Perez, Ahmed Soliman
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0012
DOI: https://doi.org/10.30632/SPWLA-2022-0012
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View Paper titled, Full-Waveform Inversion of Fiber-Optic VSP Data from Deviated Wells
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Proceedings Papers

Deep-Directional Resistivity Ranging for Near-Parallel Cased Well in Scenarios Either Vertical or Horizontal to Formation Layers

Yong-Hua Chen, Saad Omar, Lin Liang, Diogo Salim
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0043
DOI: https://doi.org/10.30632/SPWLA-2022-0043
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View Paper titled, Deep-Directional Resistivity Ranging for Near-Parallel Cased Well in Scenarios Either Vertical or Horizontal to Formation Layers
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Proceedings Papers

Precise Localization of Offset Wells Crossed with Deep Directional Resistivity Measurements

Michael Thiel, Haifeng Wang, Yong-Hua Chen, Mikhail Zaslavsky, Lin Liang, Jean-Michel Denichou, Henning Hoeyland, Brian Gallager, Nguyen Xuan Phong
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0051
DOI: https://doi.org/10.30632/SPWLA-2022-0051
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View Paper titled, Precise Localization of Offset Wells Crossed with Deep Directional Resistivity Measurements
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Proceedings Papers

Automatic Logging-While-Drilling Dipole Sonic Shear Processing Enabled by Physics-Driven Machine Learning

Lin Liang, Ting Lei, Matthew Blyth
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0059
DOI: https://doi.org/10.30632/SPWLA-2021-0059
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View Paper titled, Automatic Logging-While-Drilling Dipole Sonic Shear Processing Enabled by Physics-Driven Machine Learning
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Proceedings Papers

Inversion-Based Measurement Interpretation of a New Through-the-Bit OBM Photorealistic Borehole Imager

Yong-Hua Chen, Richard Bloemenkamp, Peter Schlicht, Lin Liang, Laetitia Comparon
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0080
DOI: https://doi.org/10.30632/SPWLA-2021-0080
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View Paper titled, Inversion-Based Measurement Interpretation of a New Through-the-Bit OBM Photorealistic Borehole Imager
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Proceedings Papers

Automatic Facies Classification from Well Logs

Vasileios-Marios Gkortsas, Lin Liang, Yngve Bolstad Johansen, Lalitha Venkataramanan, Harish Datir
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5075
DOI: https://doi.org/10.30632/SPWLA-5075
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Proceedings Papers

Machine Learning Proxy Enabling Interpretation of Wellbore Measurements

Vanessa Simoes, Marianna Dantas, Patrick Pereira Machado, Lin Liang, Horrara Diogenes, Anna Paula Lougon Duarte, Frances Abbots, Manu Singhal, Aloke Saha
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5072
DOI: https://doi.org/10.30632/SPWLA-5072
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View Paper titled, Machine Learning Proxy Enabling Interpretation of Wellbore Measurements
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Proceedings Papers

Machine Learning-Enabled Automatic Sonic Shear Processing

Lin Liang, Ting Lei
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5076
DOI: https://doi.org/10.30632/SPWLA-5076
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Proceedings Papers

A Machine Learning Framework for Automating Well Log Depth Matching

Lin Liang, Thai Le, Timon Zimmermann, Smaine Zeroug, Denis Heliot
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-S
DOI: https://doi.org/10.30632/T60ALS-2019_S
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Proceedings Papers

New Multiphysics, Multiscale Inversion for Imaging Petrophysical Properties in Anisotropic, Laminated Formations

Sushil Shetty, Lin Liang, Qiwei Zhan, Vanessa Simoes, Fábio Canesin, Austin Boyd, Smaine Zeroug, Bikash Sinha, Tarek Habashy, Manu Singhal, Ana Beatriz Guedes, Claudia Amorim, Frances Abbots
Paper presented at the SPWLA 59th Annual Logging Symposium, June 2–6, 2018
Paper Number: SPWLA-2018-III
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View Paper titled, New Multiphysics, Multiscale Inversion for Imaging Petrophysical Properties in Anisotropic, Laminated Formations
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Proceedings Papers

Estimating In-Situ Relative Permeability and Capillary Pressure From Multiphysics Wireline Measurements

Lin Liang, Lalitha Venkataramanan, Shihao Wang, Fábio C. Canesin, Vasileios-Marios Gkortsas, Koksal Cig, Aria Abubakar, Tarek M. Habashy
Paper presented at the SPWLA 59th Annual Logging Symposium, June 2–6, 2018
Paper Number: SPWLA-2018-QQQQ
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View Paper titled, Estimating In-Situ Relative Permeability and Capillary Pressure From Multiphysics Wireline Measurements
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Proceedings Papers

Imaging Near-Wellbore Petrophysical Properties by Joint Inversion of Sonic, Resistivity, and Density Logging Data

Sushil Shetty, Lin Liang, Vanessa Simoes, Fabio Canesin, Austin Boyd, Smaine Zeroug, Bikash Sinha, Tarek Habashy, Ana Beatriz Domingues, Claudia Amorim, Frances Abbots
Paper presented at the SPWLA 58th Annual Logging Symposium, June 17–21, 2017
Paper Number: SPWLA-2017-TT
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View Paper titled, Imaging Near-Wellbore Petrophysical Properties by Joint Inversion of Sonic, Resistivity, and Density Logging Data
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Proceedings Papers

Joint Inversion of Array Induction and Sonic Data for Radial Variations of Porosity and Saturation in Complex Mineralogy

Clive Sirju, Tim Pritchard, Ana Beatriz Guedes, Sushil Shetty, Lin Liang, Vanessa Simoes, Smaine Zeroug, Bikash K. Sinha, Tarek Habashy, Austin Boyd
Paper presented at the SPWLA 56th Annual Logging Symposium, July 18–22, 2015
Paper Number: SPWLA-2015-KK
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View Paper titled, Joint Inversion of Array Induction and Sonic Data for Radial Variations of Porosity and Saturation in Complex Mineralogy
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