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Vikram Jayaram
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Proceedings Papers

A simultaneous wavefield separation and denoising approach for vertical seismic profile using geometric mode decomposition

Salman Abbasi, Jubran Akram, Andres Chavarria, Vikram Jayaram, Iftekhar Alam, Dmitry Borisov, Yanwei Zhang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101800
https://doi.org/10.1190/image2024-4101800.1
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View Paper titled, A simultaneous wavefield separation and denoising approach for vertical seismic profile using geometric mode decomposition
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Proceedings Papers

A simultaneous denoising and event picking approach using supervised machine learning

Salman Abbasi, Motaz Alfarraj, Dmitry Borisov, Vikram Jayaram, Iftekhar Alam, Bakhtawer Sarosh
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3917108
https://doi.org/10.1190/image2023-3917108.1
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View Paper titled, A simultaneous denoising and event picking approach using supervised machine learning
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Proceedings Papers

Comparison of Numerical LDAR Assessment Methods in Methane Detection Technologies

Shuang Zhang, Vikram Jayaram, Aaron Lazarus, Tianze Qian, Carrie Reese, Sri Sridharan
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3869266-MS
https://doi.org/10.15530/urtec-2023-3869266
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View Paper titled, Comparison of Numerical LDAR Assessment Methods in Methane Detection Technologies
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Proceedings Papers

DAS Recorded Body and Tube Wave Generated by Perforation Shots: Analysis and Numerical Modeling for Completion Monitoring and Reservoir Characterization

Shuang Zhang, Aleksei Titov, Vikram Jayaram, Hector Bello, Robert Hurt, Ge Jin
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5140-MS
https://doi.org/10.15530/urtec-2021-5140
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View Paper titled, DAS Recorded Body and Tube Wave Generated by Perforation Shots: Analysis and Numerical Modeling for Completion Monitoring and Reservoir Characterization
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Journal Articles

Application of Interpretable Machine-Learning Workflows To Identify Brittle, Fracturable, and Producible Rock in Horizontal Wells Using Surface Drilling Data

Ngoc Lam Tran, Ishank Gupta, Deepak Devegowda, Vikram Jayaram, Hamidreza Karami, Chandra Rai, Carl H. Sondergeld
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 23 (04): 1328–1342.
Paper Number: SPE-202486-PA
https://doi.org/10.2118/202486-PA
Published: 12 November 2020
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View article titled, Application of Interpretable Machine-Learning Workflows To Identify Brittle, Fracturable, and Producible Rock in Horizontal Wells Using Surface Drilling Data
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Proceedings Papers

Machine Learning Workflow to Identify Brittle, Fracable and Producible Rock in Horizontal Wells Using Surface Drilling Data

Ngoc Lam Tran, Ishank Gupta, Deepak Devegowda, Hamidreza Karami, Chandra Rai, Vikram Jayaram, Carl Sondergeld
Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201456-MS
https://doi.org/10.2118/201456-MS
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View Paper titled, Machine Learning Workflow to Identify Brittle, Fracable and Producible Rock in Horizontal Wells Using Surface Drilling Data
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Proceedings Papers

Machine learning model interpretability using SHAP values: Application to a seismic facies classification task

David Lubo-Robles, Deepak Devegowda, Vikram Jayaram, Heather Bedle, Kurt J. Marfurt, Matthew J. Pranter
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428275
https://doi.org/10.1190/segam2020-3428275.1
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View Paper titled, Machine learning model interpretability using SHAP values: Application to a seismic facies classification task
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Journal Articles

Looking Ahead of the Bit Using Surface Drilling and Petrophysical Data: Machine-Learning-Based Real-Time Geosteering in Volve Field

Ishank Gupta, Ngoc Tran, Deepak Devegowda, Vikram Jayaram, Chandra Rai, Carl Sondergeld, Hamidreza Karami
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 25 (02): 990–1006.
Paper Number: SPE-199882-PA
https://doi.org/10.2118/199882-PA
Published: 16 April 2020
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View article titled, Looking Ahead of the Bit Using Surface Drilling and Petrophysical Data: Machine-Learning-Based Real-Time Geosteering in Volve Field
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Proceedings Papers

Joint Interpretation of Fiber Optics and Downhole Gauge Data for Near Wellbore Region Characterization

Shuang Zhang, Hewei Tang, Robert Hurt, Vikram Jayaram, Jed Wagner
Paper presented at the SPE Hydraulic Fracturing Technology Conference and Exhibition, February 4–6, 2020
Paper Number: SPE-199715-MS
https://doi.org/10.2118/199715-MS
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View Paper titled, Joint Interpretation of Fiber Optics and Downhole Gauge Data for Near Wellbore Region Characterization
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Proceedings Papers

Machine Learning Regressors and their Metrics to Predict Synthetic Sonic and Brittle Zones

Ishank Gupta, Deepak Devegowda, Vikram Jayaram, Chandra Rai, Carl Sondergeld
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-148-MS
https://doi.org/10.15530/urtec-2019-148
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View Paper titled, Machine Learning Regressors and their Metrics to Predict Synthetic Sonic and Brittle Zones
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Proceedings Papers

Hydraulic Fracturing Stimulation Monitoring with Distributed Fiber Optic Sensing and Microseismic in the Permian Wolfcamp Shale Play

Vikram Jayaram, Robert Hull, Jed Wagner, Shuang Zhang
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-291-MS
https://doi.org/10.15530/urtec-2019-291
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View Paper titled, Hydraulic Fracturing Stimulation Monitoring with Distributed Fiber Optic Sensing and Microseismic in the Permian Wolfcamp Shale Play
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Proceedings Papers

Well Performance Predictions from Geologic, Petrophysical and Completions-Related Parameters Using Generative Topographic Mapping: A Field Case Study

Atish Roy, Tao Zhao, Vikram Jayaram, Deepak Devegowda
Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5916229
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View Paper titled, Well Performance Predictions from Geologic, Petrophysical and Completions-Related Parameters Using Generative Topographic Mapping: A Field Case Study
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Proceedings Papers

TOC Estimation in the Barnett Shale From Triple Combo Logs Using Support Vector Machine

Tao Zhao, Sumit Verma, Deepak Devegowda, Vikram Jayaram
Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5922788
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View Paper titled, TOC Estimation in the Barnett Shale From Triple Combo Logs Using Support Vector Machine
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Proceedings Papers

Receiver Deghosting Method to Mitigate F-K Transform Artifacts: A Non-Windowing Approach

Vikram Jayaram, Dylan Copeland, Carola Ellinger, Charles Sicking, Stu Nelan, Josh Gilberg, Chris Carter
Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5874390
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View Paper titled, Receiver Deghosting Method to Mitigate F-K Transform Artifacts: A Non-Windowing Approach
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Proceedings Papers

Lithofacies Classification in Barnett Shale Using Proximal Support Vector Machines

Tao Zhao, Vikram Jayaram, Kurt J. Marfurt, Huailai Zhou
Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-1210
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View Paper titled, Lithofacies Classification in Barnett Shale Using Proximal Support Vector Machines
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Proceedings Papers

Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models

David Lubo, Vikram Jayaram, Kurt J. Marfurt
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 25–27, 2014
Paper Number: URTEC-1922498-MS
https://doi.org/10.15530/URTEC-2014-1922498
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View Paper titled, Statistical Characterization and Geological Correlation of Wells Using Automatic Learning Gaussian Mixture Models
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Proceedings Papers

Active Learning Algorithms in Seismic Facies Classification

Atish Roy, Vikram Jayaram, Kurt J. Marfurt
Paper presented at the 2013 SEG Annual Meeting, September 22–27, 2013
Paper Number: SEG-2013-0769
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View Paper titled, Active Learning Algorithms in Seismic Facies Classification
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Proceedings Papers

Distance Metric Based Multi-Attribute Seismic Facies Classification to Identify Sweet Spots within the Barnett shale: A Case Study from the Fort Worth Basin, TX

Atish Roy, Vikram Jayaram, Kurt Marfurt
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 12–14, 2013
Paper Number: URTEC-1619856-MS
https://doi.org/10.1190/urtec2013-034
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View Paper titled, Distance Metric Based Multi-Attribute Seismic Facies Classification to Identify Sweet Spots within the Barnett shale: A Case Study from the Fort Worth Basin, TX
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