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Utkarsh Sinha
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Proceedings Papers

Managing Liquid Loading Using A Physics Inspired Data-Driven Method

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Prithvi Singh Chauhan, Zhuoran Li, Wenyue Sun, Utkarsh Sinha, Meher Surendra, Varad Sabharwal, Sathish Sankaran
Paper presented at the International Petroleum Technology Conference, February 18–20, 2025
Paper Number: IPTC-24769-MS
https://doi.org/10.2523/IPTC-24769-MS
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View Paper titled, Managing Liquid Loading Using A Physics Inspired Data-Driven Method
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Proceedings Papers

Estimating Water-Gas Ratio in Producing Gas Wells Through Multi-Fidelity Data Assimilation by Integrating Wellbore Physics and Data-Driven Reservoir Models

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Utkarsh Sinha, Sathish Sankaran, Varad Sabharwal, Meher Ravuri, Hardikkumar Zalavadia, Zhuoran Li
Paper presented at the International Petroleum Technology Conference, February 18–20, 2025
Paper Number: IPTC-25005-MS
https://doi.org/10.2523/IPTC-25005-MS
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View Paper titled, Estimating Water-Gas Ratio in Producing Gas Wells Through Multi-Fidelity Data Assimilation by Integrating Wellbore Physics and Data-Driven Reservoir Models
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Proceedings Papers

A New Physics-Based CO 2 EOR Screening Tool for Offshore Applications

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Abdulrahman Abdulwarith, Utkarsh Sinha, Sandarbh Gautam, Birol Dindoruk
Paper presented at the SPE Improved Oil Recovery Conference, April 22–25, 2024
Paper Number: SPE-218235-MS
https://doi.org/10.2118/218235-MS
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View Paper titled, A New Physics-Based CO 2 EOR Screening Tool for Offshore Applications
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Proceedings Papers

Machine Learning-Enhanced Forecasting for Efficient Water-Flooded Reservoir Management

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Utkarsh Sinha, Sandarbh Gautam, Birol Dindoruk, Abdulrahman Abdulwarith
Paper presented at the SPE Improved Oil Recovery Conference, April 22–25, 2024
Paper Number: SPE-218258-MS
https://doi.org/10.2118/218258-MS
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View Paper titled, Machine Learning-Enhanced Forecasting for Efficient Water-Flooded Reservoir Management
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Proceedings Papers

A Data-Driven Journey into Liquid Loading Detection and Prediction

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Utkarsh Sinha, Prithvi Singh Chauhan, Hardikkumar Zalavadia, Arsalan Adil, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218841-MS
https://doi.org/10.2118/218841-MS
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View Paper titled, A Data-Driven Journey into Liquid Loading Detection and Prediction
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Proceedings Papers

Physics-Augmented Data Driven Method to Detect and Quantify the Impact of Well Interference

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Utkarsh Sinha, Prithvi Singh Chauhan, Hardikkumar Zalavadia, Varad Sabharwal, Sathish Sankaran, Clark Chen
Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216983-MS
https://doi.org/10.2118/216983-MS
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View Paper titled, Physics-Augmented Data Driven Method to Detect and Quantify the Impact of Well Interference
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Proceedings Papers

Physics Informed Data-Driven Models for Discovery of Flow Physics and Forecasts in Unconventional Reservoirs

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Hardikkumar Zalavadia, Utkarsh Sinha, Prithvi Singh, Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3858897-MS
https://doi.org/10.15530/urtec-2023-3858897
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View Paper titled, Physics Informed Data-Driven Models for Discovery of Flow Physics and Forecasts in Unconventional Reservoirs
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Proceedings Papers

Unconventional Well Interference Detection Using Physics Informed Data-Driven Model

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Utkarsh Sinha, Prithvi Singh Chauhan, Hardikkumar Zalavadia, Sathish Sankaran, Clark Chen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3854683-MS
https://doi.org/10.15530/urtec-2023-3854683
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View Paper titled, Unconventional Well Interference Detection Using Physics Informed Data-Driven Model
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Proceedings Papers

Improving Artificial Lift Timing, Selection, and Operations Strategy Using a Physics Informed Data-Driven Method

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Hardikkumar Zalavadia, Prithvi Singh, Utkarsh Sinha, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864002-MS
https://doi.org/10.15530/urtec-2023-3864002
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View Paper titled, Improving Artificial Lift Timing, Selection, and Operations Strategy Using a Physics Informed Data-Driven Method
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Proceedings Papers

Discovery of Unconventional Reservoir Flow Physics for Production Forecasting Through Hybrid Data-Driven and Physics Models

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Hardikkumar Zalavadia, Utkarsh Sinha, Prithvi Singh, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213004-MS
https://doi.org/10.2118/213004-MS
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View Paper titled, Discovery of Unconventional Reservoir Flow Physics for Production Forecasting Through Hybrid Data-Driven and Physics Models
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Proceedings Papers

Real Time Artificial Lift Timing and Selection Using Hybrid Data-Driven and Physics Models

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Hardikkumar Zalavadia, Metin Gokdemir, Utkarsh Sinha, Prithvi Singh, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213040-MS
https://doi.org/10.2118/213040-MS
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View Paper titled, Real Time Artificial Lift Timing and Selection Using Hybrid Data-Driven and Physics Models
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Proceedings Papers

Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs

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Utkarsh Sinha, Hardikkumar Zalavadia, Prithvi Singh Chauhan, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212981-MS
https://doi.org/10.2118/212981-MS
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View Paper titled, Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs
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Proceedings Papers

Optimizing Artificial Lift Timing and Selection Using Reduced Physics Models

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Hardikkumar Zalavadia, Metin Gokdemir, Utkarsh Sinha, Sathish Sankaran
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 17–19, 2023
Paper Number: SPE-213089-MS
https://doi.org/10.2118/213089-MS
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View Paper titled, Optimizing Artificial Lift Timing and Selection Using Reduced Physics Models
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Proceedings Papers

Physics Guided Data Driven Model to Forecast Production Rates in Liquid Wells

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Utkarsh Sinha, Hardikkumar Zalavadia, Sathish Sankaran
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 17–19, 2023
Paper Number: SPE-213103-MS
https://doi.org/10.2118/213103-MS
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View Paper titled, Physics Guided Data Driven Model to Forecast Production Rates in Liquid Wells
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Journal Articles

Physics Augmented Correlations and Machine Learning Methods to Accurately Calculate Dead Oil Viscosity Based on the Available Inputs

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Utkarsh Sinha, Birol Dindoruk, Mohamed Y. Soliman
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 27 (05): 3240–3253.
Paper Number: SPE-209610-PA
https://doi.org/10.2118/209610-PA
Published: 12 October 2022
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View articletitled, Physics Augmented Correlations and Machine Learning Methods to Accurately Calculate Dead Oil Viscosity Based on the Available Inputs
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Proceedings Papers

Using Hybrid Models for Unconventional Production Opportunities and Value Generation – Case Studies

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Hardikkumar Zalavadia, Trevor Stoddard, Utkarsh Sinha, Andrew Corman, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3724117-MS
https://doi.org/10.15530/urtec-2022-3724117
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Proceedings Papers

An Improved Method for GOR Forecasting in Unconventionals

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Hardikkumar Zalavadia, Utkarsh Sinha, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723189-MS
https://doi.org/10.15530/urtec-2022-3723189
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View Paper titled, An Improved Method for GOR Forecasting in Unconventionals
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Journal Articles

Prediction of CO 2 Minimum Miscibility Pressure Using an Augmented Machine-Learning-Based Model

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Utkarsh Sinha, Birol Dindoruk, Mohamed Soliman
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 26 (04): 1666–1678.
Paper Number: SPE-200326-PA
https://doi.org/10.2118/200326-PA
Published: 11 August 2021
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View articletitled, Prediction of CO 2 Minimum Miscibility Pressure Using an Augmented Machine-Learning-Based Model
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Includes: Supplementary Content
Proceedings Papers

Sustaining Oil and Gas Fields by Using Multiphase Gas Compression to Increase Production and Reserves, and Lower Operating Costs and Environmental Emissions Footprint

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Robert A Perry, Jeremy M Pitts, Andrei M Strikovski, Utkarsh Sinha
Paper presented at the Offshore Technology Conference, August 16–19, 2021
Paper Number: OTC-31072-MS
https://doi.org/10.4043/31072-MS
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View Paper titled, Sustaining Oil and Gas Fields by Using Multiphase Gas Compression to Increase Production and Reserves, and Lower Operating Costs and Environmental Emissions Footprint
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Proceedings Papers

Prediction of CO 2 Minimum Miscibility Pressure MMP Using Machine Learning Techniques

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Utkarsh Sinha, Birol Dindoruk, Mohamed Soliman
Paper presented at the SPE Improved Oil Recovery Conference, August 31–September 4, 2020
Paper Number: SPE-200326-MS
https://doi.org/10.2118/200326-MS
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View Paper titled, Prediction of CO 2 Minimum Miscibility Pressure MMP Using Machine Learning Techniques
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