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Siddharth Misra

Texas A&M University

SCHOLARLY PAPERS

16

DOWNLOADS

1,433

TOTAL CITATIONS

2

Scholarly Papers (16)

1.

Deep Learning Assisted Extremely Low-Dimensional Representation of Subsurface Earth

Number of pages: 30 Posted: 22 Aug 2022
Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, ConocoPhillips and affiliation not provided to SSRN
Downloads 295 (256,720)
Citation 2

Abstract:

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VQ-VAE, Variational Inference, autoencoders, Vector Quantization, compression

2.

Machine Learning for Gas Leak Detection and Forecasting

Number of pages: 30 Posted: 13 May 2024
Jacob Enerio, Minhyuk Kim, Catherine Duong and Siddharth Misra
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Texas A&M University
Downloads 274 (277,355)

Abstract:

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gas, Leak, Regression, Detection, machine learning, Methane

3.

Transfer Learning for Geological Carbon Storage Forecasting Using Neural Operator

Number of pages: 35 Posted: 28 Dec 2023
Andres Nunez, Siddharth Misra and Yusuf Falola
Texas A&M University, Texas A&M University and Texas A&M University
Downloads 117 (608,822)

Abstract:

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Fourier Neural Operators, Transfer Learning, Geological Carbon Storage, Rapid Forecasting

4.

Ai-Driven Gas Lift Optimization for Enhanced Production in Mature Fields

Number of pages: 28 Posted: 19 Aug 2025
Texas A&M University, affiliation not provided to SSRN, affiliation not provided to SSRN and Texas A&M University at Qatar
Downloads 83 (790,029)

Abstract:

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Gas lift optimization, Production Engineering, Machine learning, Artificial Lift

5.

Causal Signatures of Fracture Propagation: When Causal Inferencing Meets Machine Learning

Number of pages: 48 Posted: 26 Jun 2024
Rui Liu and Siddharth Misra
affiliation not provided to SSRN and Texas A&M University
Downloads 79 (816,709)

Abstract:

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Fracture Propagation, Crack Growth Signature, Machine Learning, Causal Inference, Waveform Analysis

6.

Residual Trapping and Solubility Trapping in Geological Carbon Storage

Number of pages: 29 Posted: 24 Aug 2024
Texas A&M University, Texas A&M University, affiliation not provided to SSRN, affiliation not provided to SSRN, Aramco Americas, Aramco Americas, Aramco Americas and Saudi Aramco
Downloads 68 (907,769)

Abstract:

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Carbon dioxide storage, saline aquifers, trapping mechanisms, solubility trapping, residual trapping, sensitivity analysis

7.

Transfer Learning with Fourier Neural Operator for Geological Carbon Storage Forecasting in Diverse Geological and Engineering Scenarios

Number of pages: 55 Posted: 22 Aug 2024
Yusuf Falola, Siddharth Misra and Andres Nunez
affiliation not provided to SSRN, Texas A&M University and affiliation not provided to SSRN
Downloads 68 (891,180)

Abstract:

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Geological Carbon Storage, Fourier Neural Operator, Transfer Learning, Forecasting, Carbon Storage

8.

Rapid Production Forecasting for Heterogeneous Gas-Condensate Shale Reservoir

Number of pages: 12 Posted: 22 Feb 2024
Texas A&M University, Texas A&M University, Texas A&M University, Aramco Americas and Aramco Americas
Downloads 66 (916,100)

Abstract:

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Machine learning, Production forecasting, Shale gas, Unconventionals, Data Compression, Reservoir Simulation

9.

Ai-Driven Rapid Forecasting of Co2 Plume Migration and Trapping Efficiency in Geological Carbon Storage

Number of pages: 17 Posted: 29 Jul 2025
Oluwasanmi Talabi, Guodong Ren and Siddharth Misra
affiliation not provided to SSRN, affiliation not provided to SSRN and Texas A&M University
Downloads 57 (989,921)

Abstract:

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Carbon storage, Plume extent, CO2 trapping, Deep Learning, LSTM

10.

Transfer Learning for Geological Carbon Storage Forecasting Using Neural Operator

Number of pages: 35 Posted: 20 Dec 2023
Andres Nunez, Siddharth Misra and Yusuf Falola
affiliation not provided to SSRN, Texas A&M University and Texas A&M University
Downloads 56 (1,000,027)

Abstract:

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Fourier Neural Operators, Transfer Learning, Geological Carbon Storage, CO2 Rapid Forecasting

11.

Time-Lapse Monitoring of the Dynamic Geological Carbon Storage Using Unsupervised Spatiotemporal Clustering

Number of pages: 39 Posted: 07 Jul 2022
Keyla Gonzalez and Siddharth Misra
Texas A&M University and Texas A&M University
Downloads 55 (1,010,164)

Abstract:

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Carbon Storage, Unsupervised learning, Spatiotemporal, Sequestration, Monitoring

12.

Incorporating Variable Injection Strategies for Forecasting CO2 Plume Extent in Saline Aquifers: A Comparative Deep Learning Study

Number of pages: 25 Posted: 23 Oct 2025
Oluwasanmi Talabi, Guodong Ren and Siddharth Misra
affiliation not provided to SSRN, affiliation not provided to SSRN and Texas A&M University
Downloads 53 (1,041,696)

Abstract:

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Carbon Storage, Plume extent, Hybrid-Modeling, Deep Learning, LSTM

13.

Machine Learning Assisted Gas Lift Optimization to Eliminate Interventions and Accelerate Operations

Number of pages: 28 Posted: 20 Aug 2024
affiliation not provided to SSRN, Texas A&M University, Texas A&M University at Qatar, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 48 (1,086,013)

Abstract:

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Gas lift optimization, Machine Learning, accelerate production, artificial lift, eliminate intervention, Production Optimization

14.

Leveraging Transfer Learning for Reliable Co2 Storage Forecasting Across Diverse Operational Conditions

Number of pages: 45 Posted: 31 Jul 2024
Yusuf Falola, Siddharth Misra and Andres Nunez
Texas A&M University, Texas A&M University and affiliation not provided to SSRN
Downloads 48 (1,086,013)

Abstract:

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Carbon Storage, Fourier Neural Operators, Transfer Learning, CO2 Forecasting, Variable Operational Conditions

15.

Hydraulic Fracturing-Driven Infrasound Signals – a New Class of Signal for Subsurface Engineering

Number of pages: 14 Posted: 16 Nov 2022
affiliation not provided to SSRN, Texas A&M University, Texas A&M University, Texas A&M University and Texas A&M University
Downloads 46 (1,109,210)

Abstract:

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hydraulic fracturing, microseismic, infrasound, Natural fractures, enhanced geothermal systems

16.

Forecasting Hydrocarbon Production in Unconventional Shale Using Deep Learning and Gradient Boosting

Number of pages: 14 Posted: 21 Apr 2026
Texas A&M University, Texas A&M University, Aramco Americas, Aramco Americas, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University and Texas A&M University
Downloads 20 (1,470,786)

Abstract:

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Production Forecasting, Deep learning, LSTM, CNN, XGBoost, Machine Learning