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Michael J. Pyrcz

University of Texas at Austin

SCHOLARLY PAPERS

6

DOWNLOADS

303

TOTAL CITATIONS

0

Scholarly Papers (6)

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1.

Anomaly Detection for Geological Carbon Sequestration Monitoring

Number of pages: 30 Posted: 20 Jan 2024
Jose Luis Hernandez Mejia, Matthias Imhof and Michael J. Pyrcz
Government of the United States of America - Pacific Northwest National Laboratory, affiliation not provided to SSRN and University of Texas at Austin
Downloads 89 (759,537)

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Anomaly Detection, Deep Learning, Machine Learning, Carbon Sequestration Monitoring, Subsurface uncertainty

2.

Multi-Horizon Well Performance Forecasting with Temporal Fusion Transformers

Number of pages: 59 Posted: 29 Mar 2023
Eduardo Maldonado Cruz and Michael J. Pyrcz
University of Texas at Austin and University of Texas at Austin
Downloads 80 (809,932)

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Deep learning, Temporal fusion transformer, Machine Learning, Explainable AI, Multi-well forecasting, History Matching

3.

Gen-PINNs: Generative Adversarial Physics Informed Neural Networks for solving partial differential equations

Downloads 59 (1,074,648)

Gen-PINNs: Generative Adversarial Physics Informed Neural Networks for solving partial differential equations

Number of pages: 51 Posted: 18 Apr 2026
Muhammad Muneeb Akmal, Kamy Sepehrnoori and Michael J. Pyrcz
affiliation not provided to SSRN, University of Texas at Austin and University of Texas at Austin
Downloads 47 (1,196,631)

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Physics Informed Neural Networks, Generative Adversarial Networks, Partial Differential Equations, Computational Physics, Deep learning, Scientific Machine Learning

Gen-PINNs: Generative Adversarial Physics Informed Neural Networks for solving partial differential equations

Number of pages: 51 Posted: 13 May 2026
Muhammad Muneeb Akmal, Kamy Sepehrnoori and Michael J. Pyrcz
affiliation not provided to SSRN, University of Texas at Austin and University of Texas at Austin
Downloads 12 (1,621,812)

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4.

Spatiotemporal Shapley Value-Based Pressure Signal Decomposition for Enhanced Geological Carbon Sequestration Monitoring Under Uncertainty

Number of pages: 32 Posted: 03 Aug 2024
Jose Luis Hernandez Mejia and Michael J. Pyrcz
Government of the United States of America - Pacific Northwest National Laboratory and University of Texas at Austin
Downloads 49 (1,086,013)

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Shapley Values, Pressure Decomposition, Game Theory, Geological Carbon Sequestration Monitoring

5.

A Diagnostic Method for Spatiotemporal Analysis of the Impact of Subsurface Reservoir Uncertainty on Dynamic Response Using Shapley values

Number of pages: 30 Posted: 04 May 2026
Suin Choi, Jose Luis Hernandez Mejia, Honggeun Jo and Michael J. Pyrcz
affiliation not provided to SSRN, Government of the United States of America - Pacific Northwest National Laboratory, Inha University and University of Texas at Austin
Downloads 15 (1,518,554)

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Shapley values, Spatiotemporal diagnostic, geological properties, dynamic reservoir response, subsurface uncertainty

6.

Bayesian Updating with Multivariate Machine Learning-based Prior and Spatial Geostatistics-based Likelihood for Posterior Predictions of Unconventional Reservoir Performance

Number of pages: 19 Posted: 15 May 2026
Dinghan Wang, John Foster, Yingda Lu, Andrea Thompson and Michael J. Pyrcz
University of Texas at Austin, University of Texas at Austin, University of Texas at Austin, affiliation not provided to SSRN and University of Texas at Austin
Downloads 11 (1,575,921)

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Bayesian updating, uncertainty model quantification, kriging, spatial geostatistics-based likelihood, multivariate machine learning-based prior, decision-making