Michael J. Pyrcz

25 papers Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anisotropic resistivity inversion and multiple core data assimilation using physics-guided neural network for improved petrophysical interpretation and uncertainty quantification. Comput. Geosci. Misael M. Morales, Oriyomi Raheem, Michael J. Pyrcz, Carlos Torres-Verdín
2025	J	`jnl`	Anisotropic resistivity estimation and uncertainty quantification from borehole triaxial electromagnetic induction measurements: Gradient-based inversion and physics-informed neural network. Comput. Geosci. Misael M. Morales, Ali Eghbali, Oriyomi Raheem, Michael J. Pyrcz, Carlos Torres-Verdín
2025	J	`jnl`	PointSSIM: A novel low dimensional resolution invariant image-to-image comparison metric. CoRR Oscar Ovanger, Ragnar Hauge, Jacob Skauvold, Michael J. Pyrcz, Jo Eidsvik
2025	J	`jnl`	Spatial bagging for predictive machine learning uncertainty quantification. Comput. Geosci. Fehmi Özbayrak, John T. Foster, Michael J. Pyrcz
2024	J	`jnl`	Evaluating the Stability of Deep Learning Latent Feature Spaces. CoRR Ademide O. Mabadeje, Michael J. Pyrcz
2024	J	`jnl`	Spatial bagging to integrate spatial correlation into ensemble machine learning. Comput. Geosci. Fehmi Özbayrak, John T. Foster, Michael J. Pyrcz
2023	J	`jnl`	A new methodology using borehole data to measure angular distances between geological interfaces. Earth Sci. Informatics Michal P. Michalak, Pawel Marzec, Filip Turobos, Paulina Leonowicz, Leslaw Teper, Pawel Gladki, Michael J. Pyrcz, Mariusz Szubert
2023	J	`jnl`	Mitigation of spatial nonstationarity with vision transformers. Comput. Geosci. Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
2023	J	`jnl`	Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation. CoRR Ademide O. Mabadeje, Michael J. Pyrcz
2023	J	`jnl`	Self-Supervised Learning for Seismic Data: Enhancing Model Interpretability With Seismic Attributes. IEEE Trans. Geosci. Remote. Sens. Jose Julian Salazar, Eduardo Maldonado-Cruz, Jesus Ochoa, Michael J. Pyrcz
2022	J	`jnl`	A recommender system for automatic picking of subsurface formation tops. CoRR Jesse R. Pisel, Joshua A. Dierker, Sanya Srivastava, Samira B. Ravilisetty, Michael J. Pyrcz
2022	J	`jnl`	MPLBM-UT: Multiphase LBM library for permeable media analysis. SoftwareX Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc Andre Hesse, Michael J. Pyrcz, Masa Prodanovic
2022	J	`jnl`	Mitigation of Spatial Nonstationarity with Vision Transformers. CoRR Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz
2022	J	`jnl`	Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting. CoRR Wendi Liu, Michael J. Pyrcz
2021	J	`jnl`	Automatic Feature Highlighting in Noisy RES Data With CycleGAN. CoRR Nicholas Khami, Omar Imtiaz, Akif Abidi, Akash Aedavelli, Alan Goff, Jesse R. Pisel, Michael J. Pyrcz
2021	J	`jnl`	Machine learning-based porosity estimation from spectral decomposed seismic data. CoRR Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Hewei Tang, Pengcheng Fu
2021	J	`jnl`	Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. CoRR Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers
2021	J	`jnl`	Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning. CoRR Aidan Petratos, Allen Ting, Shankar Padmanabhan, Kristina Zhou, Dylan Hageman, Jesse R. Pisel, Michael J. Pyrcz
2021	J	`jnl`	Optimizing Oil and Gas Acquisitions Using Recommender Systems. CoRR Harsh Kumar, Geneva Allison, Jehil Mehta, Jesse R. Pisel, Michael J. Pyrcz
2021	J	`jnl`	StackGAN: Facial Image Generation Optimizations. CoRR Badr Belhiti, Justin Milushev, Avinash Gupta, John Breedis, Johnson Dinh, Jesse R. Pisel, Michael J. Pyrcz
2020	J	`jnl`	Modeling nanoconfinement effects using active learning. CoRR Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan
2019	J	`jnl`	A comparison of clustering algorithms applied to fluid characterization using NMR T Comput. Geosci. Han Jiang, Hugh Daigle, Xiao Tian, Michael J. Pyrcz, Chris Griffith, Boyang Zhang
2018	J	`jnl`	Conditioning 3D object-based models to dense well data. Comput. Geosci. Yimin C. Wang, Michael J. Pyrcz, Octavian Catuneanu, Jeff B. Boisvert
2009	J	`jnl`	ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems. Comput. Geosci. Michael J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch
2008	J	`jnl`	A library of training images for fluvial and deepwater reservoirs and associated code. Comput. Geosci. Michael J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch