Michael J. Pyrcz

According to our database, Michael J. Pyrcz authored at least 19 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating the Stability of Deep Learning Latent Feature Spaces.

Ademide O. Mabadeje, Michael J. Pyrcz

CoRR, 2024

2023

Mitigation of spatial nonstationarity with vision transformers.

Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz

Comput. Geosci., September, 2023

A new methodology using borehole data to measure angular distances between geological interfaces.

Michal P. Michalak, Pawel Marzec, Filip Turobos, Paulina Leonowicz, Leslaw Teper, Pawel Gladki, Michael J. Pyrcz, Mariusz Szubert

Earth Sci. Informatics, September, 2023

Self-Supervised Learning for Seismic Data: Enhancing Model Interpretability With Seismic Attributes.

Jose Julian Salazar, Eduardo Maldonado-Cruz, Jesus Ochoa, Michael J. Pyrcz

IEEE Trans. Geosci. Remote. Sens., 2023

Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation.

Ademide O. Mabadeje, Michael J. Pyrcz

CoRR, 2023

2022

MPLBM-UT: Multiphase LBM library for permeable media analysis.

Javier E. Santos, Alex Gigliotti, Abhishek Bihani, Christopher Landry, Marc Andre Hesse, Michael J. Pyrcz, Masa Prodanovic

SoftwareX, 2022

Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting.

Wendi Liu, Michael J. Pyrcz

CoRR, 2022

A recommender system for automatic picking of subsurface formation tops.

Jesse R. Pisel, Joshua A. Dierker, Sanya Srivastava, Samira B. Ravilisetty, Michael J. Pyrcz

CoRR, 2022

2021

Machine learning-based porosity estimation from spectral decomposed seismic data.

Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Hewei Tang, Pengcheng Fu

CoRR, 2021

Optimizing Oil and Gas Acquisitions Using Recommender Systems.

Harsh Kumar, Geneva Allison, Jehil Mehta, Jesse R. Pisel, Michael J. Pyrcz

CoRR, 2021

StackGAN: Facial Image Generation Optimizations.

Badr Belhiti, Justin Milushev, Avinash Gupta, John Breedis, Johnson Dinh, Jesse R. Pisel, Michael J. Pyrcz

CoRR, 2021

Automatic Feature Highlighting in Noisy RES Data With CycleGAN.

Nicholas Khami, Omar Imtiaz, Akif Abidi, Akash Aedavelli, Alan Goff, Jesse R. Pisel, Michael J. Pyrcz

CoRR, 2021

Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning.

Aidan Petratos, Allen Ting, Shankar Padmanabhan, Kristina Zhou, Dylan Hageman, Jesse R. Pisel, Michael J. Pyrcz

CoRR, 2021

Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media.

Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers

CoRR, 2021

2020

Modeling nanoconfinement effects using active learning.

Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan

CoRR, 2020

2019

A comparison of clustering algorithms applied to fluid characterization using NMR T₁-T₂ maps of shale.

Han Jiang, Hugh Daigle, Xiao Tian, Michael J. Pyrcz, Chris Griffith, Boyang Zhang

Comput. Geosci., 2019

2018

Conditioning 3D object-based models to dense well data.

Yimin C. Wang, Michael J. Pyrcz, Octavian Catuneanu, Jeff B. Boisvert

Comput. Geosci., 2018

2009

ALLUVSIM: A program for event-based stochastic modeling of fluvial depositional systems.

Michael J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch

Comput. Geosci., 2009

2008

A library of training images for fluvial and deepwater reservoirs and associated code.

Michael J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch

Comput. Geosci., 2008