no code implementations • 17 Feb 2024 • Ademide O. Mabadeje, Michael J. Pyrcz
This study introduces a novel workflow to evaluate the stability of these latent spaces, ensuring consistency and reliability in subsequent analyses.
1 code implementation • 16 Aug 2023 • Ademide O. Mabadeje, Michael J. Pyrcz
Subsurface datasets inherently possess big data characteristics such as vast volume, diverse features, and high sampling speeds, further compounded by the curse of dimensionality from various physical, engineering, and geological inputs.
no code implementations • 9 Dec 2022 • Lei Liu, Javier E. Santos, Maša Prodanović, Michael J. Pyrcz
However, there is a paucity of demonstrated best practice and general guidance on mitigation of spatial nonstationarity with deep learning in the geospatial context.
no code implementations • 23 Sep 2022 • Wendi Liu, Michael J. Pyrcz
Production forecast based on historical data provides essential value for developing hydrocarbon resources.
1 code implementation • 17 Feb 2022 • Jesse R. Pisel, Joshua A. Dierker, Sanya Srivastava, Samira B. Ravilisetty, Michael J. Pyrcz
Herein, we propose a method that does not use geophysical well logs for correlation, but rather uses already picked tops in multiple wells to recommend the depth to the remaining unpicked tops in the wells.
no code implementations • 23 Nov 2021 • Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Hewei Tang, Pengcheng Fu
Moreover, the application is extended for a stress test by adding signal noise to the seismic data, and the workflow results show a robust estimation even with 5\% of noise.
no code implementations • 25 Aug 2021 • Nicholas Khami, Omar Imtiaz, Akif Abidi, Akash Aedavelli, Alan Goff, Jesse R. Pisel, Michael J. Pyrcz
We implement a CycleGAN trained on these two domains to highlight layers in noisy images that can interpolate effectively without significant loss of structure or fidelity.
no code implementations • 17 Aug 2021 • Shankar Padmanabhan, Aidan Petratos, Allen Ting, Kristina Zhou, Dylan Hageman, Jesse R. Pisel, Michael J. Pyrcz
The placement of charging stations in areas with developing charging infrastructure is a critical component of the future success of electric vehicles (EVs).
no code implementations • 6 May 2020 • Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari Viswanathan
At this scale, the fluid properties are affected by nanoconfinement effects due to the increased fluid-solid interactions.