Assisted history matching using pattern recognition technology
A Shahkarami, SD Mohaghegh… - … Journal of Oil, Gas …, 2018 - inderscienceonline.com
This study examines the application of pattern recognition technologies to improve the time
and effort required for completing successful history matching projects. The pattern …
and effort required for completing successful history matching projects. The pattern …
A Novel Surrogate Model for Reservoir Simulations Using Fourier Neural Operators
M Kazemi, A Takbiri-Borujeni, H Nouroizeh… - SPE Annual Technical …, 2023 - onepetro.org
This paper presents a novel approach using deep learning to address the computational
challenges associated with direct numerical simulation (DNS) in reservoir management for …
challenges associated with direct numerical simulation (DNS) in reservoir management for …
A Novel ML Model for Numerical Simulations Leveraging Fourier Neural Operators
A Takbiri-Borujeni, M Kazemi… - ICLR 2024 Workshop on …, 2024 - openreview.net
Numerical simulations for reservoir management for energy recovery optimization involve
solving partial differential equations across numerical grids, providing detailed insights into …
solving partial differential equations across numerical grids, providing detailed insights into …
[PDF][PDF] SPE 173405-MS
This study aims to examine the application of pattern recognition technologies to improve
the time and efforts required for completing a successful history matching project. The …
the time and efforts required for completing a successful history matching project. The …