[图书][B] An introduction to reservoir simulation using MATLAB/GNU Octave: User guide for the MATLAB Reservoir Simulation Toolbox (MRST)

KA Lie - 2019 - books.google.com
This book provides a self-contained introduction to the simulation of flow and transport in
porous media, written by a developer of numerical methods. The reader will learn how to …

Fundamental controls on fluid flow in carbonates: current workflows to emerging technologies

SM Agar, S Geiger - Geological Society, London, Special …, 2015 - lyellcollection.org
The introduction reviews topics relevant to the fundamental controls on fluid flow in
carbonate reservoirs and to the prediction of reservoir performance. The review provides …

A survey of accelerating parallel sparse linear algebra

G Xiao, C Yin, T Zhou, X Li, Y Chen, K Li - ACM Computing Surveys, 2023 - dl.acm.org
Sparse linear algebra includes the fundamental and important operations in various large-
scale scientific computing and real-world applications. There exists performance bottleneck …

Learning large-scale subsurface simulations with a hybrid graph network simulator

T Wu, Q Wang, Y Zhang, R Ying, K Cao… - Proceedings of the 28th …, 2022 - dl.acm.org
Subsurface simulations use computational models to predict the flow of fluids (eg, oil, water,
gas) through porous media. These simulations are pivotal in industrial applications such as …

A fast algorithm for calculating isothermal phase behavior using machine learning

A Kashinath, ML Szulczewski, AH Dogru - Fluid Phase Equilibria, 2018 - Elsevier
Compositional models are frequently used to describe fluids in petroleum reservoir
simulation, particularly for simulations of enhanced oil recovery. While compositional models …

A survey of sparse matrix-vector multiplication performance on large matrices

M Grossman, C Thiele, M Araya-Polo, F Frank… - arXiv preprint arXiv …, 2016 - arxiv.org
We contribute a third-party survey of sparse matrix-vector (SpMV) product performance on
industrial-strength, large matrices using:(1) The SpMV implementations in Intel MKL, the …

GeoDIN-Geoscience-Based Deep Interaction Networks for Predicting Flow Dynamics in Reservoir Simulation Models

M Maucec, R Jalali - SPE Journal, 2022 - onepetro.org
Network graphs represent a general language for describing complex systems and a
framework for knowledge discovery. Graph learning is a new concept with applications …

Ensemble-based assisted history matching with rigorous uncertainty quantification applied to a naturally fractured carbonate reservoir

M Maucec, FM De Matos Ravanelli, S Lyngra… - SPE Annual Technical …, 2016 - onepetro.org
This paper presents an ensemble-based computer Assisted History Matching (AHM) of a
real life carbonate oil field. The field-level reservoir pressures were matched with a fine …

ddRingAllreduce: a high-precision RingAllreduce algorithm

X Lei, T Gu, X Xu - CCF Transactions on High Performance Computing, 2023 - Springer
For complex problems in scientific computing, parallel computing is almost the only way to
solve them, in which global reduction is one of the most frequently used operations. Due to …

SciAI4Industry--Solving PDEs for industry-scale problems with deep learning

PA Witte, RJ Hewett, K Saurabh, AH Sojoodi… - arXiv preprint arXiv …, 2022 - arxiv.org
Solving partial differential equations with deep learning makes it possible to reduce
simulation times by multiple orders of magnitude and unlock scientific methods that typically …