Review of field development optimization of waterflooding, EOR, and well placement focusing on history matching and optimization algorithms

J Udy, B Hansen, S Maddux, D Petersen, S Heilner… - Processes, 2017 - mdpi.com
This paper presents a review of history matching and oil field development optimization
techniques with a focus on optimization algorithms. History matching algorithms are …

A review on optimization algorithms and surrogate models for reservoir automatic history matching

Y Zhao, R Luo, L Li, R Zhang, D Zhang, T Zhang… - Geoenergy Science and …, 2024 - Elsevier
Reservoir history matching represents a crucial stage in the reservoir development process
and purposes to match model predictions with various observed field data, including …

Analysis of the performance of ensemble-based assimilation of production and seismic data

AA Emerick - Journal of Petroleum Science and Engineering, 2016 - Elsevier
Ensemble-based methods have gained popularity as reservoir history-matching techniques.
The advantages typically attributed to these methods include the possibility of adjusting a …

Localization and regularization for iterative ensemble smoothers

Y Chen, DS Oliver - Computational Geosciences, 2017 - Springer
Ensemble-based data assimilation methods have recently become popular for solving
reservoir history matching problems, but because of the practical limitation on ensemble …

Proxy-based Bayesian inversion of strain tensor data measured during well tests

S Roudini, LC Murdoch, M Shojaei, S DeWolf - Geomechanics for Energy …, 2023 - Elsevier
Recent instrument developments have made it possible to measure the strain tensor caused
by injecting or pum** fluid from aquifers or reservoirs, but the full value of these data is …

Calibration of imperfect models to biased observations

DS Oliver, M Alfonzo - Computational Geosciences, 2018 - Springer
The problem of assimilating biased and inaccurate observations into inadequate models of
the physical systems from which the observations were taken is common in the petroleum …

Integration of ensemble data assimilation and deep learning for history matching facies models

SA Canchumuni, AA Emerick… - Offshore Technology …, 2017 - onepetro.org
Ensemble data assimilation methods have been applied with remarkable success in several
real-life history-matching problems. However, because these methods rely on Gaussian …

History matching the full Norne field model using seismic and production data

RJ Lorentzen, X Luo, T Bhakta, R Valestrand - SPE Journal, 2019 - onepetro.org
In this paper, we use a combination of acoustic impedance and production data for history
matching the full Norne Field. The purpose of the paper is to illustrate a robust and flexible …

Simultaneous assimilation of production and seismic data: application to the Norne field

RJ Lorentzen, T Bhakta, D Grana, X Luo… - Computational …, 2020 - Springer
Automatic history matching using production and seismic data is still challenging due to the
size of seismic datasets. The most severe problem, when applying ensemble-based …

Theoretical and efficient practical procedures for the generation of inflation factors for ES-MDA

J Rafiee, AC Reynolds - Inverse Problems, 2017 - iopscience.iop.org
The ensemble smoother with multiple data assimilation (ES-MDA) has proved to be a
powerful assisted history-matching method. The main drawback of ES-MDA is that the …