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 …
techniques with a focus on optimization algorithms. History matching algorithms are …
[HTML][HTML] History matching of petroleum reservoirs using deep neural networks
This paper proposes a novel approach based on deep learning to improve oil reservoirs'
history matching problem. Deep autoencoders are widely used to solve the oil industry …
history matching problem. Deep autoencoders are widely used to solve the oil industry …
[HTML][HTML] Optimization of subsurface models with multiple criteria using lexicase selection
Y He, C Aranha, A Hallam, R Chassagne - Operations Research …, 2022 - Elsevier
Abstract Seismic History Matching (SHM) is a key problem in the geosciences community,
requiring optimal parameters of a subsurface model that match the observed data from …
requiring optimal parameters of a subsurface model that match the observed data from …
History matching using proxy modeling and multiobjective optimizations
Various studies have witnessed the wide application of assisted history matching for the
calibration of dynamic reservoir models. Although the proposed algorithms have the …
calibration of dynamic reservoir models. Although the proposed algorithms have the …
Optimization of oil reservoir models using tuned evolutionary algorithms and adaptive differential evolution
In the petroleum industry, accurate oil reservoir models are crucial in the decision making
process. One critical step in reservoir modeling is History Matching (HM), where the …
process. One critical step in reservoir modeling is History Matching (HM), where the …
Towards process-based geological reservoir modelling: Obtaining basin-scale constraints from seismic and well data
Forward stratigraphic modelling aims at representing the spatial distribution of lithology as a
function of physical processes and environmental conditions at the time of deposition so as …
function of physical processes and environmental conditions at the time of deposition so as …
[HTML][HTML] A pragmatic investigation of the objective function for subsurface data assimilation problem
R Chassagne, C Aranha - Operations Research Perspectives, 2020 - Elsevier
One of the main mechanisms of an optimization problem is the effectiveness and relevance
of the objective function. In the context of an optimization problem in the subsurface domain …
of the objective function. In the context of an optimization problem in the subsurface domain …
[PDF][PDF] History matching of the PUNQ-S3 reservoir model using proxy modeling and multi-objective optimizations
Past studies have witnessed the wide application of assisted history matching for the
calibration of dynamic reservoir models. Although the proposed algorithms have the …
calibration of dynamic reservoir models. Although the proposed algorithms have the …
How to address subsidence evaluation for a fractured carbonate gas reservoir through a multi-disciplinary approach
This paper presents and discusses the outcome of a multi-disciplinary study aimed at
evaluating ground surface movements which could be potentially induced by the future gas …
evaluating ground surface movements which could be potentially induced by the future gas …
[PDF][PDF] Multi-objective methods for history matching, uncertainty prediction and optimisation in reservoir modelling
JJJ Hutahaean - 2017 - core.ac.uk
Robust decision-making and reliable forecasting uncertainty are the two key factors to the
success of modern reservoir development and management. The reason is straightforward …
success of modern reservoir development and management. The reason is straightforward …