Introduction to the special issue: overview of OLYMPUS optimization benchmark challenge
RM Fonseca, ED Rossa, AA Emerick… - Computational …, 2020 - Springer
Introduction to the special issue: Overview of OLYMPUS Optimization Benchmark
Challenge Page 1 INTRODUCTION Introduction to the special issue: Overview of …
Challenge Page 1 INTRODUCTION Introduction to the special issue: Overview of …
Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification
The use of the ensemble smoother (ES) instead of the ensemble Kalman filter increases the
nonlinearity of the update step during data assimilation and the need for iterative …
nonlinearity of the update step during data assimilation and the need for iterative …
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 …
carbonate reservoirs and to the prediction of reservoir performance. The review provides …
History matching and uncertainty quantification of facies models with multiple geological interpretations
H Park, C Scheidt, D Fenwick, A Boucher… - Computational …, 2013 - Springer
Uncertainty quantification is currently one of the leading challenges in the geosciences, in
particular in reservoir modeling. A wealth of subsurface data as well as expert knowledge …
particular in reservoir modeling. A wealth of subsurface data as well as expert knowledge …
A novel hybrid recurrent convolutional network for surrogate modeling of history matching and uncertainty quantification
Automatic history matching (AHM) has been widely studied in petroleum engineering due to
it can provide reliable numerical models for reservoir development and management …
it can provide reliable numerical models for reservoir development and management …
History matching of the Norne full-field model with an iterative ensemble smoother
Although ensemble-based data-assimilation methods such as the ensemble Kalman filter
(EnKF) and the ensemble smoother have been extensively used for the history matching of …
(EnKF) and the ensemble smoother have been extensively used for the history matching of …
Overview of the olympus field development optimization challenge
RM Fonseca, E Della Rossa, AA Emerick… - ECMOR XVI-16th …, 2018 - earthdoc.org
Since the early 2000's there has been a significant focus from many groups around the
world towards the development and application of innovative technologies in order to …
world towards the development and application of innovative technologies in order to …
Generating subsurface earth models using discrete representation learning and deep autoregressive network
Subsurface earth models (referred as geomodels) are crucial for characterizing complex
subsurface systems. Multiple-point statistics is commonly used to generate geomodels. In …
subsurface systems. Multiple-point statistics is commonly used to generate geomodels. In …
Comprehensive framework for gradient-based optimization in closed-loop reservoir management
An efficient, robust, and flexible adjoint-based computational framework for performing
closed-loop reservoir management is developed and applied. The methodology includes …
closed-loop reservoir management is developed and applied. The methodology includes …
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 …
powerful assisted history-matching method. The main drawback of ES-MDA is that the …