[HTML][HTML] 4D seismic history matching
Reservoir simulation models are used to forecast future reservoir behavior and to optimally
manage reservoir production. These models require specification of hundreds of thousands …
manage reservoir production. These models require specification of hundreds of thousands …
Beyond classical observations in hydrogeology: The advantages of including exchange flux, temperature, tracer concentration, residence time, and soil moisture …
Traditionally, groundwater and surface water flow models have been calibrated against two
observation types: hydraulic heads and surface water discharge. It has repeatedly been …
observation types: hydraulic heads and surface water discharge. It has repeatedly been …
[图书][B] Data assimilation fundamentals: A unified formulation of the state and parameter estimation problem
This open-access textbook's significant contribution is the unified derivation of data-
assimilation techniques from a common fundamental and optimal starting point, namely …
assimilation techniques from a common fundamental and optimal starting point, namely …
Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification
Identification of a groundwater contaminant source simultaneously with the hydraulic
conductivity in highly heterogeneous media often results in a high‐dimensional inverse …
conductivity in highly heterogeneous media often results in a high‐dimensional inverse …
Ensemble smoother with multiple data assimilation
AA Emerick, AC Reynolds - Computers & Geosciences, 2013 - Elsevier
In the last decade, ensemble-based methods have been widely investigated and applied for
data assimilation of flow problems associated with atmospheric physics and petroleum …
data assimilation of flow problems associated with atmospheric physics and petroleum …
Interacting Langevin diffusions: Gradient structure and ensemble Kalman sampler
Solving inverse problems without the use of derivatives or adjoints of the forward model is
highly desirable in many applications arising in science and engineering. In this paper we …
highly desirable in many applications arising in science and engineering. In this paper we …
Ensemble Kalman methods for inverse problems
Abstract The ensemble Kalman filter (EnKF) was introduced by Evensen in 1994 (Evensen
1994 J. Geophys. Res. 99 10143–62) as a novel method for data assimilation: state …
1994 J. Geophys. Res. 99 10143–62) as a novel method for data assimilation: state …
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 …
Analysis of iterative ensemble smoothers for solving inverse problems
G Evensen - Computational Geosciences, 2018 - Springer
This paper examines the properties of the Iterated Ensemble Smoother (IES) and the
Multiple Data Assimilation Ensemble Smoother (ES–MDA) for solving the history matching …
Multiple Data Assimilation Ensemble Smoother (ES–MDA) for solving the history matching …
[图书][B] Seismic reservoir modeling: Theory, examples, and algorithms
Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid
properties, including elastic and petrophysical variables, to describe and monitor the state of …
properties, including elastic and petrophysical variables, to describe and monitor the state of …