[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 …
[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 …
porous media, written by a developer of numerical methods. The reader will learn how to …
[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 …
An ensemble 4D-seismic history-matching framework with sparse representation based on wavelet multiresolution analysis
In this work, we propose an ensemble 4D-seismic history-matching framework for reservoir
characterization. Compared with similar existing frameworks in the reservoir-engineering …
characterization. Compared with similar existing frameworks in the reservoir-engineering …
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder
We have developed a time-lapse seismic history matching framework to assimilate
production data and time-lapse seismic data for the prediction of static reservoir models. An …
production data and time-lapse seismic data for the prediction of static reservoir models. An …
Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering
Data assimilation is an important discipline in geosciences that aims to combine the
information contents from both prior geophysical models and observational data …
information contents from both prior geophysical models and observational data …
Simultaneous assimilation of production and seismic data: application to the Norne field
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 …
size of seismic datasets. The most severe problem, when applying ensemble-based …
[HTML][HTML] Conditioning of deep-learning surrogate models to image data with application to reservoir characterization
Imaging-type monitoring techniques are used in monitoring dynamic processes in many
domains, including medicine, engineering, and geophysics. This paper aims to propose an …
domains, including medicine, engineering, and geophysics. This paper aims to propose an …
[HTML][HTML] 4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method
It is possible to improve oil-reservoir simulation models by conditioning them on 4D seismic
data. Computational issues may arise related to both storage and CPU time due to the size …
data. Computational issues may arise related to both storage and CPU time due to the size …
Estimating observation error covariance matrix of seismic data from a perspective of image denoising
Estimating observation error covariance matrix properly is a key step towards successful
seismic history matching. Typically, observation errors of seismic data are spatially …
seismic history matching. Typically, observation errors of seismic data are spatially …