An efficient automatic history matching method through the probabilistic collocation based particle filter for shale gas reservoir-Reference-Cited by-同舟云学术

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An efficient automatic history matching method through the probabilistic collocation based particle filter for shale gas reservoir

Published:2020-07 Issue: Volume:190 Page:107086
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Xue Liang,Liu Yuetian,Nan Tongchao,Liu Qianjun,Jiang Xieer

Funder

National Science and Technology Major Project of China

SINOPEC Ministry of Science and Technology Basic Prospective Research Project

National Natural Science Foundation of China

Major Science and Technology Project of CNPC

SINOPEC Science and Technology Key Program

Science Foundation of China University of Petroleum, Beijing

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference60 articles.

1. The ensemble Kalman filter in reservoir engineering--a review;Aanonsen;SPE J.,2009

2. Application of the EnKF and localization to automatic history matching of facies distribution and production data;Agbalaka;Math. Geosci.,2008

3. A tutorial on particle filters for online nonlinear/non-Gaussian bayesian tracking;Arulampalam;IEEE Trans. Signal Process.,2002

4. Curse-of-dimensionality Revisited: Collapse of the Particle Filter in Very Large Scale Systems;Bengtsson,2008

5. Surrogate model based iterative ensemble smoother for subsurface flow data assimilation;Chang;Adv. Water Resour.,2017

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