Delineating Facies Spatial Distribution by Integrating Ensemble Data Assimilationand Indicator Geostatistics With Level‐Set Transformation-Reference-Cited by-同舟云学术

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Delineating Facies Spatial Distribution by Integrating Ensemble Data Assimilationand Indicator Geostatistics With Level‐Set Transformation

Published:2019-04 Issue:4 Volume:55 Page:2652-2671
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Song Xuehang¹²^ORCID,Chen Xingyuan¹^ORCID,Ye Ming²^ORCID,Dai Zhenxue³,Hammond Glenn⁴^ORCID,Zachara John M.¹^ORCID

Affiliation:

1. Pacific Northwest National Laboratory Richland WA USA

2. Department of Earth, Ocean, and Atmospheric Science Florida State University Tallahassee FL USA

3. College of Construction Engineering Jilin University Changchun China

4. Applied Systems Analysis and Research, Sandia National Laboratories Albuquerque NM USA

Funder

U.S. Department of Energy

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018WR023262

Reference62 articles.

1. The Ensemble Kalman Filter in Reservoir Engineering--a Review

2. Application of the EnKF and Localization to Automatic History Matching of Facies Distribution and Production Data

3. Conditioning Truncated Pluri-Gaussian Models to Facies Observations in Ensemble-Kalman-Based Data Assimilation

4. High resolution multi-facies realizations of sedimentary reservoir and aquifer analogs

5. Bjornstad B. N. Horner J. A. Vermeul V. R. Lanigan D. C. &Thorne P. D.(2009).Borehole completion and conceptual hydrogeologic model for the IFRC well field 300 area Hanford Site. Richland WA (United States).https://doi.org/10.2172/974984

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