Subsurface Data Assimilation, 9780443415432
Paperback
Unlocking subsurface secrets with advanced data assimilation and AI.
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Subsurface Data Assimilation

Theory and Applications

$406.78

  • Paperback

    300 pages

  • Release Date

    15 June 2026

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Summary

Subsurface Data Assimilation: Theory and Applications provides a comprehensive exploration of data assimilation algorithms applied to subsurface characterization and monitoring.

The book begins with data assimilation methods, including multilevel data assimilation, coupled data assimilation with machine learning, and generative neural networks for geological parameterization. It also introduces Latent-Space Data Assimilation (LSDA), leveraging deep learning for feature-based analysis …

Book Details

ISBN-13:9780443415432
ISBN-10:0443415439
Author:Xiaodong Luo, Olwijn Leeuwenburgh, Alexandre Anoze Emerick
Publisher:Elsevier - Health Sciences Division
Imprint:Elsevier - Health Sciences Division
Format:Paperback
Number of Pages:300
Release Date:15 June 2026
Weight:450g
Dimensions:229mm x 152mm
About The Author

Xiaodong Luo

Authors

Xiaodong Luo has more than 10 years of experience in research, developments, and applications of ensemble-based data assimilation methods to subsurface characterization and monitoring problems. Currently, he is leading two projects in the NCS2030 petro-center, Norway, focusing on geological CO2 and H2 storage. Dr. Luo’s recent technical developments have been incorporated into a US Geological Survey (USGS) software and Equinor’s Ensemble Reservoir Tool (ERT). He is an associate editor of the journal Frontiers in Applied Mathematics and Statistics and a recipient of the Outstanding Reviewer Award from the Journal of Petroleum Science and Engineering (2019) and the SPE Journal (2023).

Olwijn Leeuwenburgh is a Senior Scientist at The Geological Survey of the Netherlands, part of TNO (the national organisation for applied scientific research). He possesses 22 years of experience with adjoint-based and ensemble-based data assimilation in ocean and subsurface models. His current research interests include the application of uncertainty quantification and data assimilation methods for evaluating monitoring strategies, particularly within the context of CO2 storage operations. He has supervised 15 MSc students and co-supervised 4 PhD students at Delft University of Technology.

Alexandre A. Emerick is a Senior Advisor at the Petrobras Research Center in Rio de Janeiro, bringing over 20 years of experience in applied research in reservoir engineering. His research interests encompass reservoir simulation, data assimilation, uncertainty quantification, and optimization. Dr. Emerick has authored or co-authored 30 papers in peer-reviewed journals. He holds a PhD degree in petroleum engineering from The University of Tulsa. Dr. Emerick received the Outstanding Service Award as an SPE Journal technical editor in 2013 and 2014.

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