
Subsurface Data Assimilation
Theory and Applications
$406.78
- Paperback
300 pages
- Release Date
15 June 2026
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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