C&P: SPE 2014-15 DL Dr. Xiao-Hui Wu: How to Predict Reservoir Performance with Subsurface Uncertainty at Multiple Scales

Speaker Xiao-Hui Wu, Ph.D., SPE 2014-15 Distinguished Lecturer
Xiao-Hui Wu joined ExxonMobil Upstream Research Company in 1997. His research experience covers geologic modeling, unstructured gridding, upscaling, reduced order modeling, and uncertainty quantification. He is a Senior Earth Modeling Advisor in the Computational Science Function. Xiao-Hui received his Ph.D. in Mechanical Engineering from the University of Tennessee and worked ...

Xiao-Hui Wu joined ExxonMobil Upstream Research Company in 1997. His research experience covers geologic modeling, unstructured gridding, upscaling, reduced order modeling, and uncertainty quantification. He is a Senior Earth Modeling Advisor in the Computational Science Function. Xiao-Hui received his Ph.D. in Mechanical Engineering from the University of Tennessee and worked as a postdoc in Applied Mathematics at Caltech before joining Exxon Mobil. He is a member of SPE and SIAM, a technical editor/reviewer for the SPE Journal, Journal of Computational Physics, and Multiscale Modeling and Simulation. He served on program committees of several conferences, including the Reservoir Simulation Symposium. Dr. Xiao-Hui Wu is a 2015-16 SPE Distinguished Lecturer.

Full Description

 

Subsurface uncertainty is one of the main challenges in using reservoir models to predict field performance for development and depletion planning purposes. The importance of reliable characterization of subsurface uncertainty and its impact on reservoir performance predictions is increasingly recognized as essential to robust decision making in the upstream industry, which is especially true for large projects in complex geologic settings. However, despite recent advances in reservoir modeling and simulation, reliable quantification of the impact of subsurface uncertainty remains difficult in practice. Many factors lead to this state of affair; technically, a fundamental difficulty is that reservoir heterogeneity at multiple scales may have strong effect on fluid flows. This lecture presents an analysis of the challenge and possible resolutions. Indeed, relying on computing power alone may not address the challenge. Instead, we must look at reservoir modeling and performance prediction holistically, from modeling objectives to appropriate techniques of incorporating reservoir heterogeneity into the models. We present a goal-driven and data-driven approach for reservoir modeling with the theoretical reasoning and numerical evidence behind them, including real field examples. The one idea that participants of this lecture should take away is that appropriate parameterization of multi-scale reservoir heterogeneity that is tailored to the business questions at hand and available data are essential for addressing the challenge of subsurface uncertainty.

Organizer Jonathan Godwin

Contact Information


Phone: (713)259-9726


Email:  jongodwin@hotmail.com

When?

Wed, Mar. 18, 2015
11:30 a.m. - 1 p.m. US/Central

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Greenspoint Club
16925 Northcase Drive
Houston, Texas 77060
United States

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