Уважаемые коллеги,
В рамках программы SPE Distinguished Lecturer в Новосибирск приезжает distinguished lecturer Xiao-Hui Wu, который в настоящее время работает в компании ExxonMobil.
Название доклада: How to Predict Reservoir Performance with Subsurface Uncertainty at Multiple Scales?
Доклад будет представлен на английском языке. Лекция организована Новосибирской секцией SPE, приглашаются все желающие.
Краткая биография докладчика и аннотация доклада.
Xiao-Hui Wu, ExxonMobil Upstream Research Company
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 essential to robust decision making in the upstream industry, and this 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. This lecture presents an analysis of the challenge and possible resolutions. 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 models.
Biography:
Xiao-Hui Wu joined ExxonMobil Upstream Research Company in 1997 and is currently a senior earth modeling advisor. His research covers geologic modeling, unstructured gridding, upscaling, reduced order modeling, and uncertainty quantification. Wu holds a PhD in mechanical engineering from The University of Tennessee and has done post-doctoral studies in applied mathematics at California Institute of Technology. He has been a technical editor for the SPE Journal and has served on the SPE Reservoir Simulation Symposium program committee.