2018 SCERF Workshop: Quantifying Uncertainty in Subsurface Systems

Presentation of latest SCERF research to Industry Partners

A one-day workshop
June 11, 2018
BP Helios Plaza
 

View or download all reports HERE

1. The Stanford Center for Earth Resources Forecasting Jef Caers & Tapan Mukerji

2. Decision making under uncertainty using Bayesian evidential learning Jef Caers

3. Value of information in reservoir exploration and production Tapan Mukerji

4. Geophysics & Geomodeling Tapan Mukerji

5. Data analytics and uncertainty quantification for production optimization in shales Jef Caers

Theme: The broad theme of the workshop is to provide an overview of real field case studies and to present the various strategies and methods developed.  More specifically, we will focus on the following topics:

• Value of information
• Data science for uncertainty quantification
• Quantifying depositional and structural uncertainty
• Bayesian evidential learning of reservoir uncertainty with geophysics and production data
• Updating uncertainty without building new models
• Decision making under uncertainty for E&P projects
• Workflow, strategies and company case studies

Reference:

Scheidt, C., Li, L. & Caers, J., 2018. Quantifying Uncertainty in Subsurface Systems. AGU Monograph, Wiley, 468p.