Learn essential techniques for uncertainty quantification in basin and petroleum system modeling through this 22-minute technical lecture. Explore the Bayesian approach methodology for handling various datasets, including well and seismic data, while understanding how to parameterize uncertainty models using prior geological information. Dive into key concepts such as seismic interpretation, approximate Bayesian computation, and quantitative rock physics modeling focused on microstructure analysis. Master practical workflows for integrating multiple data sources to better constrain uncertainty in petroleum system analysis.
Uncertainty Quantification in Basin and Petroleum System Modeling
Basin and Petroleum System Modeling via YouTube
Overview
Syllabus
Intro
Different datasets are available for constraining the uncertainty
A general methodology for uncertainty quantification with data: the Bayesian approach • Uncertainty model parameterization Specified using prior geological
Workflow for uncertainty quantification using well and seismic data
Seismic interpretation
Approximate Bayesian computation
Rock physics modeling: Quantitative modeling of rock microstructure
Taught by
Basin and Petroleum System Modeling
