Geophysics - Reservoir Characterization

Uncertainty Quantification and Management



  Dr Dario Grana (University of Wyoming, United States)


  1 day


  Geophysics – Reservoir Characterization






  5 CPD points




Course description

Reservoir modeling provides a set of techniques to create three-dimensional numerical earth models in terms of elastic, petrophysical and dynamic properties of reservoir rocks. Mathematical/physical models of the reservoir are generally uncertain due to the lack of information, noise in data measurements, approximations and assumptions. The course focuses on the quantification of model uncertainty and its impact on reservoir predictions. It is divided into two main parts:

  1. uncertainty in spatial and time domains, structure, complexity and dimensionality; and
  2. uncertainty management and decision making.

Uncertainty propagation from measured data, through physical models to model predictions will be studied with a focus on seismic data inversion, static reservoir characterization, structural modeling, dynamic fluid simulation, time-lapse monitoring and history matching. The impact of uncertainty on reservoir modeling predictions will be investigated through decision-making theory, to derive strategies to make optimal decisions under different sources of uncertainties. Real case studies will be presented for each topic to illustrate the proposed workflows.


Course objectives

Upon completion of the course, participants will be able to:

  • Generate multiple reservoir models;
  • Evaluate the uncertainty of model predictions;
  • Develop strategic approaches to make decisions based on uncertainty evaluation results.


Course outline

The one-day short course will have the following schedule:

  • Introduction
  • Review of statistical analysis and probability
  • Part 1: Sources of uncertainty in geophysics and reservoir modeling
  • Part 2: Modelling uncertainty in seismic reservoir characterization
  • Part 3: Geostatistics and spatial uncertainty
  • Part 4: Uncertainty and data integration
  • Part 5: Uncertainty in reservoir dynamic modelling
  • Part 6: Visualizing uncertainty
  • Part 7: Value of information and decision making

*Case studies will be presented for each section


Participants' profile

The course is designed for employees of oil companies in geophysics and reservoir modeling.



Participants should have knowledge of basic reservoir modeling concepts and of common geophysical data.


About the instructor

Dr Dario Grana

Dario Grana is assistant professor of rock physics and reservoir characterization at University of Wyoming, in the Department of Geology and Geophysics. He graduated in Mathematics at University of Pavia (Italy) in 2005 and in Applied Mathematics at University of Milano Bicocca (Italy) in 2006. He has worked four years on reservoir characterization at Eni Exploration and Production in Milan. He then completed his PhD in Geophysics at Stanford University during the summer 2013. His main research interests are rock physics, seismic reservoir characterization, geostatistics and inverse problems for reservoir modeling.


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