Geological uncertainty quantification

Reza Yousefzadeh*, Alireza Kazemi, Mohammad Ahmadi, Jebraeel Gholinezhad

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Our knowledge from underground reservoirs is not complete and is limited to some sparse core and log data, seismic data, geological interpretations, etc. This limited knowledge leads to a significant extend of uncertainty that is common in reservoir modeling and characterization. This kind of uncertainty is known as the geological uncertainty since the uncertainty is present in geological parameters, such as permeability, porosity, fluid contacts, reservoir compartmentalization, fault transmissibility, existence, type, and characteristics of aquifer, etc. Accordingly, geological uncertainty can have different scales including the macro- and micro-scale geological uncertainties. This chapter introduces the geological uncertainty, geological uncertainty scales, geological prior information, structural and stratigraphic uncertainties, geological parametrization, use of seismic and petrophysical data in uncertainty quantification, exploring the range of scenarios, geological realizations, and the geostatistical methods to generate geological realizations. The main geostatistical techniques for generating the realizations of the uncertain parameters, including the kriging-based, object-based, and multiple-point geostatistical methods, are introduced, and their applications, advantages and disadvantages are presented.

Original languageEnglish
Title of host publicationIntroduction to Geological Uncertainty Management in Reservoir Characterization and Optimization
Subtitle of host publicationRobust Optimization and History Matching
PublisherSpringer
Pages15-42
Number of pages28
Edition1st
ISBN (Electronic)9783031280795
ISBN (Print)9783031280788
DOIs
Publication statusPublished - 9 Apr 2023

Publication series

NameSpringerBriefs in Petroleum Geoscience and Engineering
PublisherSpringer
ISSN (Print)2509-3126
ISSN (Electronic)2509-3134

Keywords

  • Bayesian rule
  • geological parametrization
  • geological realizations
  • geological uncertainty
  • geostatistics
  • multiple-point geostatistics
  • prior information
  • stratigraphic uncertainty
  • structural uncertainty

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