Who Should Attend
Technical people and decision makers working on
subsurface hydrocarbon reservoirs in multi-disciplinary teams using or
considering using geomodeling. This includes geologists, geophysicists,
petrophysicists, reservoir engineers, technologists, technical managers and
introductory grounding in geomodeling thought process, best practices, essential
geostatistical concepts, tools of the trade for using geomodeling or geostatistical
mapping, and subject knowledge to enhance team collaboration. Improved
understanding of the uses and limitations of geomodeling. The course manual
provides useful reference material for your future modeling.
Geomodeling today is integral to a successful business strategy in most hydrocarbon reservoirs. The sub-surface team uses the Geomodel to render the geologic interpretation into a digital format suitable for input to reservoir simulation software, for resource evaluations, for well planning, as part of uncertainty analysis, and in a variety of decision making processes. A key goal in the Geomodeling practice is to provide images of reservoir heterogeneities critical to better understanding the physical hydrocarbon extraction processes. Geomodels help reveal the impact of the various reservoir multi-scale features on dynamic behavior.
The course subjects cover a broad scope of geomodeling applicable to most reservoirs. The course intent is to provide grounding in geomodeling thought process, and to place high level topics into their basic integrated context. By the end of the course, each topic will have been defined and discussed and related to general workflows with examples. Many challenges faced by modelers in sub-surface teams will be discussed. Additional reading material will be listed in the notes.
Topics to be defined and discussed:
• Geologic Concepts: facies, heterogeneities, stratigraphic architecture, geometries
• Summary of essential Geostatistical topics
• Geomodeling Cases
• Multi-scale data and rescaling topics
• Properties in Models: discrete and continuous variables
• Modeling Uncertainty: The importance and introduction to approaches
• Post-processing Geomodels: practical use of multiple realizations with objectives
Basics to be highlighted -The modeling process has many important steps, best practices and choices:
• Essential statistics and terminology
• Compiling and checking the input data types
• Defining the stratigraphic framework and grid system
• Modeling Methods for Facies, Petrophysics, Permeability, Geomechanics
• Post-processing for summary statistics, uncertainty, and connectivity; well placement
• Volumetric assessments with constraints
• Avoiding bias in results
• Re-scaling methods for the simulator
• Linking static to dynamic behavior
Exercises: limited to a few by-hands examples.
Prerequisites: None specifically. Openness to seeing a balance of theory and new concepts.