Basics of Geomodeling – An Overview for Reservoir Engineers
Geomodeling today is integral to a successful business strategy in most hydrocarbon reservoirs. The multi-disciplinary 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 and field planning, as part of reservoir uncertainty management, 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.
Challenges exist to adapt workflows and build efficiencies for subsurface modeling needs. Improved technical sophistication and open communication across disciplines can improve the ability of teams to reframe subsurface practices, mitigate bottlenecks and improve subsurface cycle time.
The course subjects cover a broad scope of geomodeling theory and practice applicable to most reservoir types. 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, discussed and related to general workflows with specific examples. 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:
- Summary of essential Geostatistical topics: variography, kriging, (geostatistical) simulations
- Geologic Concepts: facies, heterogeneities, stratigraphic architecture, geometries
- Geomodeling Cases
- Multi-scale data integration and rescaling topics
- Properties in Models: discrete and continuous variables
- Modeling Uncertainty: The importance and introduction to probabilistic 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 and best practices for the simulator
- Linking static to dynamic behavior
Introductory to Intermediate
An introductory grounding in geomodeling and geostatistical thought process. Improved understanding of best practices, essential concepts, tools of the trade, and important workflows. Subject knowledge to enhance transparent team collaboration and communication. Improved understanding of the uses, deliverables and limitations of geomodeling, stochastic and deterministic methods. The course manual provides useful reference material for your future modeling.
Technical people and decision makers working on subsurface hydrocarbon reservoirs in multi-disciplinary teams using or considering using geomodeling. This includes reservoir engineers, geologists, geophysicists, petrophysicists, technologists, technical managers and geomodelers.
Attendees should have an openness to seeing a balance of theory and new concepts.
1.6 (for 2 Days)
All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.
Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.
SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.
We reserve the right to substitute course instructors as necessary.
David Garner has more than 35 years of technical experience in industry with 24 years in applied geostatistical studies in petroleum and mining. He has published and presented over 25 papers, many of which were peer-reviewed. Currently, he is a consulting geomodeling advisor and trainer and an associate of Geovariances in Fontainebleau, France. Previously Mr. Garner held positions in Halliburton as a Chief Scientist in R&D, as a Specialist in Statoil’s Heavy Oil Technology Centre-Unconventionals R&D, as Senior Advisor Geologic Modeling for Chevron Canada Resources, and Reservoir Characterization Specialist at ConocoPhillips Canada. He was president of TerraMod Consulting for 6 years applying geostatistics and geomodeling techniques mainly for large international reservoir studies and mining resources. As a volunteer, Mr. Garner currently serves as a co-chair for the CSPG Geomodeling Technical Division committee and was chairman for the Gussow conference, Closing the Gap III: Advances in Geomodeling for Petroleum Reservoirs held in 2018. He was general chair for the CSPG 2011 and 2014 Gussow conferences, co-editor of the special edition December 2015 BCPG on Geomodeling Advances and the 2013 CSPG Memoir 20. Other courses taught are Fundamentals of Geostatistics, All You Need to Know about Geostatistics, Deconvolution Theory, and Introduction to Geophysics.
Mr Garner is registered as a Professional Geophysicist (P.Geoph) through the Alberta’s Association of Professional Engineers and Geoscientists (APEGA).