Basics of Geomodeling – An Overview for Reservoir Engineers


Disciplines: Completions | Data Science and Engineering Analytics | Reservoir

Course Description

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 digital images of reservoir heterogeneities critical to better understanding the physical hydrocarbon extraction processes, to improve flow models. Geomodels help reveal the impact of the various reservoir multi-scale features on dynamic behaviour.  

The course subjects cover a broad scope of geomodeling applicable to most reservoirs. The course intent is to introduce sub-topics with grounding in fundamental theory, 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:

  • Summary of essential Geostatistical topics: variography, kriging, (geostatistical) simulations
  • Geologic Concepts: facies, heterogeneities, stratigraphic architecture, geometries
  • Geomodeling Workflows and 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, model checking and fidelity
  • Re-scaling methods and best practices for the simulator
  • Linking static to dynamic behavior

Learning Level

Introductory to Intermediate

Course Length

4 Half days with 4 hours of optional session at no cost. 

Why Attend

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.

Who Attends

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.

Special Requirements

A computer and internet connection. Attendees should have an openness to seeing a balance of theory and new concepts.

CEUs

1.6 

Cancellation Policy

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.

Instructor

David Garner has more than 30 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 three CSPG Gussow conferences, Closing the Gap I, II, and III: Advances in Geomodeling for Petroleum Reservoirs held in 2011, 2014, and 2018. He co-edited of the special edition December 2015 BCPG on Geomodeling Advances and the 2013 CSPG Memoir 20. He served a board term as CSPG Finance Chair. 

Mr Garner is registered as a Professional Geophysicist (P.Geoph) through the Alberta’s Association of Professional Engineers and Geoscientists (APEGA).