N345 Geomodeling for Unconventional Reservoirs
N345 Geomodeling for Unconventional Reservoirs
This class addresses the principles of reservoir characterization as applied to geocellular modeling of unconventional resources. Topics include a review of deterministic and stochastic methods used to create static models of gas and liquid-rich "shale" reservoirs, such as kriging and conditional simulation, how to use multivariate analysis to identify important shale characteristics, and advanced analytics for constructing a shale quality index. Specific workflows are discussed.
Participants will be able to apply the course learnings to improve production and drive down the cost per barrel of oil equivalent.
A three-day course comprised of classroom lectures with exercises and a computer-based workshop using geomodeling software from Halliburton/Landmark’s DecisionSpace Software Suite.
Participants will learn to:
This course will address questions about using geocellular models for unconventional reservoirs, such as:
The specific topics to be addressed are:
Day 3 - Modeling Workshop
This workshop uses simple exercises on a variety of multivariate techniques in order for participants to better understand the underlying principles. Some of the examples are from unconventional shale reservoirs and some are not. Those that are not, are classic data sets used in texts, classrooms, seminars, and online short-courses and are not necessarily geologic in nature, but clearly illustrate the methods.
Practical computer-based exercises demonstrating Multivariate Data Analytics that form the basis of the workshop include the following:
The actual number of exercises and methods will vary depending on available time.
This course has been designed for mid to senior level geoscientists, and specifically geomodelers. Familiarity with geostatistics and practical geocellular modeling is assumed. Managers and others who have previous experience of building geomodels and wish to develop a better understanding of how to apply modeling techniques to unconventional reservoirs could also benefit from this course.
Skilled Application level course N058 (Reservoir Characterization and Geostatistical Modeling in Field Development) is a prerequisite for this course. Participants familiar with geostatistical principles and practical geocellular modeling, who have equivalent work experience to N058, could also attend this course.
Additionally, participants are expected to have a basic awareness of unconventional reservoirs, as presented in Basic Application level course N313 (Evaluating Resource Plays: The Geology and Engineering of Low Permeability Oil and Gas Reservoirs).
Click on a name to learn more about the instructor
Dr. Yarus obtained his Ph.D. from the University of South Carolina in 1977 before joining Amoco Production Company where he worked as an exploration geologist in the Gulf of Mexico. From 1981 until 1988, he worked in exploration and production as an independent in a variety of basins throughout the Rocky Mountain States. In 1988, Jeffrey joined Marathon Oil Company’s Petroleum Technology Center in Littleton, Colorado where he introduced the company to geostatistical reservoir characterization.
Since moving to Houston in 1996, he worked as a technical manager and executive for GeoMath, a subsidiary of Beicip-Franlab, Smedvig Technologies (Roxar), and Knowledge Reservoir, Inc. In August of 2001, Jeffrey along with Dr. Richard L. Chambers, started Quantitative Geosciences, LLP, a consulting firm specializing in reservoir characterization and geostatistics. In 2006, Jeffrey, along with the QGSI staff, moved to Landmark Graphics Corporation, a division of Halliburton, where he is now the Senior Product Manager for Earth Modeling. Jeffrey is well known throughout the industry for his seminars and lectures which he has given world-wide.
Jeffrey has served as AAPG’s Computer Applications, Publications, and Reservoir Development Chairman, and has authored many papers and abstracts on geostatistics. Along with his partner Richard, he co-edited the 1995 and 2006 AAPG volumes on Stochastic Modeling and Geostatistics, and SPE’s 2007 chapter on Geologically-Based, Geostatistical Reservoir Modeling in their Petroleum Engineering Handbook.
Affiliations and Accreditation
PhD University of South Carolina
N058: Reservoir Characterization and Geostatistical Modeling in Field Development
N345: Geomodeling for Unconventional Reservoirs
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