RMAG July Short Course



Registration for this event is closed.

 Day-of event registration will be available at the door. See below for details.

July Geostatistics Course

   MICHAEL J. PYRCZ, Ph.D., P.Eng.,  Associate Professor, The University of Texas at Austin

  July 18-19, 2018


Check-in starts at 8:00am

  The Denver Place - Atrium Conference Room (999 Eighteenth Street, Denver, Colorado 80202)

  Member Price - $300

Non-Member Price - $350

Student/Unemployed Price - $150 SOLD OUT (Registration at this price is limited and on a first-come, first-serve basis to RMAG members who are full-time students or unemployed. To register, please download the registration form found at the bottom of this page and turn it into the RMAG office with a copy of your student id.)

  A light breakfast will be provided along with lunch both days.

Online registration closes on Monday, July 16th.

Day-of Event registrations are now available. You may register for this event at the door for an additional $25.00 ($325 for members, $375 for non-members). Payment for day of event registrations must be received at the door. Cash, credit cards or check accepted. Course materials will be available as a PDF Download. You will receive notification when available before the start of the course. Day of event registrants will be given a link to download the PDF. Please bring a device to download the PDF.

Refunds for the July Short Course are only available until July 4, 2018.
Refunds for all RMAG technical and social events, except luncheons, are only available up to two weeks before the event date. If you are unable to attend, your registration for all RMAG events are transferable. RMAG members may transfer their registration to another RMAG member, and non-members can transfer their registrations to whomever they wish. Should an RMAG member wish to transfer their registration to a non-member, the non-member would need to pay the balance between the member and non-member price.

Day-of-event registrations are non-transferable and non-refundable.
Abstract: Class will be accessible to geoscientists and data scientists with no previous experience with geostatistics. We will build up from data integration to spatial estimation and simulation along with uncertainty modeling to support decision making. After completion, the students will understand: (1) the benefits and uses of geostatistics, (2) the common spatial and uncertainty modeling workflows, (3) how to better integrate their domain knowledge into the geostatistical model.
Bio: Michael Pyrcz is an associate professor at the University of Texas at Austin. He teaches and consults on the practice of geostatistical reservoir modeling and conducts research on new geostatistical methods to improve reservoir modeling and uncertainty for conventional and unconventional reservoirs. He has published over 40 peer-reviewed technical articles, a textbook with Oxford University Press, and is an associated editor with Computers & Geosciences. For more details see www.michaelpyrcz.com or follow him on Twitter @GeostatsGuy.

 Download Registration Form

Download Course Itinerary, Abstract, & Bio

Download Flyer

Thank you, to our room sponsor!