2018 FE Research Consortium Meeting

August 12, 2018

This year the meeting is scheduled for Monday and Tuesday, August 13-14, 2018, with the Icebreaker on Sunday, August 12, 2018, and optional software training on August 15-17, 2018.

The meeting will be held on campus at the new Engineering Education and Research Center (, the icebreaker will be held at the AT&T center and the software training will be in our department on campus.

There is a room block at the AT&T Center like previous years.

Carlos Torres-Verdín receives 2017 EAGE Conrad Schlumberger Award.

June 12, 2017

Carlos Torres-Verdín was selected as the 2017 winner of the EAGE (European Association of Geoscientists and Engineers) Conrad Schlumberger Award.

Award for Outstanding Contribution
The Conrad Schlumberger Award is presented to a member of EAGE who has made an outstanding contribution over a period of time to the scientific and technical advancement of the geosciences, particularly geophysics.

Dr. Torres-Verdín talks about receiving the Conrad Schlumberger Award: Click here> Honored to receive award.

See Dr. Torres-Verdín accepting the award at EAGE Conrad Schlumberger 2017 Award Ceremony in Paris: Click here> Full Ceremony Video.

2014 FE Research Consortium Meeting a Success

August 17, 2014

We would like to thank all 2014 consortium meeting attendees for making last years meeting a success.

For a glimpse of last years meeting, please see our 2014 Formation Evaluation Research Consortium Brochure. You can download last years consortium brochure HERE.

Projects in 2014

January 6, 2014

During the last year we completed a number of important projects and initiated a few others. Several developments stemmed from the interpretation of challenging data sets where conventional well-log interpretation methods did not yield reliable results. We successfully implemented the concept of Common Stratigraphic Framework (CSF) to construct multi-layer static and dynamic petrophysical models that quantitatively honored all the available well logs and core data.