James Lemaux from Southwestern Energy will give the EGLS talk this Friday Apr 13th

James Lemaux from Southwestern Energy will be giving a talk on Friday Apr 13th titled:

"Understanding and Predicting Fayetteville Shale Gas Production Through Integrated Seismic-to-Simulation Reservoir Characterization Workflow"

James W. Lemaux received his B. Sc. in Applied Geophysics from Michigan Technological University in May, 1995.  Jim immediately returned to school, attending Rice University where he focused on Plate Tectonics and understanding the southern boundary of the East African Rift system and where it intersected the Southwest Indian Ridge.

After receiving his M.A. in 2000, Jim joined BP working as a geophysicist in the Deepwater Gulf of Mexico for a year before moving with BP to Alaska.  Jim spent the next six years working as a development geophysicist in Prudhoe Bay and on shallow heavy oil sands in Milne Point.  In 2007, Jim decided to return to Houston with BP and spent the next 3 years working on the Tuscaloosa trend in southern Louisiana.  Jim joined Southwestern Energy in August, 2010 working in the Fayetteville basin both as a regional geophysicist and as a microseismic interpreter on the Fayetteville Tech Team.  Professional activities include Society of Exploration Geophysicists (SEG), American Association of Petroleum Geologist (AAPG) and the Houston Geophysical Society.

This will be the 14th lecture in our Exploration Geophysics Lecture Series. It is open to anyone interested in geophysics and will begin at 1:00pm in the Science and Research Building 1 (SR1), room 634.

Pizza will be provided!

Feel free to share this information.

We hope to see you there!

For a complete list of past and future EGLS lectures, visit:

http://www.segwavelets.uh.edu/egls

 

Abstract

An integrated reservoir characterization project was undertaken to model major factors which are believed to most influence Fayetteville shale reservoir producibility and to determine whether the model could be sufficiently constrained to predict areas of higher gas production performance.  Objectives of the project were to: 1) Utilize all existing data including seismic to build the characterization model, 2) Perform reservoir simulation and understand data requirements for a predictive model,  3) Understand the impact of production time on the model predictability. 

A reservoir model was developed through the integration of all available well, log, petrophysical, sonic, image, core, stimulation, production, microseismic data and processed surface seismic.  This static reservoir model was used to history match the short- and long-term production performance and its variations across the exploration area.  History matching production profiles of multiple wells is a critical step towards understanding the key production drivers in unconventional shale gas formations. This workflow involves extensive use of 3D surface seismic to develop a velocity model and to distribute reservoir properties.