The Reservoir Characterization Project

RCP is an industry-funded geophysical research consortium dedicated to the study of integrated reservoir characterization. RCP’s unique model emphasizes a multidisciplinary, collaborative team approach for practical research and preparation of graduate students. Working closely with industry sponsors, RCP explores new methods and technologies to gain improvements in reservoir performance, prediction and optimization. 

Welcome from Dr. Ali Tura, RCP Director

"The unconventional resources challenge can only be solved by integrated work and new technology. The more diverse information we gather, the better we can understand the subsurface. Even a slight change in drilling or completion practices as a result of this will significantly impact the bottom line."

 

 

 


RCP PHASE XVII -- Eagle Ford Shale, Texas USA
This new 2017 study leverages RCP expertise using a wide range of integrated data from a comprehensive pilot to develop a strategic plan for life of field production.  We will work with fiber optics, data analytics, borehole and 4D surface multi-component seismic data, in addition to well, production, and tracer data to perform static and dynamic reservoir characterization. The study will enhance our understanding of the value of different technologies in solving key challenges in unconventional resource plays. 


RCP PHASE XVI -- Wattenberg Field, Colorado USA
This project is an unconventional shale reservoir study conducted with field sponsor Anadarko Petroleum Corporation. The research began in 2013 under Phase XV and continues in the current research phase. The study utilizes time-lapse 9-C seismic data, regional seismic, microseismic, geological information, and reservoir engineering and completions information to analyze performance within the Niobrara and Codell Shale reservoirs in a concentrated study area. Gaining a greater understanding of the stimulated reservoir volume and produced reservoir volume will help guide future drilling and completions decisions and help diagnose and predict reservoir performance.



SPONSORS
AnadarkaCGGCIMAREX DawsonDenburyDevonDrilling Info    Dynamic Graphics   EOG Resources ExxonMobil  Fairfield Nodal  Geospace Technologies  Great Western Oil and Gas  Halliburton / Landmark  Hess  Ikon Science 
INIG  Inova  KOC  Lumina  Nanoseis  Nexen  Noble Energy   Oxy

 

Paragon  PDC Energy Pertamina  PTTEP  Repsol   Seismogenic Sigma Cubed   Total   Unified Geosystems  Vecta    Whiting Petroleum Corp   Wintershall   

 

© 2017 Colorado School of Mines | | Equal Opportunity | Privacy Policy | Directories | Text Only | Mines.edu | rss

 
Last Updated: 10/02/2017 12:36:17