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Overview:

The Reservoir Characterization Project (RCP) at Colorado School of Mines is an independently sponsored research consortium whose mission is to develop and apply 4-D, 9-C seismology and associated technologies to effectively model complex reservoirs.

For over 20 years, the RCP has been developing and applying new reservoir modeling and simulation techniques, incorporating multidisciplinary reservoir technologies and enhancing and improving hydrocarbon recovery.

Projects are chosen by industry sponsors; faculty, students, and associated researchers form an integrated research environment to characterize reservoirs in a variety of geologic settings. RCP students have the opportunity to experience real world data sets and real world

challenges. The RCP leads the industry in investigating innovative 3-D and 4-D multicomponent seismic and reservoir characterization methodologies.

History:

The RCP was created in 1984 when Geophysics Professor Tom Davis approached the Colorado School of Mines administration for support in forming a consortium to study reservoir characterization with support from industry sponsors. The model was for oil companies to offer access to their fields in a 2-year phase of study by the RCP students. During this time, numerous experimental ideas would be tested to better understand the behavior of the reservoir and prove viability for the concepts and technologies. The vision included seismic data acquisition over a study field, using the latest technologies.  Support from industry companies was solicited as monetary donations, or the contribution of services, equipment, and staff to acquire and process seismic data in the project area. The RCP sponsors were tasked with active participation, putting forward candidate projects and voting to choose the one with the most potential. An advisory board was established, representing a cross-section of sponsor companies. Sponsor meetings and interaction with students were essentials components of the vision. 

When the first project was started in the Denver Basin’s Silo Field in 1985, the concept of reservoir characterization was experiencing the raw beginnings of acceptance.  Now reservoir characterization is a highly accepted idea, and the industry has experienced a shift to more integrated and multi-disciplinary methods for managing their assets.  

The model for the RCP consortium was an uncharted way of doing things when first begun.  Companies had generally supported academic consortia with dollars for research, but took a backstage when it came to actively selecting projects and providing other resources to help with the research, or setting expectations for specific outcomes.  With the RCP, all of this changed. 

 

 

The RCP model for sponsorship encouraged participation, granted members the right to suggest their own projects as research candidates, and allowed a closer relationship with the school and its students.  Today, the participatory industry sponsor model stands as a hallmark and well-defined strength of the consortium.  

Another pioneering effort of the RCP’s model was integration. Cooperation between geologists and geophysicists was still rare in the 1980s.  Petroleum engineers shied away from utilizing seismic data in collaboration with the geoscientists. When the industry was ready for a shift to a more integrated approach to true reservoir characterization, the RCP had already formed.  As the value of better imaging through the recording and analysis of multi-component data began to take hold, the RCP was already researching the advantages of vector wave field properties through their emphasis on 9-C data.

Over the years, RCP projects have been completed both domestically and in Canada, working for the advancement and development of new 3-D and 4-D multi-component technologies.  The seismic surveys represent a series of “firsts” with the first 3-D 9-C project in the US at Silo Field in Wyoming, and in Canada with Joffre Field in Alberta.  The first 4-D 9-C survey was recorded in the US at Vacuum Field in New Mexico, and in Canada at Weyburn Field in Saskatchewan.

Research has focused on the application of dynamic reservoir characterization to enable monitoring of reservoir production processes.  Two back-to-back phases, Phases X and XI at Rulison Field in the Piceance Basin, Colorado, reflect the industry’s demand for improved natural gas recovery. The objective was the creation of a high resolution measurement system for monitoring changes in the rock and gas properties of the field.  Key elements include monitoring reservoir depletion using seismic anisotropy and integrated geo-mechanical flow models.  Facilitated by sponsor contributions of technology, the RCP acquired a 4-D and 9-C seismic survey at Rulison, enabling analysis of shear wave anisotropy as a key to dynamic reservoir characterization in this unconventional gas reservoir. The project anticipates that activities will be winding down by the end of 2007, although studies will continue beyond that date.

Achievements:

  • Acquisition of project-specific multicomponent data for interdisciplinary reservoir characterization.

  • Collection and integration of 3D-3C VSP data with surface seismic.

  • Integration of time-lapse seismic for predictive reservoir modeling.

  • Use of time-lapse multicomponent seismic for characterization of unconventional reservoirs, resulting in the following:

  • Land 4-D, 9-C seismic survey (Vacuum, 1995-99). Conducted the first ever time-lapse, multicomponent seismic survey in conjunction with a CO2 injection project of a carbonate

  • fractured reservoir.

  • 4-D, 9-C survey in Canada (Weyburn, 1999-03). High resolution dynamic reservoir characterization of a thin, fractured carbonate reservoir utilizing shear wave, compressional wave, and converted wave seismic data.

  • 4-D, 9-C survey for tight gas (Rulison, 2003-07). Optimization of hydrocarbon recovery via proactive reservoir management and integration of time-lapse, multicomponent seismic data with down-hole measurements, geological information, production data, and petrophysical information.

  • 4D, 9C survey for CO2 injection monitoring in thin reservoir layer (Postle, 2007-09). Applying of different disciplines like fluid simulation, rock physics lab results, novel geomechanical approaches and geophysical techniques in a integrated framework.

 
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