Project Updates

Stimulation Pilot Project 

This new 2017 study leverages RCP expertise with reservoir characterization, stimulation and production using integrated data from an extensive pilot to develop a strategic plan for life of field production.

The pilot project data includes Fiber Optic DAS/DTS data, multi-component seismic, VSP, completions and production information. Data analytics will be used for static and dynamic reservoir characterization.

The project is designed to enhance our understanding of the value of different technologies in solving key challenges in unconventional resource plays. The project is provided by Devon Energy.

Unconventional Reservoir with Fiber Optic

Fiber optic DAS VSP data are recorded after each stage of fracturing from two offset vibroseis locations. This forms a unique time-lapse dataset with FO DAS-VSP surveys recorded from the top of the well to the toe of the well during each fracking (or pressuring) stage. The 4D data show clearly observable time-lapse changes during fracking. Full waveform modeling and transformation to strain signal will enable a better understanding of the time lapse changes in the DAS data. The changes show a unique character and may lead to development of new technology for 4D in unconventional reservoir applications. The project is provided by Apache Corporation.

Unconventional Shale Resource Development

The Wattenberg Project began in the Fall of 2013 with 14 graduate student researchers. By spring of 2016, 21 students were involved, representing Geophysics, Petroleum Engineering, Geology and Economic disciplines. Nine of the 11 RCP students graduating in May 2016 earned their MS degrees through research on this project. 

Summer 2016 update:  A new time-lapse multicomponent 9C seismic dataset acquired in January 2016 completes the seismic acquisition objectives. The data processing is performed by Vecta, and RCP has received preliminary data volumes. The baseline dataset was acquired in mid-2013 before the study wells were stimulated, the first monitor survey was acquired shortly after stimulation, and this latest dataset was acquired after 2+ years of production. The project is a unique opportunity to perform dynamic reservoir characterization in an unconventional setting.  

The study focuses on optimization for development of the Niobrara and Codell formations to increase hydrocarbon recovery. The research monitors the reservoir during a pilot well spacing and completion program conducted by Anadarko Petroleum Corporation, sponsor of the project. 

The project uses a wide range of high quality multi-disciplinary data including well-logs, core and outcrop data, microseismic, multi-component seismic data,  production logs and other engineering data. Anadarko Petroleum Corporation has provided the majority of these data - the multicomponent time-lapse data are jointly owned by CSM and Anadarko. 

Early-Stage Development - Vaca Muerta Formation

This integrated study in the Neuquén Basin aims to help identify reservoir sweet spots, optimize completions strategies, guide placement of future wells, and improve overall field development. The project is provided by Wintershall.   

Summer 2017 update:  Current topics include multicomponent seismic analysis, seismic inversion, anisotropy analysis, microseismic, well log analysis, sequence stratigraphy and geomechanical investigations. A new high-quality multicomponent seismic survey and a wide azimuth seismic survey acquired in late 2016 are complemented by a rich data set for the available offset wells, including full wireline log suite, cuttings, core data, image logs and production data. Test wells were stimulated and monitored with microseismic and VSP data. The complete geologic and geophysical data sets offer the opportunity to build a fully integrated geoscience workflow with geomechanical parameters, microseismic response, rock properties, fracture and pressure analysis to help identify the best prospective zones with frackable rock and hydrocarbon presence. 

Reservoir Characterization for CO2 Monitoring

This is a new project for RCP, launching in mid-2016. The project is a candidate for future CO2 flooding.  The aim of the research is to characterize a very thin Red River dolomite in the field to better understand the reservoir properties and determine appropriate geophysical and simulation tools for monitoring and optimization through time-lapse studies.  

Spring 2016 update:  Data is delivered to RCP by project sponsor Denbury.  At this stage, one PhD student is conducting investigations, analyzing the data and beginning modeling studies. Future research will include petrophysical studies, fault and fracture analysis, interpretation and inversion and reservoir simulation studies. 


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Last Updated: 09/28/2017 13:05:44