Dynamic Reservoir Characterization: Multicomponent 4D
by Steven Roche and Thomas Davis
Duration: Two days
Intended Audience: Intermediate level
Prerequisites (Knowledge/Experience/Education Required): The course is applicable to all levels and more importantly geologists and petroleum engineers.
This course covers time-lapse (4-D), multicomponent (9-C), 3-D seismic monitoring studies performed within RCP at Vacuum Field, New Mexico, Weyburn Field, Saskatchewan, Rulison Field, Colorado, Postle Field, Oklahoma and Delhi Field, Mississippi. Both Vacuum and Weyburn Fields are mature carbonate reservoirs undergoing tertiary recovery using CO2 injection. Postle and Delhi Fields are clastic sandstone reservoirs, also undergoing tertiary CO2 injection. Rulison Field is a tight gas sandstone reservoir within a basin-centered gas play. Results show that pressure and fluid changes associated with the reservoir processes result in rock property changes detected using surface 9-C seismic data over time (dynamic reservoir characterization).
Many time-lapse projects being reported in the literature today are focused on reservoirs where compressibility is the primary time-lapse signature. This study focuses on carbonate and clastic rocks where changes in rigidity, detected using measurements of shear wave anisotropy, are the primary observations to infer reservoir processes. All projects, with the exception of the Delhi Field study, are full 9-C data volumes, utilizing both vertical and horizontal vibrators as P- and S-wave sources recorded by multicomponent geophones.
Geoscientists curious about multicomponent applications in both static and dynamic reservoir characterization will benefit from attending. Emphasis is on real data examples but also provides a general theoretical background to relate the data observations and conclusions to current research efforts. This course offers a head start up the multicomponent learning curve by presenting case studies of dynamic reservoir characterization projects from field records through multidisciplinary integration.