Understanding the lateral heterogeneity of tight shales plays prior to hydraulic fracturing is important for hydrocarbon production and recovery. Using the multicomponent seismic data set from Pouce Coupe Field, Alberta, we set out to try to predict the rock fabric of the Montney Shale. Our objective in this study is to understand the lateral and vertical heterogeneity using multi-attribute analysis of wells integrated with multicomponent seismic data focusing on rock fabric. The result is a consistent methodology beginning with a cluster analysis of the logs that are affected by composition, combined with the results from post-stack and pre stack inversion of the baseline of 4D seismic data to determine elastic rock properties, to predict areas of better rock quality. The integration of this analysis with production data of two horizontal wells in the area shows that the composition itself has a major influence on the rock quality of the Montney C and D units. The combined interpretation of this work with an understanding of the natural fracture system and the stress state of the reservoir can then provide a rock quality index (RQI) that can aid in future exploration and operational development of shale reservoirs worldwide.
Understanding Rock Quality Heterogeneity Using Combined Multicomponent Seismic Inversion and Well Log Cluster Analysis - Montney Shale Reservoir, Pouce Coupe Field, Alberta, Canada
Duenas, Claudia J., Davis, Thomas, D'Amico, David, and Tyler MacFarlane. "Understanding Rock Quality Heterogeneity Using Combined Multicomponent Seismic Inversion and Well Log Cluster Analysis - Montney Shale Reservoir, Pouce Coupe Field, Alberta, Canada" Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Denver, Colorado, USA, August 2014. doi: https://doi.org/10.15530/URTEC-2014-1921332
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