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Characterizing Moment Tensor Derived Discrete Fracture Networks Utilizing Topological Approaches
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
By utilizing a three-dimensional sensor network around target volumes undergoing multi-stage stimulations, it is possible to discern fracture orientations, failure mechanisms and their rupture characteristics by utilizing moment tensor analyses coupled with the identification of source characteristics. This provides an opportunity to identify the discreet fracture network. In this paper, we examine the spatial variability in the fracture network using scanline and topological approaches to characterize fracture branch development. Utilizing a data set recorded in a North American shale play, we establish the spatial criteria and fracture development that can lead to increased percolation and production. Further, we show that the observed relationships define a behavior as suggested by hybrid analytical models based on trilinear flow. We identify both volumes of primary and secondary production (i.e., stimulated reservoir volume, contributions from both inner and outer zones), surrounded by a non-contributing zone of isolated fractures. This study provides the impetus for defining input constraints on model development and in rate transient analysis.