
doi: 10.2523/77439-ms , 10.2118/77439-ms
Abstract Microseismic results are presented for hydraulic fracture stimulations monitored in the Cotton Valley, East Texas. In particular, we examine whether additional information on the microseismic source such as the apparent stress release values can be used to effectively identify differences in the generation process of individual or clusters of microseismic events and the development of the overall hydraulic fracture in both space and time. Trends in apparent stress have been used to establish different modes of failure, with increased apparent stress values at the leading edge of the hydraulic fracture and lower apparent stress values behind the leading edge. We suggest that the failures are along a pre-existing network of fractures and include significant non-shear components of failure for events occurring behind the hydraulic fracture front. At the extremities of the hydraulic fracture as the stimulation proceeds we suggest that the redistribution of stresses as a result of the injection increase the average shear driving stress resulting in shear dominated failures. Overall, the hydraulic fracture can be characterized by regions of shear and nonshear type failures, further suggesting that the relative permeability of the fracture network can possibly be identified.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
