
The Cape Modern project near Milford, Utah was stimulated as a plug-and-perf hydraulic fracture completion in granitic host rock. The project was monitored for seismicity by a network of seismometers on the surface, shallow-boreholedeployed sensors, 3C passive sensors deployed closer to stimulation depth, and DAS fiber-optic cables deployed in multiple wells. Dadi et al. (2024) showed how induced seismicity traffic light protocols, stimulation of a preexisting fracture network, and the distribution of moment tensors can all be inferred from analyses on these different data streams. Initial locations from the surface/near-surface network, after relative relocation, agree remarkably well with the DAS locations within a static shift, as described by Lambert et al., (2025). With the locations established through high-precision processing, we turn to the seismic source parameters for analysis. Correcting for geometrical and anelastic attenuation, we fit a source model to the spectra for windowed P and S waves and measure the radiated energy. An analysis indicates that the events show a propensity to slip-weakening modes of failure, indicating that these events may be connected with processes of pore-pressure increase. We analyze these events with reference to the injection.
| 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). | 0 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
