S13B-2809
Characterization of the 2015 M4.0 Venus, Texas, Earthquake Sequence Using Locally Recorded Seismic Data
Monday, 14 December 2015
Poster Hall (Moscone South)
Monique Maria Scales1, Heather R DeShon1, Chris Hayward1 and Jacob I Walter2, (1)Southern Methodist University, Dallas, TX, United States, (2)University of Texas at Austin, Austin, TX, United States
Abstract:
We present high-resolution relative earthquake relocations derived using differential time data from waveform cross-correlation and first motion fault plane solutions to characterize the 2015 M4.0 Venus, TX, earthquake sequence. On 7 May 2015, a M4.0 earthquake occurred in Johnson County, TX, south of the Dallas-Fort Worth metroplex. It is the largest event recorded to date in the Fort Worth (Barnett Shale) Basin, which is an active shale gas production area that has been associated with induced earthquakes. The USGS moment tensor indicated normal faulting along NE-SW trending faults and two additional felt aftershocks were reported in the National Earthquake Information Center catalog. Beginning on 11 May 2015, a temporary seismic network was deployed. Over the first week, SMU deployed 13 vertical-component RT125s and 3 USGS NetQuakes instruments. The RT125s were replaced with 7 short-period 3-component instruments provided by IRIS and 4 broadband stations deployed throughout Johnson County by the University of Texas. To date, we have located over 100 events that define a 5 km long normal fault striking 35°NE and dipping ~70°. Events occur in the Precambrian granitic basement at depths of 4-6km. These locations are near the bottom of the Ellenburger Group (~3.5km in depth), which is an Ordovician carbonate platform overlying the basement and is often used for wastewater disposal. Five large volume injection wells operate within 10km of the earthquake sequence and inject very near, if not through, the Ellenburger-basement contact. These wells were temporarily shut down by the Texas Railroad Commission for testing but were reported at the time to have no causal effect on the earthquake activity. We explore temporal and spatial correlations between seismicity, wastewater injection data and subsurface fault data to better understand the cause of the Venus sequence.