T88 Advances in Explosion Source Monitoring
Monday, 16 October 2023
8:00 AM - 12:00 PM
329
MAPPING BASIN GEOMETRY WITH A NOVEL JOINT INVERSION OF GRAVITY AND SEISMIC DATA TO ENHANCE THE SALT LAKE VALLEY, UTAH COMMUNITY VELOCITY MODEL
Paper number: T88-12
Program: Technical Sessions
Time: 10:35 AM – 10:50 AM
Authors
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Christian HardwickUtah Geological Survey, Salt Lake City, UT
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HyeJeong KimUniversity of Utah, Salt Lake City, UT
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Adam P. McKeanUtah Geological Survey, Salt Lake City, UT
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Fan-Chi LinUniversity of Utah, Salt Lake City, UT
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Tonie van DamUniversity of Utah, Salt Lake City, UT
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Torri DuncanUtah Geological Survey, Salt Lake City, UT
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Skadi KobeUtah Geological Survey, Salt Lake City, UT
Abstract
The previous CVM, published in 2008, was constructed using basin-wide gravity surveys and limited local measurements including sonic logs, geology, and seismic data. Because the spatial density of the regional seismicity data was limited, legacy gravity data played an important role in the CVM development. In this study, we have incorporated an additional 1000 gravity measurements collected across the Salt Lake Valley. Basin-wide seismic observations from the Magna earthquake aftershock receiver array added critical observations for improving the accuracy of the CVM.
We leveraged the complementary sensitivity of gravity, seismic, and other relevant geologic data by performing a novel joint inversion of gravity and seismic data to construct a new 3D model of the Salt Lake Basin. This model uses newly collected gravity measurements to validate legacy geophysical data and integrates the new and legacy datasets to improve model precision. We modeled the gravity field with an updated Complete Bouguer Gravity Anomaly map and determined the local gravity anomaly attributed to basin structure by separating the regional field. This model will provide insight into a future CVM revision and benefit the 2.6 million people living within the Wasatch Front urban corridor as this community continues to grow.
Geological Society of America Abstracts with Programs. Vol. 55, No. 6
doi: 10.1130/abs/2023AM-394786
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