A5032804462- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Planetary Science and Exploration
- High-pressure geophysics and materials
- Reservoir Engineering and Simulation Methods
- earthquake and tectonic studies
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Geophysics and Sensor Technology
Chevron (United States)
2023-2025
Chevron (China)
2024
Rice University
2020-2023
The Seismic Experiment for Interior Structure (SEIS) of the InSight mission to Mars, has been providing direct information on Martian interior structure and dynamics that planet since it landed. Compared seismic recordings Earth, ground motion measurements acquired by SEIS Mars are made under dramatically different ambient noise conditions, but include idiosyncratic signals arise from coupling between sensors spacecraft components. This work is synthesize what known about these signal types,...
Abstract The seismic structure of the Martian interior can shed light on formation and dynamic evolution planet our solar system. deployment seismograph carried by InSight mission provides a means to study internal structure. We used ambient noise autocorrelation analyze available vertical component data recover reflectivity beneath Insight lander. identify that is approximately periodic with sol as daily lander operations diurnal variation in weather tides. To investigate discontinuities at...
Abstract High-frequency seismic data on Mars are dominated by wind-generated lander vibrations, which radiated partially to the subsurface. Autocorrelation functions (ACFs) of filtered between 1 and 5 Hz show clear phases at ∼1.3, ∼2.6, ∼3.9 s. Daily temporal changes their arrival times (dt/t) correlate well with daily ground temperature, ∼5% variation ∼50 min apparent phase delay. The following two mechanisms could explain observations: (1) interference predominant spectral peaks ∼3.3 ∼4.1...
Abstract A purpose of the Interior Exploration Using Seismic Investigations, Geodesy and Heat Transport (InSight) mission is to reveal Martian interior structure with seismic data. In this work, ambient noise autocorrelation continuously recorded vertical‐component signals has extracted Rayleigh waves that propagate around Mars for one cycle, R 2 . The orbiting surface are observed at a lag time ∼6,000 s in stacked series filtered between 0.005 0.01 Hz. Synthetic seismograms from set...
Abstract The InSight mission deployed one seismic station on Mars, providing a chance to apply single‐station‐based autocorrelation analysis investigate Martian subsurface structures. However, recent indicated the low‐frequency signals may originate from quasi‐periodic high‐amplitude instrumental “glitches” rather than reflection response of deep Mars. In this study, we detected and removed these glitches in raw data employed clean vertical component waveforms filtered between 0.05 0.1 Hz....
Temporal changes of S-wave velocities at shallow depth on Mars are derived using seismic data from the InSight mission. Autocorrelation functions computed for three-component recordings to retrieve zero-offset reflection seismograms. Observed phase with two-way travel time ~1.2 s and its multiples indicate an interface ~200 m depth. Daily relative (dt/t) ~5% variations correlated well surface temperature. A top ~1m-thick regolith layer produces a delay about one Martian day between dt/t...