1 / 18

Virtual Seismic Strain Sensors

sasson
Download Presentation

Virtual Seismic Strain Sensors

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. Virtual Seismic Strain Sensors Andrew Curtis Heather Nicolson, David Halliday, Jeannot Trampert, Brian Baptie Edinburgh Seismic Research www.geos.ed.ac.uk/seismic University of Edinburgh ECOSSE www.geos.ed.ac.uk University of Utrecht www.geo.uu.nl

    2. Rationale

    3. Results of Our Work

    4. How standard interferometry works: Define volume V surrounded by either independently-recorded impulsive or uncorrelated noise sources on the bounding surface S Sources on S radiate energy into volume V Homogenous Green’s Function between any pair of points is obtained using reciprocity and the Representation Theorem ? equation below

    5. How standard interferometry works: Define volume V surrounded by either independently-recorded impulsive or uncorrelated noise sources on the bounding surface S Sources on S radiate energy into volume V Homogenous Green’s Function between any pair of points is obtained using reciprocity and the Representation Theorem ? equation below

    6. How virtual sensors are constructed: Obtain Green’s function between two impulsive sources if both are recorded on surrounding receivers on S ? One source acts as a Virtual Reciever If sources are represented by Moment Tensors MA and MB ? similar formula with left side

    7. How virtual sensors are constructed: Obtain Green’s function between two impulsive sources if both are recorded on surrounding receivers on S ? One source acts as a Virtual Reciever If sources are represented by Moment Tensors MA and MB ? similar formula with left side If sources A and B have source time functions represented by WA and WB, we obtain the above multiplied by WB* WA (cross-correlation) ? Phase may be shifted relative to real seismometers

    9. Results of Our Work

    10. Illustration

    18. Method Results are consistent with theory Essentially back-projects data recorded on real seismometers to a source location using empirical Green’s functions But also converts sensitivity-to-particle-motion at the seismometers, to sensitivity-to-displacements-or-strains-that-created-the-original-energy-source Implications Non-invasive sensors in the Earth’s subsurface Earthquake Virtual Sensors are concentrated directly within areas of tectonic and geological interest ? Intra-fault zone subsurface monitoring ‘Direct’ sensitivity to strain – seismic triggering?

More Related