Three-dimensional inversion for Network-Magnetotelluric data

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11

Scientific paper

Three-dimensional inversion of Network-Magnetotelluric (MT) data has been implemented. The program is based on a conventional 3-D MT inversion code (Siripunvaraporn et al., 2004), which is a data space variant of the OCCAM approach. In addition to modifications required for computing Network-MT responses and sensitivities, the program makes use of Massage Passing Interface (MPI) software, with allowing computations for each period to be run on separate CPU nodes. Here, we consider inversion of synthetic data generated from simple models consisting of a 1 W-m conductive block buried at varying depths in a 100 W-m background. We focus in particular on inversion of long period (320-40,960 seconds) data, because Network-MT data usually have high coherency in these period ranges. Even with only long period data the inversion recovers shallow and deep structures, as long as these are large enough to affect the data significantly. However, resolution of the inversion depends greatly on the geometry of the dipole network, the range of periods used, and the horizontal size of the conductive anomaly.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Three-dimensional inversion for Network-Magnetotelluric data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Three-dimensional inversion for Network-Magnetotelluric data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Three-dimensional inversion for Network-Magnetotelluric data will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1064303

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.