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How The Choice Of Location Algorithm Affect Results: A Synthetic Comparison
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Seventh EAGE Workshop on Passive Seismic 2018, Mar 2018, Volume 2018, p.1 - 5
Abstract
Summary
A priori assessment of the expected location accuracy of a sensor network is typically done through inversion of the travel-time spatial gradients. This approach assumes that the applied location algorithm successfully recovers the global minimum of the objective function. However even for phase-picks without errors, complexity in the velocity model and limitations in network layout may inhibit the finding of a global minimum. The location algorithms may end up in a local minimum instead. This study focuses solely on the algorithmic aspects of the event location procedure. For a series of synthetic microseismic event locations, we calculate arrival times, add picking errors, and then feed these synthetic picks into a set of different location routines which look for minima in selected misfit objective functions. While most of the analyzed location approaches mainly lead to good location results, none of the analyzed approaches recovered the correct location for all event locations.
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