Abstract
This paper examines the matched field tomographic approach when applied to the simulated data set designed by Chiu.1 The Chiu data set simulates a highly realistic, large (1000 km by 1000 km), deep ocean environment and was designed to serve as a test case for the comparison of various tomographic methods. Calculations show that: 1) the matched field method applied to each quarter of the region (500 km by 500 km) while deploying reasonable resources, e.g., four 1000 m long vertical arrays and a maximum of 174 shot sources, results in excellent accuracies, e.g., rms errors of approximately 0.5 m/sec at 300 m depth (the depth of maximum variability), and 2) these errors are relatively insensitive to expected errors in source and array location, and in source depth. We also find that resolution degrades, i.e. errors increase, as the number of sources decreases and also as source frequency decreases.
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