--> ABSTRACT: One-Dimensional Robust Inversion of MT Data Applied for Interpretation of CSAMT Far-Field Data in Merapi Volcano, Indonesia, by Enjang Jaenal Mustopa, Supriadi Supriadi, Doddy Sutarno, and Keisuke Ushijima; #90913(2000).
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ABSTRACT: One-dimensional robust inversion of Previous HitMTNext Hit data applied for interpretation of CSAMT far-field data in Merapi volcano, Indonesia

Enjang Jaenal Mustopa1, Supriadi Supriadi2, Doddy Sutarno3, and Keisuke Ushijima4
(1) Exploration Geophysics Laboratory Dept. of Earth Resources System Engineering, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan, phone: +81-92-6423643, fax: +81- 92-6423614, [email protected]
(2) Physics Department, Semarang State University (UNNES), Jl. Raya Sekaran, Gunung Pati, Semarang
(3) Physics Department, Bandung Institute of Technology, Jl. Gannesha 10, Bandung, 40132
(4)Exploration Geophysics Laboratory, Department of Earth Resources System Engineering, Kyushu University, Fukuoka, 812-8581, Japan

In the past time, some authors have published papers about 1-D inversion Previous HitmethodNext Hit of Previous HitMagnetotelluricNext Hit (Previous HitMTNext Hit) data through least-square (LS) Previous HitmethodNext Hit. Ls Previous HitmethodNext Hit assumes simple Gaussian statistic. However estimation procedure based on LS would not be statistically optional, as outliers (abnormal data) are frequently superimposed on a normal ambient Previous HitMTNext Hit noise field which is approximately Gaussian. In this situation can be seriously misleading.

This paper introduces an inversion Previous HitmethodNext Hit by a robust procedure, which is commonly based on the least square (LS) approach, by minimizing the separation between observed data and computed apparent resistivity of the parameter model involved in the inversion problem. Huber hybrid Previous HitmethodNext Hit, one of technique for getting weighting factor, is used in this robust procedure. The first solution in the iterative Previous HitmethodTop involves LS procedure. Singular Value Decomposition (SVD) is also used in which produces significant improvement in computational precision. Nevertheless, inversion technique does not result a unique solution.

This procedure is applied to interpret Controlled Source Audio frequency (CSAMT) far-field data from Merapi volcano which the final result is determination of resistivity upper structure of Merapi Volcano.

AAPG Search and Discovery Article #90913©2000 AAPG International Conference and Exhibition, Bali, Indonesia