研究了尖锐边界反演(SBI)与快速松弛反演(RRI)结合的MT二维反演方法。从初始模型构建出发,先进行RRI反演,然后采用模糊聚类方法从RRI反演结果构建SBI反演的初始模型,再进行SBI反演,最后得到一个折中的反演结果。模型数据反演结果表明这种结合反演的可靠性和收敛速度得到明显提高。最后对一条实测MT数据进行了SBI与RRI结合的二维反演,并与单独的RRI反演结果进行了对比,表明了这种结合反演具有较高的准确度。
SBI and RRI joint inversion of 2D magnetotelluric data is studied in this paper. In order to construct better starting model for SBI inversion, we use RRI inversion to inverse 2D magnetotellurie data firstly, then we use the fuzzy clustering method to build the starting model from the RRI inversion result, then we do SBI inver- sion. At last we get a compromise result. Two model examples are given to test this method in the paper. Com- pared with the result inversed by the RRI and SBI single inversion, the RRI and SBI joint inversion is proved to be more accurate and reliable. Finally, the RRI and SBI joint inversion was carried out on the real MT line data in Wuhan area, which showed higher correctness of the result in comparison with the same line's RRI result and the area geological data.