فهرست نشریات علمی دسترسی آزاد ایران

Non-uniqueness and instability of single geophysical approaches may be reduced by utilizing constraints and a priori information in terms of regularization, but deriving enough information about subsurface sources generally demands integration of two or more geophysical data sets. Cross gradient based joint inversion is one of the most widespread ways of geophysical data integration where involved methods share their information for each other through cross gradient function. In this paper, the joint inversion of DC resistivity and EM34 data was applied to the measured data at Morgenzon Farm site in South Africa, where the reconstruction of a dolerite dyke or sill is the principal target indicating the presence of groundwater. The separate inversion of DC resistivity data highlights a two layered medium as an interface and a small weak anomaly in the middle of the profile, while EM34 inverse model indicates a resistive dyke in the middle of the profile with a depth range from 5 to 15 m. Join inversion allows the involving methods to propagate their characteristics to each other, and it was found that joint inverse model of the DC resistivity is the best result to reconstruct the subsurface structure. In addition, joint inversion results were compared with the cooperative inversion of these approaches. Ultimately, the measured magnetic and gravity data were also inverted, allowing their joint interpretation with the separate and joint resistivity models.