This analysis demonstrates combined seismic and MT methods to improve conductivity models in Queensland, highlighting reduced solution non-uniqueness.
Research on deep geological structures is becoming increasingly important when needs of deep mineral resources is increasing. The most effective geophysical methods for deep exploration are magnetotellurics (MT) and seismic methods. Analyzing MT and seismic data provides valuable deep structures insights into the geophysical environment. However, a geophysical inversion method often faces non - uniqueness of solutions when it can produce a range of inverted models that provides great misfits. In this paper, we propose a inversion processing technique that utilizes known information from seismic data to build a suitable conductivity model. First, the seismic data provide the geological boundary. Next, we construct a weight matrix that incorporates this boundary information to guide the inversion process. Finally, the obtained inversion result includes details about the resistivity and boundaries of the geological environment. Our cooperative technique is tested using MT and seismic data collected from the Queensland region, Australia. The resulting inverted images provide critical information about the boundaries and resistivity of the rock within this area.
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Nguyen et al. (2025) studied this question.
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