Identification of intraterrane dislocation zones and associated mineralized bodies is of immense importance in exploration geophysics. Understanding such structures from geophysical anomalies is challenging and cumbersome. In the present study, we present a fast and competent algorithm for interpreting magnetic anomalies from such dislocation and mineralized zones. Such dislocation and mineralized zones are well explained from 2D fault and sheet-type structures. The different parameters from 2D fault and sheet-type structures such as the intensity of magnetization (k), depth to the top (z1), depth to the bottom (z2), origin location (x0), and dip angle (θ) of the fault and sheet from magnetic anomalies are interpreted. The interpretation suggests that there is uncertainty in defining the model parameters z1 and z2 for the 2D inclined fault; k, z1, and z2 for the 2D vertical fault and finite sheet-type structure; and k and z for the infinite sheet-type structure. Here, it shows a wide range of solutions depicting an equivalent model with smaller misfits. However, the final interpreted mean model is close to the actual model with the least uncertainty. Histograms and crossplots for 2D fault and sheet-type structures also reveal the same. The present algorithm is demonstrated with four theoretical models, including the effect of noises. Furthermore, the investigation of magnetic data was also applied from three field examples from intraterrane dislocation zones (Australia), deep-seated dislocation zones (India) as a 2D fault plane, and mineralized zones (Canada) as sheet-type structures. The final estimated model parameters are in good agreement with the earlier methods applied for these field examples with a priori information wherever available in the literature. However, the present method can simultaneously interpret all model parameters without a priori information.
Self-Potential data have been widely used in numerous applications. The interpretation of SP data from subsurface bodies is quite challenging. The advantages of geophysical inversion for interpreting non-linear geophysical problems have gained a great deal of attention over conventional interpretation. The efficiency of the present inversion approach in interpreting SP anomalies from a thin dipping layer/bed is presented in the study. The inversion approach was applied to interpret synthetic model parameters such as the self-potential of the layer (k), depth to the body top (h), location of the body (x0), dip angle (θ), and the upper and lower end of the sheet (δ1 and δ2). The interpretation of the results showed that the parameters Δh, δ1, and δ2 exhibited a wide range of results. The estimated parameter values lay within the limit of uncertainty. The inversion approach was also applied to two field datasets obtained from polymetallic deposits in Russia and Azerbaijan for mineral exploration purposes and one from a buried ancient Roman limestone construction in Halutza, Israel, for the purposes of archaeological study. The field investigation results demonstrate a good agreement with previous works of literature. The efficiency of the present approach for interpreting SP anomalies from thin layer/bed-like structures is shown in this study.
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