Abstract:

Gradient detection technology is widely used in the geophysical measurement for its great capacity, high precision and low noise level et al, but there are few methods for interpreting gradient data now. The authors presented a new gradient interpretation method here, called gradient deconvolution method. The new method can obtain the locations of the causative sources with gradient data, and eliminate structural index from the calculation equation and thus avoids the errors produced by improper structural index selection. We tested the gradient deconvolution method with synthetic potential data.The inversion results show that the misfit between the theory and inversion result is less than 5%, and the inversion results are more stable and correct compared to the conventional Euler deconvolution method. At last, we applied the gradient Euler deconvolution method to measured aeromagnetic gradient data, and obtained the distribution of underground iron mine.

Key words: gradient detection, deconvolution, structural index, exploration