Abstract
In this paper, we proposed a fast interpretation method for gravity gradiometry data, based on the magnetic dipole localization method. It could automatically and rapidly locate the horizontal and vertical positions of gravity targets without prior information. This method was successfully tested on synthetic data. Compared with gradient ratio method (tilt-depth) and Euler deconvolution, our method provided good performance in the gravity gradiometry data with high noise levels and superimposed fields. Point selection was processed among the inversion results to improve the resolution of our method. Statistical analysis and Gaussian fitting were also used to improve the stability and accuracy of the calculation. Finally, we applied this algorithm to gravity gradiometry data over Vinton Dome; the results are consistent with previous research in this area.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
