High-precision density inversion method and system for gravity anomalies based on regular, stable, and fast solution.

JP2026101597AActive Publication Date: 2026-06-22CHENGDU UNIVERSITY OF TECHNOLOGY
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
CHENGDU UNIVERSITY OF TECHNOLOGY
Filing Date
2025-09-30
Publication Date
2026-06-22

AI Technical Summary

Technical Problem

Conventional methods for solving the lower half of the Laplace equation in gravity anomaly data interpretation face challenges due to non-unique potential field solutions at the field source, leading to spurious anomalies and difficulty in interpreting field sources, especially with the Gibbs effect causing alternating positive and negative anomalies.

Method used

A high-precision density inversion method using regularized stable solutions with ground-based gravity anomalies as first-class boundary conditions, employing least-squares optimization iterative methods and frequency domain inversion to correct spurious anomalies, and constructing field source morphology through grid prisms.

Benefits of technology

This method provides high-speed, high-precision, and high-resolution gravity anomaly data free from spurious anomalies, enhancing the accuracy and speed of field source interpretation.

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Abstract

This invention discloses a high-precision density reversal method and system for gravity anomalies based on regular, stable, and high-speed solution. [Solution] Based on the above-mentioned field source regularization solution, we propose using data with false anomalies at the field source imaging depth as boundary value conditions. Again, by solving the upper space of the first class boundary value problem of Laplace's equation, we calculate gravity anomalies on the ground and perform least-squares optimization iterative solution with the actual ground anomalies to obtain high-precision anomaly imaging data at the field source depth that does not contain false anomalies due to the Gibbs effect. This depth is used as the top interface of the field source, and the top interface is divided into grid prisms to construct the field source morphology. Density inversion is performed on each prism top surface in the frequency domain to obtain the density distribution of the field source morphology. Since this algorithm is implemented in the frequency domain and the inversion is performed at a known field source depth, the present invention is a gravity density inversion method with high speed, high precision, and high resolution characteristics, and provides a new concept for realizing the solution of gravity field source density parameters.
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