Density Determination via Bouguer Gravity Anomaly Segmentation
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Solution Overview
Problem
Existing density determination methods in geophysical exploration are inaccurate due to the direct use of high-frequency anomalies as local gravity anomalies, which are not necessarily representative, leading to incorrect density distributions of underground target bodies.
Innovation Solution
A method that calculates local gravity anomalies by determining the difference between Bouguer gravity anomalies of a target body and a reference body, using a specified depth and measurement point configuration to accurately obtain density distributions in transverse cross-sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If high-frequency anomalies in Bouguer gravity anomalies are directly used as local gravity anomalies, then the processing is simple, but the accuracy of density determination deteriorates
Solution Approach 1:
The patent segments the Bouguer gravity anomaly into two distinct components: local gravity anomaly (high-frequency component related to shallow targets) and regional gravity anomaly (low-frequency component related to deep structures). This segmentation is achieved through spectral analysis and filtering techniques that separate the anomaly spectrum into different frequency bands, allowing each component to be processed independently for accurate density determination
Solution Approach 2:
The patent extracts the regional gravity anomaly component from the total Bouguer gravity anomaly through spectral filtering and removal techniques. By isolating and removing the low-frequency regional component, the method obtains a purified local gravity anomaly that accurately represents shallow subsurface features, thereby improving density determination accuracy without excessive processing complexity
2Device complexity
If multi-scale division is used to obtain local gravity anomalies, then the theoretical framework is improved, but the accuracy deteriorates due to prediction model limitations
Solution Approach 1:
The patent employs dynamic spectral filtering techniques that adaptively adjust filtering parameters based on the characteristics of the gravity anomaly data. Instead of using fixed multi-scale division thresholds, the method dynamically determines optimal filtering cutoffs through spectral analysis, allowing the processing to adapt to different geological conditions and improve accuracy while maintaining theoretical rigor
Solution Approach 2:
The patent changes the parameter representation from spatial domain multi-scale division to frequency domain spectral filtering. By transforming the gravity anomaly data into the frequency domain and applying spectral filtering with optimized cutoff frequencies, the method achieves more accurate separation of local and regional anomalies, improving density determination accuracy while preserving the theoretical framework
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for more accurate density determination of underground target bodies by distinguishing between local and regional gravity anomalies, improving the precision of density inversion results.
Implementation Method 1
In gravity detection, it is often necessary to invert density anomalies based on gravity anomalies in order to recognize the spread of underground objects
Data Source
AI summary
Disclosed are density determination method, apparatuses, and electronic device, applied in geophysical exploration, comprising: acquiring Bouguer gravity anomalies at measurement points for a target body to be measured; determining a Bouguer gravity anomaly of the target body for each measurement point as a first anomaly based on the Bouguer gravity anomalies at the measurement points, and determining a Bouguer gravity anomaly of a reference body corresponding to the target body to be measured at the measurement point as a second anomaly at the measurement point, based on the Bouguer gravity anomalies at the measurement points; calculating a difference between the first anomaly and the second anomaly at the measurement point as a local gravity anomaly; and performing density inversion on the target body to be measured to obtain density distribution in transverse cross-section of the target body, thereby obtaining the density of the target body more accurately.