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A prosperous and thorough analysis of gravity profiles for resources exploration utilizing the metaheuristic Bat
Khalid S Essa1,2, Omar A Gomaa3, Mahmoud Elhussein3
1Geophysics Department, Faculty of Science, Cairo University, Giza, 12613, Egypt. khalid_sa_essa@cu.edu.eg.
Scientific Reports
|February 10, 2025
Summary
This study introduces a new method combining the Metaheuristic Bat algorithm (MBA) and second horizontal gravity gradient (SHG) to precisely map subsurface structures. The approach enhances mineral exploration and volcanic studies by improving geological parameter estimation.
Area of Science:
- Geophysics
- Earth Sciences
- Resource Exploration
Background:
- Accurate subsurface structure identification is crucial for resource exploration and understanding geological phenomena like volcanic activity.
- Traditional gravity data analysis often struggles with regional effects, limiting the precision of subsurface parameter estimation.
- The Metaheuristic Bat algorithm (MBA) and second horizontal gravity gradient (SHG) offer potential for enhanced geophysical analysis.
Purpose of the Study:
- To develop and validate a novel methodology for precise subsurface structure parameter estimation.
- To improve the accuracy of identifying mineral and ore resources and studying volcanic activity.
- To eliminate regional effects in gravity data using variable window lengths in SHG computation.
Main Methods:
- Integration of the Metaheuristic Bat algorithm (MBA) with the second horizontal gravity gradient (SHG).
- Application of variable window lengths in SHG computation to isolate anomalies.
- Testing the methodology on synthetic datasets with varying geological complexities and noise levels.
- Validation using real-world gravity data from Canada, India, and Cuba.
Main Results:
- The proposed method demonstrated robustness in handling diverse geological complexities and noise in synthetic tests.
- Successful application to real gravity data from multiple international locations confirmed the method's reliability.
- Significant improvement in the precision of subsurface structural parameter estimation was achieved.
- Effective elimination of regional effects in gravity data was observed.
Conclusions:
- The combined use of variable window lengths in SHG and the MBA provides enhanced precision in subsurface structural parameter estimation.
- This methodology offers a transformative potential for mineral and ore resource exploration and volcanic activity studies.
- The research validates the practical applicability and reliability of the approach in real-world geological settings.
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