MAETEC: An Optimized MATLAB-Based Approach for Accurate and Efficient Terrain Correction in Complete Bouguer Anomaly

Authors

DOI:

https://doi.org/10.17794/rgn.2025.5.4

Keywords:

Terrain correction, gravity method, complete Bouguer anomaly, flat-top square prism, efficient algorithm

Abstract

Terrain correction is important in generating accurate Complete Bouguer Anomaly (CBA) maps and is essential for gravity studies. Traditional methods for terrain correction can be time-consuming, and many computerized programs are computationally intensive. To address these challenges, we introduce MAETEC, an optimized algorithm MATLAB-based approach designed to enhance the efficiency and accuracy of terrain correction in CBA computations. MAETEC uses an effective algorithm and MATLAB's parallel computing capabilities to speed up the terrain correction process. Our approach integrates simple gravity equations, e.g. Nagy prism and its simplification techniques, zonation strategy, and parallel processing to significantly reduce computation time without compromising accuracy. Validation of MAETEC against other terrain correction software and methods demonstrates its effectiveness in producing precise CBA maps with reduced processing times. We illustrate the application of MAETEC through a case study in a geothermal exploration area and also for a regional gravity study. The results show a marked improvement in the efficiency of terrain correction compared to existing available software, e.g. GTeC, Oasis, and TCDEMF, making MAETEC a valuable gravity processing tool. Overall, MAETEC offers a fast, accurate, and user-friendly solution for terrain correction, facilitating the generation of high-quality CBA maps and advancing our understanding of subsurface geological structures.

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Published

2025-10-21

Issue

Section

Applied Mathematics, Physics, Space Sciences

How to Cite

MAETEC: An Optimized MATLAB-Based Approach for Accurate and Efficient Terrain Correction in Complete Bouguer Anomaly. (2025). Rudarsko-geološko-Naftni Zbornik, 40(5), 43-56. https://doi.org/10.17794/rgn.2025.5.4

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