Residual and regional separation of gravity data using bi-dimensional ensemble empirical mode decomposition (BEEMD) approach

Articles in Press

Authors

1 Geopuysiscs Group, Gsi , Tehran , Iran

2 Department of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran

Abstract

Separating residual and regional anomalies from the Bouguer gravity anomaly is challenging in the gravity data processing. The residual anomalies are commonly used for modeling and processing gravity data. Some methods have been introduced to isolate the residual and regional components of gravity data, resulting in different residual anomalies for the same Bouguer gravity anomaly. One of these separation methods uses a bi-dimensional empirical mode decomposition (BEMD) algorithm. Its results are far from the true residual anomaly in the complex geological structure due to the major significant central problem with the BEMD known as mode-mixing. We use the bi-dimensional ensemble empirical mode decomposition (BEEMD) to improve residual and regional anomaly separation. The BEEMD reduces the mode-mixing problem in BEMD by applying the sifting process on an ensemble of white noise-contaminated signals, followed by averaging the results to arrive at the final favorite result. This method is used for synthetic and field data taken over chromite deposits in Camaguey province, Cuba. Using the presented approach on synthetic and field data, compared to conventional BEMD and polynomial fitting methods, shows the efficiency of this method in residual and regional anomaly separation. Furthermore, the estimated residual anomaly by the presented method on real data matches the drilling information.

Keywords


Articles in Press, Accepted Manuscript
Available Online from 25 November 2025

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