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

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نویسندگان

1 تهران، میدان آزادی، بلوار معراج، سازمان زمین شناسی و اکتشافات معدنی کشور

2 دانشکده مهندسی معدن، نفت و ژئوفیزیک، دانشگاه صنعتی شاهرود

3 دانشکده معدن، نفت و ژئوفیزیک، دانشگاه صنعتی شاهرود

چکیده

The accurate separation of residual and regional anomalies from Bouguer gravity data constitutes a fundamental challenge in geophysical data processing, with significant implications for mineral exploration and geological interpretation. Residual anomalies serve as critical inputs for modeling and interpreting gravity data in various geological contexts. Numerous computational methodologies have been developed to isolate these components, frequently producing substantially different residual anomalies from the same initial Bouguer gravity dataset, thereby complicating geological interpretation. One prominent approach employs the bi-dimensional empirical mode decomposition (BEMD) algorithm; however, its effectiveness diminishes considerably in geologically complex terrains due to the mode-mixing phenomenon, a fundamental limitation that produces substantial deviations from the true residual anomaly. To address this critical limitation, our research implements an advanced bi-dimensional ensemble empirical mode decomposition (BEEMD) framework to enhance the separation process. The BEEMD technique effectively alleviates mode-mixing deficiencies by systematically executing the sifting process on multiple realizations of signals augmented with controlled white noise, followed by sophisticated ensemble averaging to derive the final optimal decomposition while preserving essential geological features. We comprehensively validated this methodology using both carefully designed synthetic data models and extensive field data acquired from chromite deposits in Cuba's Camaguey province. Rigorous comparative analysis against conventional BEMD and polynomial fitting methods unequivocally demonstrates the superior efficacy and robustness of our proposed approach in achieving precise separation of residual and regional anomalies across diverse geological scenarios. Critically, and of paramount practical importance, the residual anomaly extracted from field data through our innovative method exhibits remarkable consistency with drilling information, thereby validating its practical utility for mineral exploration programs and highlighting its potential for broader application in geophysical interpretation workflows.

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انتشار آنلاین از تاریخ 04 آذر 1404

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