Polymetallic mineralization prospectivity modelling using multi-geospatial data in logistic regression: The Diapiric Zone, Northeastern Algeria

Bencharef, Mohammed Hichem; Eldosouky, Ahmed M.; Zamzam, Sara; Boubaya, Djamel

doi:10.1080/10106049.2022.2097481

Cited by 27 publications

(8 citation statements)

References 109 publications

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“…In recent years, spatial data has been often used in mineral exploration and mineralization prediction modeling (Eldosouky et al, 2021;Bencharef et al, 2022), and has achieved good results. Or combine remote sensing data with geophysical methods to extract alteration mineral information and apply it to mineral deposits (Eldosouky et al, 2020;Mahdi et al, 2022), and remote sensing data is becoming more and more important.…”

Section: Discussionmentioning

confidence: 99%

“…Remote sensing data primarily used include TM, Landsat-8, and ASTER. Several studies worldwide have successfully extracted Al-OH-bearing, Mg-OH-bearing, and iron mineralization alterations from remote sensing data and created the relevant alteration information extraction process for these data (Herrmann et al, 2001;Yang, 2007;Zhang et al, 2007;Lv et al, 2009;Pour and Hashim, 2011;Yang et al, 2012;Huang, 2013;Masoumi et al, 2017;Eldosouky et al, 2020;Jonas et al, 2020;Bencharef et al, 2022;Mahdi et al, 2022). However, the medium-resolution multispectral data such as ASTER can easily map the large-scale alteration zone, but it is difficult to map the geological outcrop with small scale.…”

Section: Introductionmentioning

confidence: 99%

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Extracting hydrothermally altered information using WorldView-3 data: a case study of Huitongshan, NW Gansu, China

Chen,

Gao,

Xie

et al. 2023

Front. Earth Sci.

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Introduction: The Huitongshan skarn-type deposits, in which ore bodies primarily occur in the outer contact zone between K-feldspar granite and marble in the Beishan area, are evidently related to hydrothermal alteration of the surrounding rock. Key mineral alteration processes include serpentinization, epidotization, chloritization, carbonatization, jarosite, ferritization, and hematitization.Methods: WorldView-3 (WV-3), a satellite-recorded high-spatial resolution multispectral image, has been widely used in the exploration and prediction of different types of deposits around the world. In this study, WV-3 multispectral images were used to extract the spatial distribution data of the main altered minerals in the Huitongshan area. Dedicated radiometric calibration, atmospheric correction, and image fusion were used to pre-process the extracted spectral information related to hydrothermal alteration. In addition, directed principal component analysis (PCA) and a unique mineral index were designed based on the effective use of the WV-3 data band corresponding to the spectral absorption characteristics of altered minerals.Results: The findings of this study show that the PCA model and mineral index pro-posed herein are reliable both in theory and for practically obtaining extraction information. Additionally, the WV-3 data are well suited for identifying hydroxy-bearing alterations with rich short-wave infrared bands that distinguish Fe-OH–bearing alterations from Mg-OH–bearing alterations. The results obtained were applied to identify potential targets for skarn-type copper deposits and the implementation of prospecting practices.Discussion: This study provides a basis for the application of WV-3 data as an important and effective tool for alteration information extraction and determination of prospecting practice, thereby proving the validity of multispectral remote sensing images in mineral resource exploration.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extracting hydrothermally altered information using WorldView-3 data: a case study of Huitongshan, NW Gansu, China

Chen,

Gao,

Xie

et al. 2023

Front. Earth Sci.

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“…Geomagnetic method is an effective tool in investigating magnetized geologic sources (Boukerbout et al., 2018; Ekinci, Büyüksaraç, et al., 2020; Ekinci & Yiğitbaş, 2012; Ekvok et al., 2022; Essa, Munschy, et al., 2022; Kaftan, 2017; Oruç, 2011; Pham et al., 2022; Xu et al., 2011). Additionally, it is frequently applied in economic resource explorations due to the adequate magnetization contrast between surrounding rocks and ore/mineral deposits (Bencharef et al., 2022; Biswas, 2018; Eldosouky et al., 2021; Hinze et al., 2013; Kharbish et al., 2022; Spector & Lawler, 1995). Estimation of source‐body model parameters is an essential step in the interpretation of geomagnetic anomalies (Ekinci et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

Ai,

Ekinci,

Balkaya

et al. 2023

Earth and Space Science

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Geomagnetic anomaly interpretation through inversion procedures often yields useful results in determining the key details of ore masses. However, the problem is complicated due to the known ambiguous phenomena of the inversion process. Thus, details such as location, depth and shape can only be estimated using an efficient algorithm. To this end, we presented here a novel global optimization algorithm called Hunger Games Search (HGS) for the inversion of geomagnetic anomalies caused by ore masses. HGS is a well‐organized metaheuristic inspired by the hunger‐driven instincts and social behavioral decisions of animals. This is the first work in the literature to introduce this optimizer for the inversion of geophysical anomalies. We revealed the model parameter dependencies and the optimum control parameter values of the algorithm by performing some modal analyses and parameter tuning studies, respectively. The capability of HGS was demonstrated on synthetically produced geomagnetic responses and on three real anomalies obtained from some exploration fields in India and the USA. Uncertainty appraisal studies showed the solidity of the outputs of the algorithm. Moreover, some comparative studies with the fine‐tuned standard Particle Swarm Optimization, a commonly used tool for the inversion of geophysical anomalies, indicated that HGS algorithm provides better results in terms of convergence characteristics and solution stabilities in the presented inverse problem. We therefore recommend the use of this metaheuristic in model parameter estimation studies when dealing with this kind of geophysical potential field problems.

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“…Aeromagnetic exploration is a powerful and fast, convenient and economical technique enabling the delineation of geological structures and exploration of mineral resources. It has been applied in the exploration of geotectonics, faults, igneous rocks, craters, magnetic-related polymetallic deposits, and extraction of hydrothermal alterations (Muundjua et al, 2007;Ortiz-Alemán and Urrutia-Fucugauchi, 2010;Gao et al, 2016;Elkhateeb and Abdellatif, 2018;Sridhar et al, 2018;Eldosouky et al, 2020;Shebl et al, 2021;Xiong, 2021;Bencharef et al, 2022;Ekpe et al, 2022;ElGalladi et al, 2022;Mahdi et al, 2022;Mamouch et al, 2023). Hereinto, two factors have to be taken into account before interpretation or inversion.…”

Section: Introductionmentioning

confidence: 99%

An aeromagnetic denoising-decomposition-3D inversion approach for mineral exploration

Xiu

Gao

et al. 2023

Front. Earth Sci.

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Reduction of aeromagnetic noise and extraction of mineralization-related residual anomalies are critical for aeromagnetic data processing in mineral exploration. This study introduced a multifractal singular value decomposition (MSVD) method to remove the noise and improved the bi-dimensional empirical mode decomposition (BEMD) algorithm to extract residual magnetic anomalies. It is shown that MSVD and improved BEMD could effectively reduce the noise and extract residual magnetic anomalies. Then, a wavenumber–domain iterative approach is applied in 3D imaging of magnetic anomalies and gradients with depth constraints, which is a rapid tool for qualitative and quantitative interpretation of magnetic data and is suitable for rapidly imaging large-scale data. The 3D inversion result is verified by four geological sections along the regional tectonic directions and some drilling holes on the deposits. It is revealed that this proposed approach is practical and effective in dealing with aeromagnetic data interpretation and inversion for mineral exploration.

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Polymetallic mineralization prospectivity modelling using multi-geospatial data in logistic regression: The Diapiric Zone, Northeastern Algeria

Cited by 27 publications

References 109 publications

Extracting hydrothermally altered information using WorldView-3 data: a case study of Huitongshan, NW Gansu, China

Extracting hydrothermally altered information using WorldView-3 data: a case study of Huitongshan, NW Gansu, China

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

An aeromagnetic denoising-decomposition-3D inversion approach for mineral exploration

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