Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China

Zuo, Renguang; Cheng, Qiuming; Agterberg, Frits; Qin, Xia

doi:10.1016/j.gexplo.2008.08.003

Cited by 213 publications

(64 citation statements)

References 29 publications

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“…b and d log-log (base 10) plots showing the relationship between the average element concentration values l (x, e) and box size e for a and c, respectively, with a -2 estimated from slopes of straight lines, that is a = 1.42 \ 2 for enrichment pattern (a), and a = 2.96 [ 2 for depletion pattern (c). (Zuo et al 2009) (a\2). All of these areas are located at a depth of 35 m, but with different distances from the beginning of the profiles.…”

Section: Discussionmentioning

confidence: 99%

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Application of the singularity mapping technique to identify local anomalies by polarization data (a case study: Hamyj Copper Deposit, Iran)

Ferdows

Ramazi

2015

Acta Geod Geophys

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Separating anomalies plays a critical role on mineral exploration. In this paper, IP anomalies have been determined by concentration-area (C-A) and singularity methods. Then a comparison has been made between the methods. The singularity map (as well as fractal method) is usually applied in the geochemical exploration process; however, it has not been widely used in the geoelectrical methods so far. In this research, it has been successfully applied to utilize this method to process IP data (recognize anomaly induced polarization data in Hamyj copper deposit). Hamyj deposit is located about 80 km west of Birjand city, South Khorasan province, Iran. In this area, resistivity and induced polarization data have been surveyed by dipole-dipole array. Finally, according to the mentioned method, 67 % of the anomalies (singularity index) are confirmed by the concentration-area method which showed significant adaption with each other. Also, a suitable area is determined by a singularity map for drilling.

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Section: Discussionmentioning

confidence: 99%

“…These models include the concentration-area model (C-A), spectrum-area model (S-A), multi-fractal singular value decomposition (MSVD), concentration-distance model (C-D) mapping singularity technique, and etc. (Zuo et al 2009). …”

Section: Introductionmentioning

confidence: 99%

Application of the singularity mapping technique to identify local anomalies by polarization data (a case study: Hamyj Copper Deposit, Iran)

Ferdows

Ramazi

2015

Acta Geod Geophys

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“…Fractal or multifractal modelling play important roles in the quantifying of mineral deposits (Turcotte, 1996), characterising the spatial distribution of mineral deposits (Carlson, 1991;Agterberg et al, 1996;Raines, 2008) and mapping mineral-potential Ford and Blenkinsop, 2008). New methods based on the multifractal theory, such as concentration-area (C-A) method (Cheng et al, 1994), spectrum-area (S-A) method (Cheng et al, 2000) and the singularity mapping technique (Cheng, 2007a), were developed to identify geochemical anomalies and to map mineral potential (Cheng, 2007b;Cheng and Agterberg, 2009;Zuo et al, 2009a).…”

Section: Multifractal and Singularitymentioning

confidence: 99%

Multi-scale interactions of geological processes during mineralization: cascade dynamics model and multifractal simulation

Yao

Cheng

2011

Nonlin. Processes Geophys.

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Abstract.Relations between mineralization and certain geological processes are established mostly by geologist's knowledge of field observations. However, these relations are descriptive and a quantitative model of how certain geological processes strengthen or hinder mineralization is not clear, that is to say, the mechanism of the interactions between mineralization and the geological framework has not been thoroughly studied. The dynamics behind these interactions are key in the understanding of fractal or multifractal formations caused by mineralization, among which singularities arise due to anomalous concentration of metals in narrow space. From a statistical point of view, we think that cascade dynamics play an important role in mineralization and studying them can reveal the nature of the various interactions throughout the process. We have constructed a multiplicative cascade model to simulate these dynamics. The probabilities of mineral deposit occurrences are used to represent direct results of mineralization. Multifractal simulation of probabilities of mineral potential based on our model is exemplified by a case study dealing with hydrothermal gold deposits in southern Nova Scotia, Canada. The extent of the impacts of certain geological processes on gold mineralization is related to the scale of the cascade process, especially to the maximum cascade division number n max . Our research helps to understand how the singularity occurs during mineralization, which remains unanswered up to now, and the simulation may provide a more accurate distribution of mineral deposit occurrences that can be used to improve the results of the weights of evidence model in mapping mineral potential.

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“…Recently, Cheng (2012) confirmed systematically that the singularity mapping technique is effective for use in the recognition of weak anomalies caused by buried minerals. Many scholars have further expanded the application of the singularity mapping technique Wang et al, 2013;Wang et al, 2012;Xie et al, 2007;Zuo et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Mapping local singularities using magnetic data to investigate the volcanic rocks of the Qikou depression, Dagang oilfield, eastern China

Chen

Cheng

Liu

et al. 2013

Nonlin. Processes Geophys.

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The spatial structural characteristics of geological anomaly, including singularity and self-similarity, can be analysed using fractal or multifractal modelling. Here we apply the multifractal methods to potential fields to demonstrate that singularities can characterise geological bodies, including rock density and magnetic susceptibility. In addition to enhancing weak gravity and magnetic anomalies with respect to either strong or weak background levels, the local singularity index (α ≈ 2) can be used to delineate the edges of geological bodies. Two models were established to evaluate the effectiveness of mapping singularities for extracting weak anomalies and delineating edges of buried geological bodies. The Qikou depression of the Dagang oilfield in eastern China has been chosen as a study area for demonstrating the extraction of weak anomalies of volcanic rocks, using the singularity mapping technique to analyse complex magnetic anomalies caused by complex geological background. The results have shown that the singularities of magnetic data mapped in the paper are associated with buried volcanic rocks, which have been verified by both drilling and seismic survey, and the S–N and E–W faults in the region. The targets delineated for deeply seated faults and volcanic rocks in the Qikou depression should be further investigated for the potential application in undiscovered oil and gas reservoirs exploration

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Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China

Cited by 213 publications

References 29 publications

Application of the singularity mapping technique to identify local anomalies by polarization data (a case study: Hamyj Copper Deposit, Iran)

Application of the singularity mapping technique to identify local anomalies by polarization data (a case study: Hamyj Copper Deposit, Iran)

Multi-scale interactions of geological processes during mineralization: cascade dynamics model and multifractal simulation

Mapping local singularities using magnetic data to investigate the volcanic rocks of the Qikou depression, Dagang oilfield, eastern China

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