Evaluating of lithological and structural controls on the barite mineralization by using the remote sensing, Fry and fractal methods, Northwest Iran

Behyari, Mahdi; Rahimsouri, Y; Hoseinzadeh, Ehsan; Kurd, Nazir

doi:10.1007/s12517-019-4298-z

Cited by 10 publications

(4 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequently, the method was expanded to study the relative positioning and spatial connections between point elements in space. In recent years, Fry analysis has yielded significant advancements in investigating the spatial distribution patterns of mineral deposits and identifying dominant mineralization trends. − …”

Section: Methodsmentioning

confidence: 99%

“…In recent years, Fry analysis has yielded significant advancements in investigating the spatial distribution patterns of mineral deposits and identifying dominant mineralization trends. 39 − 41 …”

Section: Methodsmentioning

confidence: 99%

“…This method quantitatively describes the migration and enrichment of elements, thereby determining the dominant mineralization direction of geochemical anomalies. Fry analysis was originally an analytical method used to study the spatial distribution of random points and to evaluate the spatial autocorrelation of rock strain distribution. , Previous researchers have built upon this foundation, combining Fry analysis with fractal theory and applying it to various aspects such as mineral distribution analysis, deposit distribution pattern, and mineralization prediction. − Currently, Fry analysis, fractal, and multifractal methods are widely used in exploration and geochemical data processing. ,, …”

Section: Introductionmentioning

confidence: 99%

“… 39 , 40 Previous researchers have built upon this foundation, combining Fry analysis with fractal theory and applying it to various aspects such as mineral distribution analysis, deposit distribution pattern, and mineralization prediction. 41 − 44 Currently, Fry analysis, fractal, and multifractal methods are widely used in exploration and geochemical data processing. 15 , 45 , 46 …”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Identification of Geochemical Anomalies Based on RPCA and Multifractal Theory: A Case Study of the Sidaowanzi Area, Chifeng, Inner Mongolia

Zhao,

Yin

et al. 2024

ACS Omega

View full text Add to dashboard Cite

The focus of exploration geochemistry is an accurate interpretation of geochemical data and the precise extraction of anomaly information related to mineralization from complex geological information. However, geochemical data are component data and exhibit a closure effect. Thus, traditional statistical methods cannot adequately reveal and identify the distribution of deep-seated anomaly information. This paper focuses on the Sidaowanzi area in Inner Mongolia and uses multivariate component data analysis methods to process 1:50 000 soil geochemical data. Using the Exploratory Data Analysis (EDA) method, the spatial distribution and internal structure characteristics of raw, logarithmic, and isometric logarithmic ratio (ILR) transformed data were compared and, coupled with robust principal component analysis (RPCA) and elemental component biplots, the association between element combinations and mineralization indicated by these three types of data was revealed. The S-A method was used to decompose composite anomalies of the ILR transformed RPCA score data to extract the characteristics of elemental combination anomalies and background distribution, and the Fry analysis method was utilized to analyze the dominant mineralization direction within the area. The results show that (1) data transformed using the ILR eliminated the influence of the closure effect, making the data more uniform on a spatial scale and exhibiting characteristics of an approximately normal distribution. (2) The S-A method was further used to decompose the composite anomaly of the PC1 and PC2 principal component combinations. The screened-out anomaly and background fields can essentially reflect the ore-causing anomalies dominated by Au and Cu−Mo mineralization. Moreover, the extracted anomalies and background information closely align with known mineral deposits (prospects) and can effectively identify weakly retarded geochemical anomaly information. (3) Fry analysis based on geochemical anomalies indicates that the dominant mineralization directions, by an assemblage dominated by Au and Cu−Mo, predominantly occur in the NE, NW, and proximate EW orientations. The combined application of the aforementioned three methods for the quantitative analysis of geochemical data aims to explore a transferable methodological system, providing new insights and approaches for further prediction of mineralization potential.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%