Adel Shirazy

Behavior of Gold, Arsenic, and Antimony Elements (eBook, PDF)

K-Means Method, Matlab, and SPSS-Software

• Format: PDF

Produktbeschreibung

Academic Paper from the year 2019 in the subject Earth Science / Geography - General, Basics, grade: A, , language: English, abstract: This paper discusses the application of the k-means clustering method to analyze the behavior of gold, arsenic, and antimony elements in a specific geological area in Isfahan province, Iran. The area under investigation has a diverse stratigraphy ranging from Precambrian to Quaternary rocks and is located in the Central Iran zone. Due to the presence of gold mineralization indicators in this region, it's essential to identify key mineral zones and assess the relationship between gold, arsenic, and antimony elements in order to estimate the geochemical halos and the grade. The k-means method is employed in this study to cluster data points and identify similarities between them. By minimizing the Euclidean distances between data points and their assigned cluster centers, the method aids in clustering the elements effectively. The study also uses clustering quality functions and the utility rate of the sample in the desired cluster to determine the optimal number of clusters. In recent years, the accurate estimation of mineral tonnage has become crucial for mineral projects, leading to the development of various methods for grade estimation, including geometric and geostatistical approaches. The k-means clustering method is introduced as a novel approach for estimating the grade of mineral elements. Cluster analysis is widely used in the earth sciences, connecting observations with similarities and assisting in the identification of patterns. It is particularly useful when there is limited prior information about the data's internal structure. K-means clustering is an exclusive and widely studied method used for grouping samples into k classes, aiming to minimize the total Euclidean distances of each sample from their assigned class center. This method has various applications in geological terrain division, vegetation effect classification, geochemical pattern presentation, and more. In this article, it is applied to understand the behavior of gold, arsenic, and antimony elements in the geological area, and the results are utilized to estimate the gold grade. The analysis is carried out using MATLAB and SPSS software, based on data collected from drainage sediments in the region.

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Produktdetails

• Verlag: GRIN Verlag
• Seitenzahl: 34
• Erscheinungstermin: 4. August 2020
• Englisch
• ISBN-13: 9783346218902
• Artikelnr.: 59932079

Autorenporträt

Adel Shirazy is an Iranian scientist, author and politician who is one of the pioneers of artificial intelligence training in mineral exploration. He is also a scientific and practical activist of conservation affairs. Adel Shirazy was born in Pasteur Hospital in Tehran on 28 March 1991. After completing his high school and pre-university education from Shohadaye-Enghelab High School in Tehran (2009), he continued to complete his bachelor's degree in mining engineering and completed his master's degree in Birjand University of Technology in 2017. After completing a specialized doctorate course at Shahroud University of Technology in 2017-2019, he completed post-doctorate studies at Amir Kabir University of Technology in 2022 with the publication of numerous articles. He is among the top 2% scientists in his field according to Researchgate. Along with his studies, he practiced Aikido. He is the vice president of AIKIKempo self-defense style in the Iran Judo Federation (IJF). Shirazy writes poetry. He published nine books of poetry in various styles. His book Protection and Guarding became the reference for the recruitment test of Iran Sanjesh Organization. He has also written more than 100 titles in science, sports and arts. He is the manager in STS Publishers and one of the activists in the field of expanding book culture. He has published over 150 scientific papers. Shirazy worked on the foundation of artificial intelligence in mining exploration. He is the chairman of the STS Knowledge based company. In 2024, Shirazy was a candidate of the Islamic Consultative Assembly in the 12th Islamic Consultative Assembly and was on the list of the Javanan-e-enghelabi Tehran and also the coalition of innovators of Islamic Iran. He published material to explain the policies of elitism and youthism. Accepting the responsibility of elites in the Javanan-e-enghelabi Party of Tehran, he is also the spokesperson of this party. In 2008, Shirazy received the country's third place in Aikido, and in 2022, he received the national championship from the Judo Federation, and in addition, he won the title of Iran's sports prodigy in 2014 and 2015 from Aparat. In 2022, he received the title of the country's best doctorate from the Economic Geology Association of Iran.