“…As the Paleotethys and Neotethys oceans developed and closed, the fragments subsequently amalgamated [7][8][9][10][11][12]. The geological studies and tectonic researches of Iran date back to more than five decades [13][14][15][16][17][18][19][20][21][22][23][24][25].…”
The target in this paper is introduction and application of a new exploration method to locate and highlight mineral deposits and mineralization trends. Generally exploration methods could be categorized into two major groups; quantitative and qualitative methods. Although many attempts have been taken to progress the first group, the second one has not been considered and improved as it should have been. This research offers a new method named 'Qualitative Contours' which is descriptive rather than being numeric. This new method is applied to delineate mineralization trends and deposits locations in Qaleh-Zari area. The selected study area is located north west of Qaleh-Zari copper deposit. This area is selected to determine how effective this method is to find mineralization trends and the known Qaleh-Zari deposit. Theis new method "Qualitative Contours" successfully located Qaleh-Zari deposit and mineralization trends in the area. Beside the main function of this method, other beneficial performances are discussed such as lithology modeling and erosion levels estimation which are highly correlated to field observations in the area. In this research, locating the well-known Qaleh-Zari copper deposit as the result of the Qualitative Contours method is discussed and in order to prove the accuracy of such locating, Concentration-Volume (C-V) Fractal modeling is used to prove copper anomalies numerically.
“…As the Paleotethys and Neotethys oceans developed and closed, the fragments subsequently amalgamated [7][8][9][10][11][12]. The geological studies and tectonic researches of Iran date back to more than five decades [13][14][15][16][17][18][19][20][21][22][23][24][25].…”
The target in this paper is introduction and application of a new exploration method to locate and highlight mineral deposits and mineralization trends. Generally exploration methods could be categorized into two major groups; quantitative and qualitative methods. Although many attempts have been taken to progress the first group, the second one has not been considered and improved as it should have been. This research offers a new method named 'Qualitative Contours' which is descriptive rather than being numeric. This new method is applied to delineate mineralization trends and deposits locations in Qaleh-Zari area. The selected study area is located north west of Qaleh-Zari copper deposit. This area is selected to determine how effective this method is to find mineralization trends and the known Qaleh-Zari deposit. Theis new method "Qualitative Contours" successfully located Qaleh-Zari deposit and mineralization trends in the area. Beside the main function of this method, other beneficial performances are discussed such as lithology modeling and erosion levels estimation which are highly correlated to field observations in the area. In this research, locating the well-known Qaleh-Zari copper deposit as the result of the Qualitative Contours method is discussed and in order to prove the accuracy of such locating, Concentration-Volume (C-V) Fractal modeling is used to prove copper anomalies numerically.
“…Beberapa peneliti telah mengidentifikasi suatu mineralisasi logam yang dikontrol oleh sesar menggunakan pendekatan kelurusan morfologi pada citra Landsat-7 [9,10].…”
ABSTRAKDaerah Mamuju dan sekitarnya tersusun atas batuan gunung api dengan komposisi mineral mengandung unsur radioaktif seperti uranium (U) dan thorium (Th). Konsentrasi unsur radioaktif di daerah ini mencapai 1.529 ppm eU dan 817 ppm eTh. Mineral-mineral radioaktif yang teridentifikasi terdiri dari thorianite, davidite, gummite, dan autunite. Aktivitas tektonika kemunculan gunung api menyebabkan terbentuknya struktur-struktur geologi yang mengontrol pembentukan kompleks gunung api dan mineralisasi U-Th di daerah tersebut. Identifikasi struktur geologi regional dan rinci di lapangan sangat sulit dilakukan karena vegetasi yang lebat dan tingkat pelapukan yang tinggi. Kelurusan hasil interpretasi dari citra Landsat-8 merupakan manifestasi keberadaan struktur geologi yang mengontrol keberadaan U dan Th. Analisis kelurusan punggung bukit menggunakan formula Sastratenaya digunakan untuk mengetahui umur dan kronologi kelurusan yang terbentuk. Pengukuran laju dosis di daerah penelitian menunjukkan kecenderungan arah sebaran anomali radioaktivitas berarah tenggarabaratlaut. Hasil analisis menggunakan formula Sastratenaya menunjukkan bahwa struktur yang terbentuk adalah struktur berumur relatif tua dan memiliki arah dominan tenggara-baratlaut (N 140-150 o E). Berdasarkan interpretasi kelurusan, arah dominan memiliki kemiripan dengan arah sebaran gunung api dan sebaran radioaktivitas. Struktur yang mengontrol pembentukan gunung api dan terkait dengan mineralisasi U dan Th secara umum merupakan struktur berarah tenggara-baratlaut dan terbentuk bersamaan dengan proses mineralisasi U dan Th.Kata kunci: uranium, thorium, struktur geologi, kelurusan, formula Sastratenaya, landsat-8
ABSTRACT
Mamuju area and its surrounding are composed of volcanic rock containing uranium (U) and thorium (Th) elements. Radioelements concentrations in the area
“…It is generally accepted that fault zones act as major channel ways for deeply sourced melts as well as hydrothermal fluids (Storti et al 2003;Pirajno 2010). Fault architecture has been used to investigate porphyry systems as described in many studies worldwide (e.g., Guillou-Frottier and Burov 2003;Qu et al 2007;Pirajno 2010;Chen et al 2011), as well as in the Urumieh-Dokhtar belt of Iran (e.g., Ghasemi and Talbot 2006;Meshkani et al 2013).…”
Section: Conceptual Model Of Porphyry-cu Mineralizationmentioning
Index overlay and Boolean logic are two techniques customarily applied for knowledgedriven modeling of prospectivity for mineral deposits, whereby weights of values in evidential maps and weights of every evidence map are assigned based on expert opinion. In the Boolean logic technique for mineral prospectivity modeling (MPM), threshold evidential values for creating binary maps are defined based on expert opinion as well. This practice of assigning weights based on expert opinion involves trial-and-error and introduces bias in evaluating relative importance of both evidential values and individual evidential maps. In this paper, we propose a data-driven index overlay MPM technique whereby weights of individual evidential maps are derived from data. We also propose a data-driven Boolean logic MPM technique, whereby thresholds for creating binary maps are defined based on data. For assigning weights and defining thresholds in these proposed data-driven MPM techniques, we applied a prediction-area plot from which we can estimate the predictive ability of each evidential map with respect to known mineral occurrences, and we use that predictive ability estimate to assign weights to evidential map and to select thresholds for generating binary predictor maps. To demonstrate these procedures, we applied them to an area in the Kerman province in southeast Iran as a MPM case study for porphyry-Cu deposits.
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