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Reasearch On Magnetic Anomalies Of Porphyry-type Copper Mine In Kalatage Area And Methods Of Potential-field Data Processing

Posted on:2018-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:J C LiuFull Text:PDF
GTID:2310330515978211Subject:Earth Exploration and Information Technology
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For today's society,with the rapid development of information,copper is widely used in power transportation,communications cables,motor manufacturing and electrical appliances and so on.Copper reserves scarcely,only 7 over one hundred thousand in the crust.Porphyry copper is the most important type of copper mines,which accounts for more than half of the world's proven copper reserves.In the United States,Peru,Chile,which are three major copper-producing countries,80%-90% of copper reserves are from the porphyry copper.In China,porphyry copper is also the main type of copper mine.Therefore,it is very important to study the metallogenic regularity of porphyry copper mine and the prediction of prospecting target.The Kalatage area is located in the eastern Tianshan metallogenic belt in the middle of the Central Asian metallogenic belt.The west starts from a desert in Shaer-Lake 30 km from Wupu villadge in Hami city;The east is next to Nanhu coal field in Hami city;The famous Tuwu-Yandong copper sits 40 km from the south;The southwest borders with Shaer-Lake coal mine and Shaer-Lake bentonite mine in the junction of Shanshan county and Hami city.Since 2011,the area has built two copper-based mines.Therefore,the prospecting of this area is promising and has a good potential for finding porphyry copper.In this paper,the metallogenic and prospecting rules are summarized from the geophysical characteristics and porphyry copper mineralization conditions and alteration laws,and a variety of field data processing methods are applied to the low-level magnetic data.The main research contents are:1.The wavelet transform de-noising is improved by the idea of translating invariants,and the method is compared by the model test results.The improved wavelet transform de-noising method is used to improve the de-noising effect.This method not only can effectively remove the high frequency noise interference,restore the effective information,but also can reduce the shock effect of Gibbs effect.It provides a reliable method for field data de-noising.2.The principle of analytic continuation,matching filter,vertical derivative and Euler deconvolution is discussed.The applicability of the relevant method and the application effect are summarized by the model test,which is provided for later learning.3.Based on the magmatic rock conditions,tectonic conditions,stratigraphic conditions and surrounding rock alteration of porphyry copper deposits,the metallogenic factors of porphyry copper deposits were studied.What's more,on the basis of geological factors of porphyry copper mineralization,geophysical characteristics are considered,so we summed up the porphyry copper mineralization characteristics and prospecting regularity.4.The magnetic data in the area of Kalatage were processed and analyzed.The magnetic data of the area were processed by field de-noising,field separation and boundary recognition and we get a conclusion of a total of five possible rock mass distribution and six possible structural lines.Besides the geologic-geophysical regularity of the porphyry copper mine are summarized,which can provide reference for the future study of porphyry copper.
Keywords/Search Tags:magnetic anomalies, porphyry copper, improved threshold method, wavelet transform, fault identification
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