本文選題：鐵礦石 + 三維地質(zhì)建模��； 參考：《成都理工大學(xué)》2015年碩士論文

【摘要】：鐵礦石是人類發(fā)現(xiàn)最早且應(yīng)用最為廣泛的一種金屬礦產(chǎn)資源。我國鐵礦資源的特點:貧礦多,富礦少,伴生礦產(chǎn)多,礦石組成成分較復(fù)雜,這給鐵礦的勘探和開采造成了一定的困難。和發(fā)達(dá)國家相比,我國鐵礦的開發(fā)利用程度較低,致使我國鐵礦大量依靠進(jìn)口,繼而成為最大的鐵礦石進(jìn)口國家。所以從技術(shù)上來講,急需先進(jìn)的技術(shù)和手段,來實現(xiàn)鐵礦資源的進(jìn)一步高效開發(fā)與可持續(xù)利用。礦產(chǎn)勘查開發(fā)的主要任務(wù)之一就是對礦產(chǎn)資源進(jìn)行儲量估算,準(zhǔn)確預(yù)測礦產(chǎn)儲量是制訂礦產(chǎn)勘查、開發(fā)計劃與生產(chǎn)管理的主要依據(jù),這將不僅提高礦產(chǎn)勘查工作效率,而且還會減少礦產(chǎn)開發(fā)成本和風(fēng)險,實現(xiàn)更好的經(jīng)濟(jì)和社會效益。傳統(tǒng)儲量估算方法只適用某些特定礦床和特定形態(tài)的礦體,基于二維平面圖和剖面圖的地質(zhì)信息表達(dá)不夠準(zhǔn)確、過程繁瑣、估算精度不高、信息更新較慢[5]等缺點不斷在儲量估算工作中突顯出來,隨著地礦工作信息化的迅速發(fā)展,三維可視化技術(shù)和礦業(yè)軟件在礦業(yè)中的不斷應(yīng)用,儲量估算工作實現(xiàn)了進(jìn)一步優(yōu)化和改進(jìn),基于三維技術(shù)的儲量計算成為今后工作的主要研究方向。全程的計算機輔助化、智能化,將提高儲量估算的工作效率與準(zhǔn)確性。論文首先對研究區(qū)的14個剖面,71個鉆孔數(shù)據(jù)進(jìn)行處理分析,采用混合建模法構(gòu)建鐵礦的實體模型。首先,運用基于多輪廓線通過Kriging插值算法進(jìn)行塊體空塊模型建立,然后用礦體表面模型對塊體模型進(jìn)行邊界約束處理,邊界處理后的塊體模型共有6780個塊體單元;通過品位數(shù)據(jù)的統(tǒng)計分析,我們對每個塊體進(jìn)行品位插值,建立塊體品位模型,通過統(tǒng)計每個塊體內(nèi)部鐵礦資源量計算出整個礦體的鐵礦資源儲量。最后與傳統(tǒng)的垂直斷面法儲量估算結(jié)果進(jìn)行對比分析,驗證了基于三維可視化的Kriging儲量估算方法的科學(xué)性、實用性,這將對潘家田礦區(qū)的進(jìn)一步勘探與開發(fā)具有重要的實際意義和指導(dǎo)意義。
[Abstract]:Iron ore is one of the earliest and most widely used metallic mineral resources. The characteristics of iron ore resources in China are as follows: more poor ore, less rich ore, more associated mineral resources and more complex ore composition, which makes the exploration and mining of iron ore difficult. Compared with the developed countries, the development and utilization of iron ore in our country is relatively low, which makes our country rely heavily on the import of iron ore, and then become the largest iron ore importing country. Therefore, the advanced technology and means are urgently needed to realize the further efficient development and sustainable utilization of iron ore resources. One of the main tasks of mineral exploration and development is to estimate the reserves of mineral resources. Accurate prediction of mineral reserves is the main basis for drawing up mineral exploration, development plan and production management, which will not only improve the efficiency of mineral exploration. It will also reduce the cost and risk of mineral development and achieve better economic and social benefits. The traditional reserve estimation method is only suitable for some specific ore deposits and specific ore bodies. The representation of geological information based on two-dimensional plane map and section map is not accurate enough, the process is tedious, and the estimation accuracy is not high. The shortcomings such as slow updating of information [5] are constantly highlighted in the work of reserve estimation. With the rapid development of information for geological and mineral work, 3D visualization technology and mining software are continuously applied in mining industry. Further optimization and improvement have been achieved in the estimation of reserves, and the calculation of reserves based on 3D technology has become the main research direction in the future. The whole process of computer aided and intelligent will improve the efficiency and accuracy of reserve estimation. Firstly, 14 sections and 71 borehole data in the study area were processed and analyzed, and the solid model of iron ore was constructed by hybrid modeling method. Firstly, the block empty block model is built by using Kriging interpolation algorithm based on multi-contour lines, and then the block model is treated with boundary constraints by using the orebody surface model. There are 6780 block units in the block model after boundary treatment. Through the statistical analysis of the grade data, we interpolate the grade of each block, establish a block grade model, and calculate the iron ore resource reserves of the whole ore body by statistics of the iron ore resources in each block. Finally, compared with the traditional vertical section method, the results show that the Kriging reserve estimation method based on 3D visualization is scientific and practical. This will have important practical and guiding significance for the further exploration and development of Panjiada mining area.
【學(xué)位授予單位】：成都理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P618.31

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