基于Micro-CT技術(shù)的煤巖裂隙精細表征
發(fā)布時間:2018-06-07 17:34
本文選題:煤層氣 + 煤巖裂隙 ; 參考:《煤炭科學技術(shù)》2017年04期
【摘要】:為了表征完整煤樣裂隙開度及空間展布,采用高精度Micro-CT掃描技術(shù)分析新巨龍煤礦的樣品的裂隙結(jié)構(gòu)。根據(jù)CT圖像中裂隙周邊CT數(shù)分布規(guī)律及三維可視化技術(shù),對煤巖裂隙開度、分布和空間配置等參數(shù)進行精細表征。研究結(jié)果表明:運用高斯函數(shù)可以克服裂隙兩側(cè)CT數(shù)由于非均質(zhì)造成波動,較為準確擬合裂隙CT數(shù)曲線的衰減規(guī)律;利用高斯函數(shù)的峰度(PH)與曲線面積(MA)對裂隙分布形態(tài)進行測量,當裂隙開度較小時(0.24 mm),利用PH法測量有較高的準確性;當裂隙開度較大時(0.24 mm),MA法測量有較高的準確度;通過煤巖三維重建的裂隙3D可視化模型,可清晰識別煤中裂隙空間分布形態(tài)。根據(jù)三維裂隙區(qū)域中197個特征位置CT數(shù)分布的誤差分析表明,采用參數(shù)PH法測量的平均誤差為14.3%,而采用MA法測量的平均誤差為17.1%,說明PH法具有較高的準確度。
[Abstract]:In order to characterize the crack opening and spatial distribution of complete coal samples, the fracture structure of samples in Xinjulong Coal Mine was analyzed by high-precision Micro-CT scanning technique. According to the rule of CT number distribution and 3D visualization technology, the parameters of coal fracture opening, distribution and space configuration are described in detail according to the distribution law of CT number around the fissure in CT image and 3D visualization technology. The results show that the attenuation law of fracture CT number curve can be accurately fitted by using Gao Si function to overcome the fluctuation of CT number caused by heterogeneity on both sides of fracture. The Gao Si function kurtosis and curve area are used to measure the fracture distribution morphology. When the crack opening is smaller than 0.24mm-1, the PH method is used to measure the fracture pattern with high accuracy, and when the crack opening degree is large, the measurement with 0.24mm / mm MA method has higher accuracy. The spatial distribution of fractures in coal can be clearly identified by 3D visualization model of fracture reconstruction. According to the error analysis of CT number distribution of 197 characteristic positions in 3D fracture region, the average error measured by the parameter PH method is 14.3and the average error by MA method is 17.1, which shows that PH method has higher accuracy.
【作者單位】: 山東科技大學礦山災(zāi)害預(yù)防控制國家重點實驗室培育基地;長崎大學工學部;中國礦業(yè)大學(北京)深部巖土力學與地下工程國家重點實驗室;中國科學院武漢巖土力學研究所;
【基金】:國家自然科學基金資助項目(41202194,51474204,51134005) 山東省自然科學基金資助項目(ZR2012EEQ021) 中國博士后科學基金資助項目(2013M542097) 深部巖土力學與地下工程國家重點實驗室開放基金資助項目(SKLGDUEK1421)
【分類號】:TD84
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本文編號:1992085
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