摘要
烃类微渗漏蚀变信息是地下深部油气藏储层在地表和近地表的直观证据,通过遥感图像进行烃蚀变解译是遥感油气勘探中的一项高效、快速和安全的新技术。该研究采用ASTER近红外数据,以烃渗漏蚀变产生的碳酸盐矿物为目标,采用主成分分析、密度分割和假彩色合成等信息增强和提取方法,获得了1589-PC3、1689-PC3、1348-PC3和5689-PC2等四个对碳酸盐具有较好增强效果的主成分因子,以X+2σ为阈值,从4幅主成分因子图像上提取了碳酸盐区域,并根据叠合结果划分为一级富集区和二级富集区。结果显示碳酸盐富集与展布结果与该区的地层分布紧密相关,与已有研究的解译结果较为一致。
Hydrocarbon microseepage induced anomaly of surface and near surface is the direct evidence for oil ＆amp;gas deposit.The detection of hydrocarbon-induced anomaly by remote sensing image interpreta-tion is fast,efficient and safe.ASTER Near Infrared data were used to interpret hydrocarbon-induced car-bonate minerals.Principal component analysis （PCA）,density slicing and false color composition were adopted to distinguish the goal area of clay and carbonate minerals.Four principal components showed outstanding spectral response of hydrocarbon-induced clay and carbonate minerals：5689-PC2 （the sec-ond principal component of input bands 5689）,1589-PC3,1689-PC3 and 1348-PC3. Then, density sli-cing （X＋2σ）was used to highlight the pixels with the largest DN （digital number）of PC images as the area of carbonate minerals.The distinguished area was categorized into the first and second classes due to the frequencies of overlay.The result suggests that hydrocarbon microseepage induced mineral assemblage is related closely to the surface sediments.Compared with the anomalous area of ETM＋data,the distin-guished area from ASTER data has almost the same distribution.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第6期78-84,共7页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家自然科学基金资助项目(41230101
41402297)
中国博士后科学基金资助项目(20100470044)
中国地质调查局资助项目(1212011120099)
关键词
ASTER
烃蚀变
碳酸盐矿物
信息增强与提取
ASTER
hydrocarbon microseepage
carbonate minerals
information enhancement and interpretation
