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遥感技术在南盘江地区油气烃类检测中的应用
引用本文:马跃良 何在成. 遥感技术在南盘江地区油气烃类检测中的应用[J]. 海相油气地质, 1998, 3(2): 47-54
作者姓名:马跃良 何在成
作者单位:中国科学院广州地球化学研究所,中国科学院广州地球化学研究所,中国科学院广州地球化学研究所
基金项目:中国石油天然气总公司新区事业部南方油气勘探项目经理部委托项目的部分研究成果
摘    要:
应用陆地卫星 TM 资料对南盘江地区进行了烃类微渗漏蚀变信息检测研究。岩石土壤地球化学特征分析表明,该区不同程度地存在着“褪红”、“粘土矿化”、“碳酸盐矿化”等烃类蚀变异常现象。选择 FeO/Fe_2O_3作为褪红的成分因子;(K_2O+Na_2O+Al_2O_3)、(K_2O+Na_2O)/Al_2O_3、(K_2O+Na_2O+Al_2O_3)/S∶O_2和 K_2O/Na_2O 等作为粘土矿化的成分因子;CaO+MgO 和 CaO/MgO 作为碳酸盐矿化的成分因子。利用 TM1/TM3、TM1/TM4识别褪红蚀变信息,TM5/TM7、TM5/TM4用干识别粘土矿化和碳酸盐矿化蚀变信息。建立了地球化学—光谱—遥感图像三位一体的遥感找油气模式,根据油气遥感色调异常对南盘江地区进行了评价和分类。

关 键 词:遥感 油气勘探 烃类检测 南盘江地区

Remote Sensing Application on Hydrocarbon Detection in Nanpanjiang Region/Ma Yueliang
Ma Yueliang He Zaicheng Xu'an Guangzhou Geochemical-Institute,Chinese Academy of Science,P.O.B.,Wushan,Guangzhou, P.R.China. Remote Sensing Application on Hydrocarbon Detection in Nanpanjiang Region/Ma Yueliang[J]. Marine Origin Petroleum Geology, 1998, 3(2): 47-54
Authors:Ma Yueliang He Zaicheng Xu'an Guangzhou Geochemical-Institute  Chinese Academy of Science  P.O.B.  Wushan  Guangzhou   P.R.China
Affiliation:Ma Yueliang~* He Zaicheng Xu'an Guangzhou Geochemical-Institute,Chinese Academy of Science,P.O.B.1131,Wushan,Guangzhou,510640 P.R.China
Abstract:
Alteration information detection of hydrocarbon microleak in Nanpanjiang region has been studied by TM data got from land satellite.Rock and soil geochemical characteristics analysis suggests that hydrocarbon alteration phenomena,such as red decolorization,clay mineralization,carbonate mineralization, atc.,to different extent occur in the region.FeO/Fe_2O_3 is chosen as a compositional factor of red decolorization;(K_2O+ Na_2O+Al_2O_3),(K_2O+Na_2O)/Al_2O_3,(K_2O+Na_2O+Al_2O_3)/ SiO_2 and K_2O/Na_2O are chosen as clay mineralization ones; CaO+MgO and CaO/MgO as carbonate mineralization ones. The red-decolorization alteration information is distinguished by TM1/TM3 and TMI/TM4,and cqslay and carbonate mineralization by TM5/TM7 and TM5/TM4.The geochemical- spectral-remote sensing exploring oil-gas model is then set up based on oil-gas remote sensing color anomaly with which Nanpanjiang region has been assessed and classified.
Keywords:Satellite image interpretation  Hydrocarbon detection  Hydrocarbon  Anomaly  Soil analysis  Spectral analysis  Oil-gas exploration  Nanpanjiang Depression
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