SASI高光谱数据在油气勘探中的应用

Application of SASI Hyperspectral Data in Oil and Gas Exploration

以最新获取的准噶尔盆地吉木萨尔地区高光谱SASI数据为例,首先对该数据进行坏波段去除,大气校正以及波谱重建等预处理;然后对重建数据进行降维降噪,提纯和N维可视化,并且基于光谱特征吸收峰的光谱识别准则,提取出与贮藏油气有关的方解石和伊利石的光谱信息,最后运用混合调制匹配滤波技术对异常区填图.结合已有地质资料分析和野外验证,所提取出的蚀变信息与油气区地质情况基本吻合,准噶尔盆地为高光谱遥感技术勘探油气提供一定的地质依据.

In recent years,the hyperspectral remote sensing technique has been used in the field of oil and gas exploration. Taking the newest SASI hyperspectral data of Jimusar region as an example,this paper firstly pretreats the data,including removing bad bands,making atmospheric correction and reconstructing the spectrum. Then,the rebuilt data are processed by minimum noise transform（ MNF）,pixel purity index analysis（ PPI）,and N-dimensional visualization analysis. Based on the spectral identification criteria of spectrum characteristic absorption peak,we extract the spectral information of calcite and illite related to the oil and gas storage. Finally,the mixture tuned matched filtering technique is used for abnormal area mapping. Combined with the existing geological data analysis and field verification,the extracted alteration information is basically consistent with the geological conditions of the oil and gas field,which provides certain geological basis for exploration of oil and gas by hyperspectral remote sensing technology.