RESEARCH ON SOFTWARE DESIGN AND REALIZATION OF OIL AND GAS EXPLORING WITH HYPERSPECTRAL REMOTE SENSING TECHNIQUE
-
摘要: 基于烃微渗漏机理实现高光谱油气资源探测, 从数据处理和信息提取角度, 利用IDL设计并实现了高光谱油气探测信息提取软件模块。软件具备波段剔除、坏线修复等预处理功能, 以及波谱特征分析和信息异常填图等功能; 同时, 能够处理GB量级数据。研究成果可为高光谱油气资源探测信息提取提供参考。Abstract: From the view of data processing and information extraction, software has been designed and realized based on IDL according to the hydrocarbon micro-leakage theory. The software provides the data preprocess functions, such as band elimination, bad line repair, stripe elimination. And it also has the ability to analyze the pixel features and abnormal mineral information mapping with different methods, i.e. SAM, SCM, and SID. The capability of data process of the software can be the GB level, which is an important reference during the engineering use.
-
图 2 含烃物质光谱信号(辐照度)放大的1730 nm区段[5]
A,B′B和C是烃指数点;Ri和λi是指数点处的辐照度值和波长
Figure 2. Hydrocarbon index sketch in 1730 nm with hydrocarbonaceous material
-
[1] Freek van der Meer, Paul van Dijk, Harald van der Werff, et al. Remote sensing and petroleum seepage: A review and case study[J]. Terra Nova, 2002, 14(1): 1~17. doi: 10.1046/j.1365-3121.2002.00390.x [2] Ben-Dor E, Chabrillat S, Demattê J A M, et al. Using imaging spectroscopy to study soil properties[J]. Remote Sensing of Environment, 2009, 113: S38~S55. doi: 10.1016/j.rse.2008.09.019 [3] Hörig B, Kühn F, Oschütz F, et al. HyMap hyperspectral remote sensing to detect hydrocarbons[J]. International Journal of Remote Sensing, 2001, 22(8): 1413~1422. doi: 10.1080/01431160120909 [4] Logan G A, Jones A T, Kennard J M, et al. Australian offshore natural hydrocarbon seepage studies: A review and re-evaluation[J]. Marine and Petroleum Geology, 2010, 27: 26~45. doi: 10.1016/j.marpetgeo.2009.07.002 [5] Kühn F, Oppermann K, Hörig B. Hydrocarbon Index: An algorithm for hyperspectral detection of hydrcarbons[J]. International Journal of Remote Sensing, 2004, 25(12): 2467~2473. doi: 10.1080/01431160310001642287 [6] 申晋利, 丁树柏, 齐小平, 等.烃类微渗漏现象遥感检测研究进展[J].国土资源遥感, 2010, 85(3):7~11. doi: 10.6046/gtzyyg.2010.03.02SHEN Jin-li, DING Shu-bai, QI Xiao-ping, et al. The progress of remote sensing technology in the detection of hydrocarbon micro-seepage[J]. Remote Sensing for Land & Resources, 2010, 85(3): 7~11. doi: 10.6046/gtzyyg.2010.03.02 [7] 管仲, 田庆久.油气光学遥感研究综述[J].天然气工业, 2006, 26(11):44~48. doi: 10.3321/j.issn:1000-0976.2006.11.014GUAN Zhong, TIAN Qing-jiu. A summary of oil/gas optical remote sensing[J]. Natural Gas Industry, 2006, 26(11): 44~48. doi: 10.3321/j.issn:1000-0976.2006.11.014 [8] 朱振海.油气藏烃类微渗漏理论及遥感油气资源探测的机理研究[J].遥感技术与应用, 1994, 9(1):1~10. doi: 10.11873/j.issn.1004-0323.1994.1.1ZHU Zhen-hai. Hydrocarbon microseepage theory and oil-gas reservoir detecting by remote sensing[J]. Remote Sensing Technology and Application, 1994, 9(1): 1~10. doi: 10.11873/j.issn.1004-0323.1994.1.1 [9] 陈圣波, 赵靓, 王晋年.黄土覆盖区油气微渗漏地表蚀变高光谱特征响应机理研究[J].光谱学与光谱分析, 2012, 32(6):1616~1619. http://www.cnki.com.cn/Article/CJFDTOTAL-GUAN201206045.htmCHEN Sheng-bo, ZHAO Liang, WANG Jin-nian. Study on hyperspectral response to surface alteration by oil and gas microseepage under loess area[J]. Spectroscopy and Spectral Analysis, 2012, 32(6): 1616~1619. http://www.cnki.com.cn/Article/CJFDTOTAL-GUAN201206045.htm [10] Edward A. Cloutis. Spectral reflectance properties of hydrocarbons: Remote-sensing implications[J]. Science: New Series, 1989, 245(4914): 165~168. http://europepmc.org/abstract/MED/17787874 [11] 张东, 张鹰, 李欢.海岸带星载高光谱遥感影像预处理方法[J].海洋科学进展, 2009, 27(1):92~97. http://www.cnki.com.cn/Article/CJFDTOTAL-HBHH200901013.htmZHANG Dong, ZHANG Ying, LI Huan. Methods for data preprocessing of hyperspectralsatellite-remote sensing imagerey of coastal zone[J]. Advances in Marine Science, 2009, 27(1): 92~97. http://www.cnki.com.cn/Article/CJFDTOTAL-HBHH200901013.htm