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频谱分解技术在勘探应用中的研究综述
引用本文:潘春孚.频谱分解技术在勘探应用中的研究综述[J].科学技术与工程,2013,13(3).
作者姓名:潘春孚
作者单位:中石油勘探开发研究院廊坊分院
摘    要:基于频谱分解方法的认识和应用研究,综述了频谱分解技术在层序地层分析、沉积储层预测、小断层解释及烃类检测和时移地震监测研究中的应用。在国内外地质勘探实例研究的基础上,总结了在研究层序地层分析、沉积储层预测、烃类检测及时移地震监测领域中应用的频谱分解技术方法。研究分析表明:频谱分解在不同的频带上显示不同级别地质现象,是研究层序地层、沉积储层及小断层解释的有效手段;频谱分解在不同频带显示对烃类不同的响应,是实现烃类检测和时移地震监测的重要手段。随着勘探精度、流体检测和剩余油气挖潜的形势需求,提高频谱分解方法的精度和分辨率以及在各种地质情况下的应用试验,将会不断促进方法研究和实际应用效果改善。

关 键 词:频谱分解  层序地层  沉积储层预测  烃类检测  时移地震监测
收稿时间:2012/8/20 0:00:00
修稿时间:9/25/2012 8:31:33 AM

Review on the application of spectral decomposition in the exploration
panchunfu.Review on the application of spectral decomposition in the exploration[J].Science Technology and Engineering,2013,13(3).
Authors:panchunfu
Abstract:Based on the understanding and the research on application of spectral decomposition methods, a review has been made for the application of spectral decomposition on the sequence stratigraphic analysis, depositional reservoir prediction, tiny faults interpretation, hydrocarbon detection and time-lapse seismic monitoring. On the basis of domestic and abroad geologic exploration instances, methods of spectral docomposition have been summarized which have been applied to the domain of sequence stratigraphic analysis, depositional reservoir prediction, hydrocarbon detection and time-lapse seismic monitoring. Studies and analysis has shown that: spectral decomposition displays geological phenomena of different levels at the different frequence bands, which is an effective means of studying sequence stratigraphy, depositional reservoir and tiny faults interpretation; spectral decomposition displays different responses for hydrocarbon at the different frequence bands, which is an important means of implementation hydrocarbon detection and time-lapse seismic monitoring. With the situation demands of exploration precision, fluid detection, and the remaining oil and gas potential, improving the accuracy and resolution of spectral decomposition and testing the application Under various geological conditions, will continuously promote the methods of research and improve practical application effects.
Keywords:spectral decomposition    sequence stratigraphy    depositional reservoir prediction    hydrocarbon detection    time-lapse seismic monitoring
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