时频域多属性分析技术在碳酸盐岩岩溶储层预测中的应用
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摘要
我国岩溶型碳酸盐岩储层普遍埋深较大,非均质性强、缝洞分布规律复杂,地震资料成像差,信噪比和分辨率低,储层预测难度大。古地形恢复、相干体和分频地震属性是目前常见的岩溶储层预测方法,但是,对岩溶型储层发育区的相带、岩性、物性的有效表征还有差距,对岩溶储层敏感的属性信息的应用还有进一步优选的余地。研究以我国西部A地区为例,结合时频域多种地震级联属性和地震相的特点,探讨了岩溶型储层地震多属性预测方法。实例表明:基于时频域级联属性的多属性综合预测方法可较好刻画风化壳岩溶储层的展布特征,多属性相干体、分频地震属性和地震波阻抗是对岩溶储层敏感的地震属性,研究提出利用相干体背景信息区分不同时代岩溶风化壳,对于分析岩溶作用强烈程度和岩溶储层发育有实际意义。
In China,karst carbonate reservoirs were generally buried deeply with strong heterogeneity,complex distribution of cavity and fracture,poor image of seismic data,low signal-noise ratio and difficult for reservoir prediction,palaeotopograph restoration,coherence body and frequency division seismic attribute were commonly used methods for karst reservoir prediction.But for the facies belt,litholigic,physical properties were weak in karst reservoir development area.Based on seismic attribute analysis technique,more geophysical information can be extracted from seismic data,which improves recognition reservoir features such as subsurface structure,reservoir characteristics and physical properties,and increase the accuracy of the forecasts.The practical application shows that the use of multi-attribute seismic analysis techniques can effectively predict the distribution of karst reservoir properties as well as the characteristics of the oilfield exploration and development so as to provide a strong basis.
In China,karst carbonate reservoirs were generally buried deeply with strong heterogeneity,complex distribution of cavity and fracture,poor image of seismic data,low signal-noise ratio and difficult for reservoir prediction,palaeotopograph restoration,coherence body and frequency division seismic attribute were commonly used methods for karst reservoir prediction.But for the facies belt,litholigic,physical properties were weak in karst reservoir development area.Based on seismic attribute analysis technique,more geophysical information can be extracted from seismic data,which improves recognition reservoir features such as subsurface structure,reservoir characteristics and physical properties,and increase the accuracy of the forecasts.The practical application shows that the use of multi-attribute seismic analysis techniques can effectively predict the distribution of karst reservoir properties as well as the characteristics of the oilfield exploration and development so as to provide a strong basis.
引文
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[10]李劲松,李艳东,张昕等.地震谱分解技术在岩性油气藏描述中的应用[J].石油天然气学报,2008,30(2):239～241.
[2]熊冉,刘玲利,刘爱华等.地震属性分析在轮南地区储层预测中的应用[J].特种油气藏,2008,15(4):32～34.
[3]张亚中,赵裕辉,鲁新便等.频谱分解技术在塔里木盆地北部TH地区碳酸盐岩缝洞型储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):16～20.
[4]蔡瑞.基于谱分解技术的缝洞型碳酸盐岩溶洞识别方法[J].石油勘探与开发,2005,32(2):82～85.
[5]刘春园,魏修成,朱生旺等.频谱分解在碳酸盐岩储层中的应用研究[J].地质学报,2008,82(3):428～432.
[6]袁国芬.塔河油田碳酸盐岩储层地球物理响应特征[J].石油物探,2003,42(3):318～321.
[7]孙夕平,杨国权.三维地震相干体技术在目标区沉积相研究中的应用[J].石油物探,2004,43(6):591～594.
[8]蔡刚,孙东,裴明利等.相干体技术及其在油气勘探中的应用[J].天然气地球科学,2006,17(4):510～513.
[9]Partyka GJ,Gridley J,Lopez J.Interpretational applications of spectral decomposition in reservoir characterization[J].The Leading Edge,1999,(18):353～360.
[10]李劲松,李艳东,张昕等.地震谱分解技术在岩性油气藏描述中的应用[J].石油天然气学报,2008,30(2):239～241.
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