井间地震资料属性分析与储层参数转换

考虑到井间地震资料以深度域表示的特殊性,现今提取的地震属性主要包括幅度、波形和相关函数等特征量参数,以及井间地震资料的“三瞬”剖面等。在对井间地震属性的标准化和地震属性间的相关性进行分析的基础上,使用常规的聚类分析方法实现地震属性的优化处理。选用神经网络分析方法和非参数回归分析方法,实现了由主要目标层段的优化地震属性向储层参数剖面的转换。实际资料应用表明,在考虑了井间地震资料的特殊性后,适用于地面地震资料的有关方法技术也可应用于井间地震剖面,其精度和效果都要比地面地震优越得多。

Analysis of cross-hole seismic data attributes and transformation of reservoir parameters.

Considering the speciality presented by depth domain in cross-hole seismic data ,currently-detected seismic attributes mainly includes special parameters such as amplitude,waveform and coherent function as well as "three instantaneous"sections of cross-hole seismic data. On the basis of analyzing standard of cross-hole seismic attributes and coherence between seismic attributes, using ordinary cluster analysis method to complete the optimum processing of seismic attributes ;selecting neural network analysis method and non-parameter regression analysis method, the transformation from optimized seismic attributes in main targets to reservoir parameters section has been realized. The application of real data showed that some relative techniques being suitable for surface seismic data can also be used for cross-hole seismic section when considering the speciality of cross-hole seismic data, the precision and effects are more better than that in surface seismic prospecting.