致密砂岩储层多尺度裂缝地震预测技术——以川西XC地区为例

doi:10.11743/ogg20210319

摘要/Abstract

摘要：

针对川西XC地区的致密砂岩裂缝预测，研究并形成了一套基于地震叠前与叠后多属性融合的裂缝地震预测方法。将裂缝分成地震可识别的大尺度裂缝与地震难以识别的小尺度裂缝，首先利用信噪比高的叠后地震数据提取与大尺度裂缝相关的几何类地震属性，然后进行多属性融合刻画目的层段大尺度裂缝的分布规律；再结合叠前方位道集数据进行频率依赖各向异性特征预测的目的参数反演，实现对小尺度裂缝的预测；最后，综合大小尺度裂缝预测结果开展目的层裂缝发育规律研究，预测储层裂缝发育有利区。实际数据应用结果表明，利用多尺度裂缝综合预测技术可以很好地实现对裂缝性储层的准确描述，预测结果与实际生产井的油气产出情况吻合率高。

关键词: 多尺度裂缝, 地震各向异性, 裂缝预测, 储层描述, 致密砂岩

Abstract:

A seismic fracture prediction method is proposed based on the fusion of multiple prestack and poststack seisimc attributes for predicting the development of tight sandstone reservoir fractures in XC area in the Sichuan Basin.The fracutres in the area include both large-scale fracutres that can be identified by seismic responses and small-scale fracutres that can not be readily identified by seismic responses.It is the latter that requires special processing.The geometric seismic attributes related to large-scale fractures are firstly extracted by using the poststack seismic data of high signal-to-noise ratio and then combined with the distribution pattern of the fractures in the target layer characterized with multi-attribute fusion to predict the distribution of small fractures through further combination with frequency-dependent anisotropic parameter inversion.At last, the prediction results are summarized to analyze the fracture distribution pattern of the target layer, with a view to accurately depicting potential targets with well-developed fractures.In all, the actual data obtained are consistent with predicted results, showing that fractured reservoirs can be accurately described by using this integrated multi-scale fracture prediction technology.

Key words: multi-scale fracture, seismic anisotropy, fracture prediction, reservoir characterization, tight sandstone

中图分类号:

TE122.1

刘俊州,韩磊,时磊,等. 致密砂岩储层多尺度裂缝地震预测技术——以川西XC地区为例[J]. 石油与天然气地质, 2021, 42(3): 747-754. doi: 10.11743/ogg20210319 Junzhou Liu,Lei Han,Lei Shi,et al. Seismic prediction of tight sandstone reservoir fractures in XC area, western Sichuan Basin[J]. Oil & Gas Geology, 2021, 42(3): 747-754. doi: 10.11743/ogg20210319

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