【摘要】 在进行地震储层预测时,经常先对地震属性依据地表环境、采集客观因素、处理不当等原因引起属性异常进行客观分析,充分理解地震各个属性所携带的各种非储层信息;然后再综合分析地质资料,诸如沉积环境、构造特征、岩性变化、物性变化等;最后才是储层含气性在地震属性上的表现特征,再结合非地质因素和非含气性因素进行含气性预测,尤其注意预测方法的适用条件,即在同等级别的地质因素、储层因素的前提下预测含气性。按照上述流程对苏里格气田东区三维地震区进行详细研究,针对三维地震资料属性分析中对于储层预测多解性问题,采用了奇异值分解(SVD)的方法对地震属性展开降维,分类优化,在一定程度上降低了三维地震预测储层的多解性,降低了气田开发井位部署风险,在气田滚动评价与整体开发中起到很好的应用效果。更多还原

【Abstract】 In seismic reservoir prediction,we firstly deal with the abnormality of seismic attribute due to surface or seismic acquisition,misleading data processing and understand the seismic attribute with a variety of reservoir information;then we illustrate comprehensively the geological data,such as,sedimentary environment,tectonic features,lithology,physical property;finally the performance characteristics of the gas bearing property of reservoirs in the seismic attribute is determined in combination with geologic factors,no gas bearing prediction factors.Here,we must pay special attention to the conditions of the prediction method like as the prediction of gas bearing in one level of geological and reservoir factors.In this paper we use the singular direct decomposition method to reduce dimensionality of seismic attributes and optimize the deployment in the eastern Sulige gas field 3D seismic,since there is the ambiguity of reservoir prediction in the 3D seismic data attribute analysis.To a certain extent,this method reduces the ambiguity of the seismic reservoir and decrease the risk of well deployment in the gas development,getting the good effect on rolling evaluation and overall development.更多还原