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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。
In the process of predicting seismic reservoirs, it is often the first objective analysis of the attributes of anomalies caused by seismic attributes based on the surface environment, acquisition of objective factors, improper handling, etc., and to fully understand the various non-reservoir information carried by the various attributes of the earthquake. Analysis of geological data, such as sedimentary environment, tectonic characteristics, lithologic changes, changes in physical properties, etc .; Finally, the performance characteristics of reservoir gas in the seismic attributes, combined with non-geological and non-gas-bearing gas-carrying Prediction, paying particular attention to the conditions for the application of the prediction method, predicts gas-bearing properties on the same level of geological and reservoir factors. According to the above process, the 3D seismic area in the eastern Sulige gas field is studied in detail. For the multi-attribute reservoir prediction in 3D seismic data attribute analysis, the SVD method is used to reduce the dimension of the seismic attributes, Optimization, to a certain extent, reduce the multi-solution of reservoir prediction of 3D seismic and reduce the risk of well site deployment in gas field. It has played a very good application effect in rolling evaluation and overall development of gas field.