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为解决跨度时间较长二维地震测线提取属性差异较大的问题,提出了以测线交点信息为约束,结合模拟退火算法调整优化参数对地震属性标准化处理的新方法,以解决二维地震资料不同测线地震属性一致性较差的问题.标准化处理后的震属性与储层具有很好的相关性.采用模糊神经网络方法对研究区长81段砂岩厚度进行了地震属性定量预测,表明标准化后的二维地震信息的融入能够有效的提高储层预测的精度.
In order to solve the problem that the extraction properties of 2D seismic lines with large span time are quite different, a new method to normalize the seismic attributes by adjusting the optimized parameters with the intersection of the line intersection and the simulated annealing algorithm is proposed to solve the problem of 2D seismic The consistency of seismic attributes of different surveyed data is poor.The standardization of the seismic attributes has a good correlation with the reservoir.The quantitative prediction of the seismic attributes of sandstone thickness of section 81 in the study area is carried out by the method of fuzzy neural network The integration of standardized two-dimensional seismic information can effectively improve the accuracy of reservoir prediction.