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高如曾(1984)在“预测油气富集的数理统计法”一文中认为,模糊领域的信息统计量似乎更适应描述地震信息量的特征。但是,该法计算过程繁杂,不便应用。本文依据高如曾提供的38口样本井的资料,仍以构造部位、曲率、气底振幅比、瞬时相位,瞬时频率、视极性与气顶振幅比等六种参数为基础,设计一个新的综合评判油气富集的数学模型,其程序有两部分,一个是由样本数据求频率及最佳权数分配程序,另一个是预测程序。整个计算过程比较简便,易推广使用。在应用Fuzzy综合评判法时,确定好的权数分配是预测可靠性的关键。在使用本程序时,只要通过缩小步长逐步搜索,都能获得好的权数分配。第一步步长的选择不宜大,也不宜太小,以0.3—0.4为宜。
Gao, Zeng (1984), in his article “Mathematical Statistics for Predicting Oil and Gas Enrichment,” suggests that information statistics in the fuzzy domain appear to be more adapted to characterize the amount of seismic information. However, the method of calculating the complex, inconvenient to use. Based on the data of 38 sample wells provided by Gao, we still design a new design based on the six parameters of structure location, curvature, bottom amplitude ratio, instantaneous phase, instantaneous frequency, apparent polarity and gas cap amplitude ratio The comprehensive evaluation of hydrocarbon enrichment mathematical model, the program has two parts, one is the sample data to calculate the frequency and the optimal weight distribution program, and the other is the prediction process. The whole calculation process is relatively simple and easy to promote the use of. In the application of fuzzy comprehensive evaluation method, the determination of a good weight distribution is the key to reliability. When using this program, as long as the search step by step to narrow the size, can get a good distribution of weights. The choice of the first step should not be large, it should not be too small, appropriate to 0.3-0.4.