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以地震信息为主进行储层预测是常现有效的方法。然而，当地震资料表现为低分辨率、低保真度和低估噪比时，几乎所有的地震属性多数（振幅、频率等）都失去了自身的地质意义。在这种情况下，若工区内具有较为富集的钻井，则可利用统计学理论，从工区所有并同层段的各种测井曲线数据中分别提取均值、标准差、偏斜度和峭度。这些统计特征量表征了不同的储层特性，将同一种统计特征在平面上展开，可直观地反映出相应储层特性的横向变化。为了准确地描绘储层的发育程度，本文应用模糊数学方法，综合多种测井、钻井和孔隙率等资料，概括提炼出一个综合判别标准，来确定储层的发育程度和储集能力；然后，结合沉积相和地震信息，对储层作多参数、多视角的立体描述，从而指出含油气的有利地区。应用实例表明，预测结果与钻井反馈信息的符合率很高，说明此方法是可行的。
Reservoir prediction based on seismic information is an effective method. However, almost all seismic attributes (amplitude, frequency, etc.) lose their geological significance when seismic data are characterized by low resolution, low fidelity and undervaluation. In this case, if there is a well-enriched well in the work area, then statistical theory can be used to extract mean, standard deviation, skewness and steepness from various well logging data of all and same layers in the work area degree. These statistical features characterize different reservoir characteristics and expand the same statistical features on the plane, which can intuitively reflect the lateral variation of reservoir characteristics. In order to accurately depict the development of the reservoir, this paper summarizes and synthesizes a variety of well logging, drilling and porosity data to synthesize a comprehensive discriminant standard to determine the degree of reservoir development and storage capacity. , Combined with the sedimentary facies and seismic information, the reservoir for multi-parameter, multi-perspective three-dimensional description, indicating the favorable areas containing oil and gas. The application example shows that the coincidence rate between prediction result and drilling feedback information is very high, which shows that this method is feasible.