In this study, we analyzed the geological, gravity, magnetic, and electrical characteristics of depressions in the Erlian Basin. Based on the results of these analyses, we could identify four combined feature parameters showing strong correlations and sensibilities to the reservoir oil-bearing conditions: the average residual gravity anomaly, the average magnetic anomaly, the average depth of the conductive key layer, and the average elevation of the depressions. The feature parameters of the 65 depressions distributed in the whole basin were statistically analyzed: each of them showed a Gaussian distribution and had the basis of Bayesian theory. Our Bayesian predictions allowed the definition of a formula to calculate the posterior probability of oil occurrence in the depressions based on the combined characteristic parameters. The feasibility of this prediction method was verified by considering the results obtained for the 22 drilled depressions. Subsequently, we were able to determine the oil-bearing threshold of hydrocarbon potential for the depressions in the Erlian Basin, which can be used as a standard for quantitative optimizations. Finally, the proposed prediction method was used to calculate the probability of hydrocarbons in the other 43 depressions. Based on this probability and on the oil-bearing threshold, the five depressions with the highest potential were selected as targets for future seismic explorations and drilling. We conclude that the proposed method, which makes full use of massive gravity, magnetic, electric, and geological data, is fast, effective, and allows quantitative optimizations; hence, it will be of great value for the comprehensive geophysical evaluation of oil and gas in basins with depression group characteristics.

在这项研究中，我们分析了二连盆地凹陷的地质，重力，磁和电特征。根据这些分析的结果，我们可以确定四个组合特征参数，这些参数与储层含油条件具有很强的相关性和敏感性：平均残余重力异常，平均磁异常，导电键层的平均深度和洼地的平均高度。对整个盆地65个凹陷的特征参数进行统计分析：每个凹陷均表现出高斯分布，并具有贝叶斯理论的基础。我们的贝叶斯预测允许定义公式，以便基于组合的特征参数来计算凹陷中发生石油的后验概率。考虑到22个凹陷的钻探结果，验证了这种预测方法的可行性。随后，我们能够确定二连盆地凹陷处的烃类潜能的含油阈值，可以将其用作定量优化的标准。最后，所提出的预测方法被用于计算其他43个凹陷中油气的概率。基于此概率和含油阈值，选择了潜力最大的五个凹陷作为未来地震勘探和钻探的目标。我们得出的结论是，所提出的方法充分利用了巨大的重力，磁，电和地质数据，是快速，有效的方法，并且可以进行定量优化。因此，