乌尔逊凹陷北部圈闭综合评价

Evaluation on traps of northern Wuerxun Sag

应用人工神经网络方法和灰色系统关联分析方法对乌尔逊凹陷北部构造圈闭进行了评价。神经网络方法的优势在于能从复杂的圈闭含油气性与相关地质因素之间的关系中建立非线性预测网络,而不必考虑地质经验和模式;灰色关联分析则在地质经验的基础上,通过圈闭评价标准的建立,对圈闭进行描述和比较,进而确定圈闭评价级别。评价结果表明乌尔逊凹陷北部具有良好的含油气远景,黄旗庙构造带、苏仁诺尔构造带,以及乌中断裂附近各圈闭应该是勘探中的重点。研究结果显示,在油气田勘探的特定阶段,综合应用这两种方法评价圈闭是科学合理的。

Neural network theory and gray relationship analysis methods are applied to evaluate traps of northern Wuerxun Sag. Neural network theory can he used to build non-linear prediction network from complex geological (actors and the result of oil exploration without caring about geological model, and gray relationship analysis based on geological experience can be used to determine the perspective of traps. The result of evaluation shows that the best positions of oil exploration are Huangqimiao structure belt, Surennuoer structure belt and the close area of Wuzhong fault. It is reasonable to combine these two methods to evaluate traps in specific stage of oil exploration.