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雅克拉构造位于中国新疆塔里木盆地东北部，沙雅隆起的中段，为一高断块，地处南北侧两个生油拗陷油气运移指向的聚集地带。布于构造上的沙参２井于奥陶系获高产工业油气流。在油气化探工作中，土壤气体测量法属多指标找矿法。在数学地质领域内，因子分析（Ｒ型或Ｑ型）是一种多元统计方法，是用以进行系统分类和成因分类的重要手段。本文通过对雅克拉工区１９５个土壤样品、１３个气测指标（烃类气体１２个，稀有气体１个）进行Ｒ型因子分析，根据因子图解特征，划分因子得分异常区带。以预测该区含油气性。随着地质资料的日益丰富，为进一步对比研究地表异常划分和异常分布特征，作者于１９９３年再次对图形数据进行处理，采用电子计算机成图，对工区异常区带的划分作了修改。
The Yakela structure is located in the northeastern part of the Tarim Basin in Xinjiang, China. It is a high fault block in the middle part of the Shaya uplift. It is located in the gathering area where the oil and gas migrate from the two oil depressions in the north and south sides. Fabricated in the sand on the 2 wells in the Department of Ordovician oil and gas production by high-yield industrial. In the oil and gas geochemical exploration, soil gas measurement method is a multi-index prospecting method. In the field of mathematical geology, factor analysis (R type or Q type) is a multivariate statistical method and is an important means for classification of systems and genesis. In this paper, R-factor analysis was performed on 195 soil samples in the Yakela work area, 13 gas detection indexes (12 hydrocarbon gases and 1 rare gas), and according to the factor graphic feature, the factor score anomaly zone was divided. In order to predict the oil and gas in the area. With the increasing abundance of geological data, in order to further study the characteristics of surface anomalies and anomalies, the author once again processed the graphic data in 1993, and modified the division of anomalous zones in the area by using computer graphics.