Soil total petroleum hydrocarbon (TPH) pollution in oil fields is a worldwide environmental problem. In particular, the dense distribution of oil wells in low-permeability oil reservoirs has caused regional pollution superposition. We proposed a feasible method for the spatial ecological assessment for soil pollution in oil fields. Typical TPH-contaminated soil in the Shengli oil field was examined according to the classification of oil well properties, including the spatial structure, distribution density, and exploitation history. Soil TPH concentrations of each oil filed site was calculated by Monte Carlo simulation. The risks were assessed according to multiple receptors and risk sources. The results indicated that the average TPH concentration was greater than 2100 mg·kg^-1. The differences of TPH concentrations were mainly correlated to the exploitation period. The soil TPH content demonstrated a spatial cluster pattern according to the Anselin Local Moran’s Index (p < 0.01). The risk for wheat and earthworms showed that more than 98% of the study area was under a low risk level. However, high risk accounted for only 0.9% when bacteria was used as a bioindicator, and the composition of different risk levels was similar to that of the ecological risk assessed based on the soil quality index.

油田中的土壤总石油烃（TPH）污染是一个全球性的环境问题。特别是低渗透油藏中油井的密集分布造成了区域污染的叠加。提出了一种可行的油田土壤污染空间生态评价方法。根据油井性质分类，包括空间结构，分布密度和开采历史，对胜利油田典型的被TPH污染的土壤进行了研究。通过蒙特卡洛模拟计算每个油场的土壤TPH浓度。根据多种受体和风险来源评估了风险。结果表明，平均TPH浓度大于2100 mg·kg ^-1。TPH浓度的差异主要与开采期有关。根据Anselin局部Moran指数（p <0.01），土壤TPH含量表现出空间聚集模式。小麦和earth的风险表明，超过98％的研究区域处于低风险水平。但是，使用细菌作为生物指示剂时，高风险仅占0.9％，不同风险水平的构成与根据土壤质量指数评估的生态风险相似。