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本文把油气资源评价的成因法和统计模拟法相结合，建立了帕雷托截断分布模拟法，预测大型含油气地质单元的油气田数目及规模分布。本方法提出了对资源评价具有重要意义的“资源集中程度”参数，采用迭代过近算法实施模拟运算。最后应用此方法对塔里木盆地石油资源进行了预测，并就有关参数的选取作了探讨．
In this paper, the genetic method of oil and gas resource evaluation is combined with the statistical simulation method to establish the Pareto truncation distribution simulation method to predict the number and size distribution of large-scale oil and gas-bearing geological units. This method puts forward the “concentration degree of resources” parameter which is of great significance to resource evaluation, and adopts the iterative over-near algorithm to implement the simulation operation. Finally, this method is used to predict the petroleum resources in Tarim Basin, and the selection of relevant parameters is discussed.