Abstract: In order to evaluate the sustainable development capacity of current oil and gas resources，a process neural network evaluation method based on quantum immune optimization is proposed.Firstly，on the basis of the sustainable development economy evaluation index system construction，the process neural network is applied to create the mapping relationship between evaluation Index system and the evaluation results.Secondly，the quantum immune algorithm is applied to optimize the weight of the process neural network，which completes the training process of network.Finally，the economy evaluation result of oil and gas sustainable development from 2004 to 2006 shows that the proposed method is feasible and effective.

Key words: process neural networks, quantum immune algorithm, oil and gas resource, general evaluation

摘要： 为评价我国目前油气资源的可持续发展能力，提出了一种将过程神经元网络与量子免疫算法相结合的评价方法。首先，在构建油气资源可持续发展能力评价指标体系的基础上，采用过程神经元网络建立评价指标体系与评价结果之间的映射关系；然后采用量子免疫算法完成网络的训练；最后，以2004年～2006年的油气资源经济可持续发展评价为例，验证了方法的有效性和可行性。

关键词: 过程神经元网络, 量子免疫算法, 油气资源, 综合评价