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凝析气藏是一类重要的油气资源,凝析气田在世界气田开发中占有特殊重要的地位.凝析气藏流体的露点压力是评价凝析气藏开发价值及决定其开采方案的主要参数之一,也是石油工业基础研究方面具有相当难度的探索性研究课题.本文通过实验、经验公式以及BP神经网络模型对凝析气藏露点压力研究,发现针对凝析气藏组分特点的BP神经网络模型计算的露点压力误差较小,适应性较强.“,”Gas condensate reservoir is an important kind of oil and gas resources, gas condensate field development occupies a special importance in the world. Gas condensate reservoir fluid dew point pressure is one of main parameters to evaluate the value of gas condensate reservoir development and to determine exploration programs, and is also a very difficult exploratory basic research subject of oil industry. According to gas condensate dew point pressure of experiment, empirical formula and the BP neural network model, this paper found the BP neural network model of the dew point pressure with small error and strong adaptability.