【摘要】 储层物性参数的分布一直是油藏描述的关键问题和难点。本文采用随机规划与ANN(人工神经网络模型)相结合的建模方法,设计了一种改进的GA(遗传算法)作为随机规划模型的解法,并把这种方法用于储层参数的预测。实验表明该模型具有较强的预测能力和实用性。更多还原

【Abstract】 Distribution of reservoir physical parameter is always the bottleneck problem and difficulty of reservoir description. This paper adopts the modeling method of combination of random plan and ANN (Artificial Neural Networks) , designs a improved GA (Genetic Algorithm) qua the solution of random plan model, and applies the method to predict reservoir parameter. Experiments show the model occupies preferable predication performance and practicability.更多还原