帕雷托模型的组合优化算法及其应用

Combinational optimization algorithm of Pareto model and its application

油藏规模序列法是油气资源评价中一种重要的方法,但目前标准算法以最小标准差为原则选择k值的做法容易导致不合理的预测结果。将根据实际储量数据确定帕雷托模型参数的问题转化为一个组合优化问题,首次提出k-线图概念和确定k值的122法则。大量测试结果表明,122法则结合k-线图所确定的k值更加合理,可提高预测精度。

Reservoir size sequence method is an important method of hydrocarbon resources evaluation. The currently used standard algorithm, which picks k value by the minimal standard deviation, tends to have irrational prediction result. The problem of determining parameters of Pareto model according to actual reserve data is converted to a problem of combinational optimization. The concept of k-chart and the 122 Law of defining k value are proposed for the first time. A great number of test results indicate that the k value determined by 122 Law combining with k-chart is more reasonable and can improve prediction accuracy.