摘要
针对常规粒子群优化算法在波阻抗反演中普遍出现的收敛速度慢、反演效率不高等缺点,提出了层状模型约束下的粒子群波阻抗反演方法。该方法通过迭代反演每层的样点数和对应的波阻抗值,并利用对模型层数的扫描实现波阻抗反演。模型试算结果表明,与常规粒子群算法比较,该方法收敛速度和反演精度均显著提高。实际资料的反演证明了该方法的有效性。
A new method of particle swarm optimization（PSO） impedance inversion is proposed because of the shortcomings of conventional PSO algorithm which has slow convergence rate and low inversion efficiency.The algorithm uses PSO algorithm to calculating the sample number and impedance for each layer of the model,and then uses the scanning method to obtain the optimal number of the layer.Compared with conventional PSO algorithm,the examples of synthetic data show that the method significantly improves the inversion accuracy and convergence rate,and the actual data also proves the validity of this method.
出处
《岩性油气藏》
CSCD
2011年第1期103-106,共4页
Lithologic Reservoirs
关键词
粒子群优化算法
层状模型
波阻抗反演
particle swarm optimization algorithm
stratified model
impedance inversion
