GSA、GPER软件在粒度沉积环境识别中的应用

Application of ANN Software GSA?GPER on Sedimentary Environment Identification of Particle-size Distribution

介绍河南油田引进的粒度数据处理及沉积环境识别系统 (GSA、GPER)原理并进行测试。粒度分布是一个混合正态粒度 (Φ )分布 ;沉积环境决定了子正态分布组合形式 ,即子正态分布组合与沉积环境有一定的对应关系。利用数学方法求解各个子正态分布参数 ,这些数据将具有最全面、最简洁的指相意义。系统采用BP神经网络完成子正态分布参数组合到沉积环境的复杂对应关系 。

The sedimentary environment identification of particle size distribution(GSA GPER) and the pattern recognition technique of back propagation neural networks are introduced.Particle size distribution is a mixed gaussian distribution.The combinatorial form of sub gaussian distributions is fixed by sedimentary environment,its parameters can be determined by mathematical method,but also have allsided and conise sign (characteristic )for saedimentary environment.The complicated relation,between these parameters and sedimentary environment,is cleared by BP neural networks.