An artificial neural network (ANN) (34) and method of training the ANN for inversion of logging tool signals into well logs of formation parameters is taught (Fig. 4). Properly selected synthetic models (32) of earth formations are used to train the ANN (34). The models include Oklahoma and chirp type formations.
申请公布号
CA2432684(A1)
申请公布日期
2002.06.27
申请号
CA20012432684
申请日期
2001.12.19
申请人
HALLIBURTON ENERGY SYSTEMS, INC.
发明人
SAN MARTIN, LUIS E.;MERCHANT, GULAMABBAS A.;STRICKLAND, ROBERT W.;HAGAN, MARTIN T.;CHEN, DINGDING
