Application of rprop algorithm to well logging lithologic identification 算法在測井巖性識別中的應用
Lithologic identification of xing anling group in sudeerte oilfield 蘇德爾特油田興安嶺群巖性識別方法
The experiment shows that self - organized characteristic map neural network is feasible for lithologic identification of logging data and has a high rate of identification 實驗結(jié)果表明:自組織特征映射神經(jīng)網(wǎng)絡(luò)對測井數(shù)據(jù)進行巖性識別是可行的,而且識別率較高,是一種行之有效的巖性識別的好方法。