隨著我國對石油需求的逐年增加，對石油勘探技術(shù)的要求也越來越高，而測井信
號的準(zhǔn)確識別對石油的勘探技術(shù)有著重大的意義。本文通過對測井信號的預(yù)處理，利用徑向基神經(jīng)網(wǎng)絡(luò)的一種延伸--概率神經(jīng)網(wǎng)絡(luò)，對測井信號進行網(wǎng)絡(luò)訓(xùn)練，達到識別的效果。研究和實驗結(jié)果表明，本文方法對測井信號的識別有很高的準(zhǔn)確性，實用性，運行速度快。
關(guān)鍵詞：模式識別；徑向基；概率神經(jīng)網(wǎng)絡(luò)；儲層
Abstract：As the oil demand increased year by year, oil exploration technology requirements are also getting higher and higher, so identify the exact signal for oil exploration technology has a great significance. Based on the logging signal preconditioning, Used a kind of RBF network extension—PNN to train the logging signal to attach the clustering effect. Research and experimental results show that this method of identification on logging signals has high accuracy, practicality, run faster.
Key words：Pattern Recognition; RBF; PNN; Reservoir