Ica as a new signal processing technique is used to determine the projection coefficient matrix which represents the features characterizing the current operating condition . multiple well - trained support vector machines use the projection coefficient matrix as their inputs to identify the fault 獨(dú)立分量分析被用來(lái)從當(dāng)前工況的數(shù)據(jù)矩陣中提取出代表當(dāng)前工況特征的投影系數(shù)矩陣,而這些投影系數(shù)矩陣則被用來(lái)訓(xùn)練多個(gè)支撐向量機(jī),從而利用它們實(shí)現(xiàn)故障類型的識(shí)別。
In practice , core calibration logging technology is used to establish the logging interpretation model of low resistance reservoir , to quantitatively measure some geological parameters of the reservoir , such as porosity , saturation and permeability , and to combine the core physical experiment , geological composite logging , production test data with multiple well logging data , with the qualitative logging interpretation and the quantitative logging interpretation , so as to deepen the geological understanding on the low resistance reservoir and improve the logging interpretation accuracy 在實(shí)踐中,可用巖心刻度測(cè)井技術(shù)建立低阻儲(chǔ)層測(cè)井解釋模型,定量測(cè)定儲(chǔ)層孔隙度、飽和度、滲透率等地質(zhì)參數(shù),并把巖心物理實(shí)驗(yàn)、地質(zhì)綜合錄井、試油資料與多井測(cè)井資料結(jié)合起來(lái),把定性測(cè)井解釋與定量測(cè)井解釋結(jié)合起來(lái),以便加深對(duì)低阻儲(chǔ)層的地質(zhì)認(rèn)識(shí),提高測(cè)井解釋精度。