发明名称 PREDICTING WELL MARKERS FROM ARTIFICIAL NEURAL-NETWORK-PREDICTED LITHOSTRATIGRAPHIC FACIES
摘要 This disclosure generally describes methods and systems, including computer-implemented methods, computer-program products, and computer systems, for predicting well markers. One computer-implemented method includes separating neural-network (NN)-predicted facies output associated with a plurality of wells into two sets, a first set of NN-predicted facies output of training wells and a second set of NN-predicted facies output of target wells, calculating, for each training well of the plurality of wells, a sameness score between zones of NN-predicted facies output and human-identified lithostratigraphic units (finer zones), calculating a mean sameness score for the finer zones for all training wells, identifying finer zones with a mean sameness score greater than a threshold value as dominant facies zones, and iterating over each target well to calculate a top and depth position of each dominant facies zone determined based upon the NN-predicted facies output of the target well.
申请公布号 WO2015187441(A3) 申请公布日期 2016.04.07
申请号 WO2015US32837 申请日期 2015.05.28
申请人 SAUDI ARABIAN OIL COMPANY;ARAMCO SERVICES COMPANY 发明人 HIU, MARTIN D.;AL-HABIB, MURTADA I.;MOCHTAR, DJAMALUDIN MUHAMMAD
分类号 G01V99/00 主分类号 G01V99/00
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