LI Kai1, HU Shaohua1, ZHANG Feng1, MA Zihan2, LI Jie1
1. Geological Research Center, GRI, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China; 2. Data Processing Center, GRI, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China
Abstract:Many attributes extracted from logging and seismic data can reflect reservoir features,the key to promote the knowledge of reservoirs is how to optimizesensitive attributes.The Relief F algorithm is a classic multi-class feature selection method,which can discriminate the relationship between features and categories.The sensitive features can be selected by the result of the iteration calculations based on the weight values and the consistency of the statistics.The Relief F algorithm is adequate for high-dimensional datasets with a large number of examples.We extract sensitive attributes with the Relief F method,which confirm the reliability and accuracy of the proposed algorithm with sand prediction and crossplots.
李艳芳,王成.地震多属性优选技术的研究与应用[J].山西煤炭,2013,33(5):36-38.LI Yanfang,WANG Cheng.Research and application of seismic multi-attribute optimization technology[J].Shanxi Coal,2013,33(5):36-38.
[2]
鲍祥生,尹成,赵伟,等.储层预测的地震属性优选技术研究[J].石油物探,2006,45(1):28-33.BAO Xiangsheng,YIN Cheng,ZHAO Wei,et al.Research of seismic multi-attribute optimization techno-logy for reservoir prediction[J].Geophysical Prospecting for Petroleum,2006,45(1):28-33.
[3]
许慧华,王志高.地震属性分析及其在胜利探区的应用[J].石油仪器,2002,16(5):21-24.XU Huihua,WANG Zhigao.Application of seismic attribute analysis in Shengli exploration area[J].Petroleum Instruments,2002,16(5):21-24.
[4]
姜岩,周再林,秦月霜.地震属性分析的神经网络岩性识别技术及应用[J].大庆石油地质与开发,2000,19(5):39-42.JIANG Yan,ZHOU Zailin,QIN Yueshuang.Neural-network lithology identification technique of seismicattribute analysis and its application[J].Petroleum Geology and Oilfield Development in Daqing,2000,19(5):39-42.
[5]
谢东,王永刚,乐友喜,等.地震属性分析技术在子寅油田开发中的应用[J].石油物探,2003,42(1):72-76.XIE Dong,WANG Yonggang,YUE Youxi,et al.Application of seismic attribute analysis technology in the production of Ziyin oilfield[J].Geophysical Prospecting for Petroleum,2003,42(1):72-76.
李晓岚.基于特征选择算法的研究及应用[D].辽宁大连:大连理工大学,2013.LI Xiaolan.The Study and Applicaton of Feature Selection Algorithms Based on Relief[D].Dalian University of Technolgy,Dalian,Liaoning,2013.
[8]
黄莉莉,汤进,孙登第,等.基于多标签Relief F的特征选择算法[J].计算机应用,2012,32(10):2888-2890,2898.HUANG Lili,TANG Jin,SUN Dengdi,et al.Feature selection algorithm based on multi-label Relief F[J].Journal of Computer Application,2012,32(10):2888-2890,2898.
[9]
马晶莹,宣恒农.扩展Relief F的两种多标签特征选择算法[J].计算机应用与软件,2017,34(7):298-302,324.MA Jingying,XUAN Hengnong.Two feature selection algorithms for multi-label classification by extending Relief F[J].Computer Applications and Software,2017,34(7):298-302,324.