Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《ACTA PETROLEI SINICA》 1997-01
Add to Favorite Get Latest Update

AN QUANTITATIVE PREDICTION OF THIN LAYER SANDSTONE BY CLUSTER AND INCIDENCE DEGREE ANALYSIS

Wang Junling (Daqing Petroleum Institute) Li Buohu Gao Yanlou Wang Xiujuan (Daqing Petroleum Administration)  
For many years, thin layer sandstone prediction has been a major probleum that trouble geologists during oil field development.In view of depositional characteristics of thin layer sandstone in Yushulin oil field in Daqing,this paper adopted a new method of reservior transversal prediction,cluster analysis and incidence degree analysis,to predict thin layer sandstone quantitatively.It combined geology,logging,seismics,mathematics with computer technique and took YI group of Shu 32 well area in Yushulin oil field as an example to quantitatively predict thin layer sandstone, drilling tested accuracy is 86.5%.
【CateGory Index】: TE15
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 1 Hits
1 Li Junliang(SINOPEC Shengli Geological Scientific Reserch Institute,Shandong Dongying 257015);The Application of Separation Technology in Seismic Semblance Background to Reservoir Prediction of Beach-Bar Sandbody——Case of Es4 Sandbody in the Area of Dongying Sag of Jiyang Depression[J];工程地球物理学报;2008-03
【Citations】
Chinese Journal Full-text Database 1 Hits
1 Chen Jizhong Mo Mingdao Zhu Zhongkuan Geology Research Institute,Jiangsu Oil Exploration Bureau,Shaobo town,Yangzhou City,Jiangsu Province,Internal Postcode:225261;Lateral reservoir prediction using waveform analysis for bandlimited reflection waves.[J];石油地球物理勘探;1993-01
【Co-citations】
Chinese Journal Full-text Database 2 Hits
1 LI Shu jun,GAO Yan lou,TANG Zhen hai,JI Qing sheng(Exploration and Development Research Institute of Daqing Oilfield Company Ltd., Daqing 163712,China);Sand Comprehensive Prediction Technology of Fuyang Reservoir[J];大庆石油地质与开发;2002-04
2 Wang Junling (Daqing Petroleum Institute) Li Buohu Gao Yanlou Wang Xiujuan (Daqing Petroleum Administration);AN QUANTITATIVE PREDICTION OF THIN LAYER SANDSTONE BY CLUSTER AND INCIDENCE DEGREE ANALYSIS[J];石油学报;1997-01
【Co-references】
Chinese Journal Full-text Database 4 Hits
1 Liu Shuhui, Geological Scientific Research Institute, Shengli Oilfield Co. , Ltd. , Dongying, Shandong Province, 257015, China;Problems in thin-layer attribute analysis and solved methods-a case study in beach bar sandstones in Liang108 area of Dongying Sag[J];油气地质与采收率;2006-02
2 LUO Hong-mei, MU Xing, LIU Shu-hui (Geological Scientific Research Institute of Shengli Oilfield Company Limited, Sinopec, Dongying Shangdong 257071, China);THE INVERSION STRATEGY RESEARCHING OF ZHENGJIA-WANGZHUANG AREA[J];工程地球物理学报;2004-04
3 WANG En hua , HE Zhen hua , LI Qing zhong (1. Chengdu University of Technology, Chengdu610059, China; 2.Technology Development Centre, Bureau of oil GeophysicalProspecting, Zhuozhou City, Heibei Province072751, China);AN APPROACH TO THE THICKNESS DETERMINATION OF THIN BEDS[J];物探化探计算技术;2001-01
4 Wang Junling (Daqing Petroleum Institute) Li Buohu Gao Yanlou Wang Xiujuan (Daqing Petroleum Administration);AN QUANTITATIVE PREDICTION OF THIN LAYER SANDSTONE BY CLUSTER AND INCIDENCE DEGREE ANALYSIS[J];石油学报;1997-01
【Secondary References】
Chinese Journal Full-text Database 3 Hits
1 CUI Qin;YU Xin-Xia;PAN Long;YIN Xiao-Lan;LIU Ju-Wen;Institute of Geophysics,Academy of Exploration and Development of Petro China Xinjiang Oil Field Co.,Ltd.;Petro China Xinjiang Training Center;;Q estimation by centroid frequency shift method based on frequency-weighted-exponential function[J];物探与化探;2016-06
2 Wang Xiaojie,Yin Xingyao,Wu Guochen.School of Geosiciences,China University of Petroleum(East China),Qingdao 266555,China;The application of an S transform based absorption and attenuation technique for prediction of gas-bearing reservoir[J];石油物探;2012-01
3 Xu Liping (Institute of Exploration & Development,Northwest Petroleum Bureau, SINOPEC,Urumchi 830011,China);The Application of Multi-attribute Fusion Technology to the Reservoir Prediction of Carbonate Fracture and Cavity in Tazhong Area[J];工程地球物理学报;2010-01
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved