新疆石油地质

›› 2013, Vol. 34 ›› Issue (2): 1-1.

• 论文 •    

用非均质性综合指数研究大路沟A区储集层

梁力文1a，1b，旷理雄1b，敬小军2，史德锋1b，黄文俊1b   

  1. (1.中南大学 a.有色金属成矿预测教育部重点实验室;b.地球科学与信息物理学院,长沙 410083 2.中国石油 长庆油田分公司 采油四厂,银川 750006)
  • 出版日期:2019-01-01 发布日期:1905-07-10

Application of Heterogeneity Index to Study of BlockA Reservoir in Dalugou Area of Jing’an Oilfield, Ordos Basin

LIANG Liwen1a,1b, KUANG Lixiong1b, JING Xiaojun2, SHI Defeng1b, HUANG Wenjun1b   

  1. (1.Central South University, a.MOE Key Laboratory of Metallogenic Prediction of Nonferrous Metals, b.School of Geosciences and InfoPhysics, Changsha, Hunan 410083, China; 2.No.4 Oil Production Plant, Changqing Oilfield Company, PetroChina, Yinchuan, Ningxia 750006, China)
  • Online:2019-01-01 Published:1905-07-10

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摘要： 以靖安油田大路沟A区三叠系延长组长2碎屑岩储集层为例,运用灰色关联分析法与非均质性综合指数分析了储集层非均质性。结果表明，靖安油田大陆沟A区长2油层组储集层非均质性总体偏弱，储集层质量较好；东部地区储集层非均质性相对较弱，西北和西南地区储集层非均质性较强，自东向西非均质性有逐渐变强的趋势。储集层非均质性主控因素为层内夹层，受控于沉积微相。注水见效较快的区域，非均质综合指数为0.65~0.75，是剩余油分布的有利地区。灰色关联分析法计算简单，运算速度快，能够准确地求取各参数的权重系数。引入非均质综合指数能够克服单一因素表征储集层非均质性的不足，结合高斯随机模拟，实现了储集层非均质性的定量表征。

Abstract: The reservoir heterogeneity index and grey association analysis were used to study the reservoir heterogeneity in Chang?2 clastic reservoir of the Triassic Yangchang formation of Block?A in Dalugou area of Jing’an oilfield in Ordos basin. The result shows that the Chang?2 reservoir of Block?A is totally good in quality, the reservoir heterogeneity in the east area is relatively weak than the northwest and southwest areas. The heterogeneity trend gradually becomes stronger from the east to the west. The main controlling factors are the interlayers and sedimentary microfacies. The quicker response area after water injection could be the favorable area in remaining oil distribution, where the regional heterogeneity index ranges from 0.65 to 0.75. The study also indicates that the gray association analysis is simple and fast in calculation to more accurately give the weight coefficients of each parameter. The reservoir heterogeneity index can be used to overcome the lack of a single factor characterization of reservoir heterogeneity. Combined with the Gaussian random function simulation, a quantitative characterization of the reservoir heterogeneity is also realized

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