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[1]武春英,韩会平,蒋继辉,等.模糊数学法在储层评价中的应用 ———以鄂尔多斯盆地白于山地区延长组长4+5油层组为例[J].地球科学与环境学报,2008,30(02):156-160.
　WU Chun-ying,HAN Hui-ping,JIANG Ji-hui,et al.Application of Fuzzy Math Method to Reservoir Evaluation —Taking Chang 4 +5 Reservior of Yanchang Formation in Baiyushan Area in Ordos Basin as an Example[J].Journal of Earth Sciences and Environment,2008,30(02):156-160.
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模糊数学法在储层评价中的应用 ———以鄂尔多斯盆地白于山地区延长组长4+5油层组为例(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第30卷
期数:
2008年第02期
页码:
156-160
栏目:
基础地质与矿产地质
出版日期:
2008-06-20

文章信息/Info

Title:
Application of Fuzzy Math Method to Reservoir Evaluation —Taking Chang 4 +5 Reservior of Yanchang Formation in Baiyushan Area in Ordos Basin as an Example
作者:
武春英1; 韩会平2; 蒋继辉3; 李勇4; 王宝清5; 李园园4; 张琬茜4
1.长庆油田采油六厂,陕西西安710021;2.长庆油田勘探开发研究院,陕西西安710021; 3.长庆油田录井公司,陕西西安710021;4.长安大学地球科学与资源学院,陕西西安710054; 5.西安石油大学油气资源学院,陕西西安710061
Author(s):
WU Chun-ying 1; HAN Hui-ping 2; JIANG Ji-hui3; LI Yong4;  WANG Bao-qing 5; LI Yuan-y uan4; ZHANG Wan-qian4
1. No.6 Production Plant, Changqing Oilfield Limited, Xian 710021, Shaanxi, China; 2. Institute o f Exploration and Development, Changqing Oilfield Limited, Xian 710021, Shaanxi, China; 3. Well Logs Company, Changqing Oilfield Limited, Xian 710021, Shaanxi, China; 4. School o f Earth Sciences and Resources, Changan University, Xian 710054, Shaanxi, China; 5. School o f Oil and Gas Resources, Xian Shiyou University, Xian 710061, Shaanxi, China)
关键词:
鄂尔多斯盆地; 储层; 模糊数学; 逐步回归分析; Q型聚类统计; 分类评价
Keywords:
Ordos basin;  reservoir;  fuzzy mathematics;  progressive regression analysis;  Q-model gathering statistics;  classification evaluation
分类号:
P618.130.2+1;TE122.2+4
DOI:
-
文献标志码:
A
摘要:
运用模糊数学综合评判法,确定储层评判对象因素集,通过对鄂尔多斯盆地白于山地区延长组长4+5储 集层研究,认为孔隙度、渗透率、排驱压力、分选系数、孔喉均值是储层评判对象因素集。经过储层评判对象因素 集逐步回归分析,建立Ⅰ～Ⅳ类储层分类评价标准,其中Ⅰ～Ⅲ类为有效储层,Ⅳ类为非储集层。最后用Q型 聚类统计对储层分析,表明白于山地区长4+5储集层属于Ⅱ类,即中等储层。
Abstract:
This paper studies the object factor sets of reservoir evaluation in Baiyushan area through comprehensive evalution by the method of fuzzy mathematics. Firstly, the porosity, permeability, displacement pressure, sorting coefficient, pore throat are ascertained to be the object factor sets, and the judgement classificatory standard for evaluation of typesⅠ ～ Ⅳ is set up by progressive regression analysis, among which, the reservoir typesⅠ ～ Ⅲ are effective reservoirs, and there is no reservoir in typeⅣ . Then, the reservoir is analyzed overall by Q-model gathering statistics. The result shows that the sandstone belongs to typeⅡ , that is, medium reservoir.

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备注/Memo

备注/Memo:
收稿日期:2007-07-09
作者简介:武春英(1980-),女,山西忻州人,从事石油地质和沉积研究。E-mail:hanhpcq@petrochina.com.cn
更新日期/Last Update: 2008-06-20