Application of Multi Level Fuzzy Comprehensive Evaluation Method in the Research of Remaining Oil Distribution in Xing 6 District

doi:10.11885/j.issn.1674-5086.2013.08.30.31

Abstract

Abstract:

After 43 years of water flooding development，Xing 6 district of Daqing Oilfield has now entered the late period
of high water cut stage. It had many problems，such as a high degree of overall recovery，serious flooding and complex
underground oilwater relationship. Therefore，a detailed research of the distribution of remaining oil is urgently needed. On the
basis of comprehensive analysis of the geological factors and development factors affecting the distribution of remaining oil，
and making use of the dynamic and static data of the Xing 6 district reservoir，we selected four geological factors：the types
of sedimentary facies，reservoir thickness，plane connectivity，structure，and five development factors：injection relationship，
injection distance，well network，water status，direction by the effect. All the nine static and dynamic factors constitute the
remaining oil potential evaluation factors. With coring well data and water data of each layer，we made hierarchical division
and statistical weights of all the factors，and studied the distribution of remaining oil with multi level fuzzy comprehensive
evaluation method. We used the final remaining oil evaluation results of each well to draw out the remaining oil plane distribution
probability plots of layer S2 7. A comparison of the results with numerical simulation and core analysis results proved that
remaining oil of single layer recognition accuracy is 86.7%，which means this method can predict the remaining oil distribution
accurately，ang has higher practicability and reliability. This method provides a basis researches on remaining oil distribution
of similar reservoir.

Key words: Xing6 district reservoir, influence factors, multi level, fuzzy comprehensive evaluation method, distribution of
remaining oil

Hu Wei1*, Yang Shenglai1, Li Siming2, Wang Zhilin1, Li Ying1. Application of Multi Level Fuzzy Comprehensive Evaluation Method in the Research of Remaining Oil Distribution in Xing 6 District[J]. 西南石油大学学报(自然科学版), DOI: 10.11885/j.issn.1674-5086.2013.08.30.31.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2013.08.30.31

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2015/V37/I4/22

References

[1] 涂兴万，陈林媛，莫文丽，等. 高含水期复杂断块油
藏剩余油分布及挖潜[J]. 西南石油学院学报，2004，
26（1）：39 42.
Tu Xingwan，Chen Linyuan，Mo Wenli，et al. Remind oil
distribution and improvement production potential study
on high water cut complex fault block oil reservoir[J].
Journal of Southwest Petroleum Institute，2004，26（1）：
39 42.
[2] Mohaghegh S D，Gaskari R，Jalai J. A new method for
production data analysis to identify new opportunities
in mature fields：Methodology and application[C]. SPE
98010，2005.
[3] 李志鹏，林承焰，史全党，等. 高浅南区边水断块油藏
类型及剩余油特征[J]. 西南石油大学学报：自然科学
版，2012，34（1）：115 120.
Li Zhipeng，Lin Chengyan，Shi Quandang，et al. Types
of edge-water fault block reservoirs and features of residual
oil in the Gaoqiannan Area[J]. Journal of Southwest
Petroleum University：Science & Technology Edition，
2012，34（1）：115 120.
[4] 李鸿吉. 模糊数学基础及实用算法[M]. 北京：科学出
版社，2005.
[5] 赵红兵，徐玲. 特高含水期油藏剩余油分布影响因素
研究[J]. 石油天然气学报，2006，28（2）：110 113.
Zhao Hongbing，Xu Ling. Factors affecting the remaining
oil distribution at extra high water cut stage[J]. Journal of
Oil and Gas Technology，2006，28（2）：110 113.
[6] 陈程，贾爱林，孙义海，等. 厚油层内部相结构模
式及其剩余油分布特征[J]. 石油学报，2000，21（5）：
99 102.
Chen Cheng，Jia Ailin，Sun Yihai，et al. Microfacies architecture
patterns and the distribution of the remaining oil
within thick pays[J]. Acta Petrolei Sincia，2000，21（5）：
99 102.
[7] 于洪文. 大庆油田北部地区剩余油研究[J]. 石油学报，
1993，14（1）：72 80.
Yu Hongwen. A macroscopic study of remaining oil in
the reservoir in northern part of Daqing Oilfield[J]. Acta
Petrolei Sincia，1993，14（1）：72 80.
[8] 肖洪伟. 喇萨杏油田水下分流河道砂体剩余油分布研
究[J]. 西南石油大学学报：自然科学版，2013，35（1）：
63 66.
Xiao Hongwei. Study of remaining oil distribution of
underwater distributary channel in Lasaxing Oilfield[J].
Journal of Southwest Petroleum University：Science &
Technology Edition，2013，35（1）：63 66.
[9] 孙梦茹. 基于模糊综合评判的剩余油分布定量描述[J].
油气地质与采收率，2005，12（2）：52 54.
Sun Mengru. Quantitative description of remaining oil distribution
based on fuzzy comprehensive discrimination
analysis[J]. Petroleum Geology and Recovery Efficiency，
2005，12（2）：52 54.
[10] 韩立岩，汪培庄. 应用模糊数学[M]. 北京：首都经济贸
易大学出版社，1989：134 166.
[11] 高海红，程林松，赵梅，等. 稠油油藏蒸汽驱筛选的
模糊综合评判[J]. 西南石油大学学报，2007，29（3）：
53 56.
Gao Haihong，Cheng Linsong，Zhao Mei，et al. Fuzzy
comprehensive evaluation of steam flooding sorting heavy
oil reservoir[J]. Journal of Southwest Petroleum University，
2007，29（3）：53 56.
[12] 张俊法，常剑，杨瑞敏. 用综合评判方法优选压裂井
层[J]. 断块油气田，2001，8（1）：30 32.
Zhang Junfa，Chang Jian，Yang Ruimin. Optimization
of fractured formation with comprehensive identification
fuzzy theory[J]. Fault Block Oil & Gas Field，2001，
8（1）：30 32.
[13] 杜庆龙，计秉玉，王元庆，等. 用多层次模糊综合评判
法确定单层剩余油分布[J]. 石油学报，2003，24（2）：
57 62.
Du Qinglong，Ji Bingyu，Wang Yuanqing，et al. Determination
of remaining oil distribution in single layer with
multiple fuzzy comprehensive evaluation method[J]. Acta
Petrolei Sincia，2003，24（2）：57 62.
[14] Du Qinglong，Qing Lu，Wang Baoqing，et al. Research
on the method of determination for remaining oil at late
period of high water cut stage[C]. SPE 50896，1998.
[15] 雷怀彦，龚承林，官宝聪. 注CO2 混相驱油藏筛选新方
法[J]. 中国石油大学学报：自然科学版，2008，32（1）：
72 76.
Lei Huaiyan，Gong Chenglin，Guan Baocong. New
screening method for reservoir by CO2 injection miscible
flooding[J]. Journal of China University of Petroleum，
2008，32（1）：72 76.
[16] 熊钰，孙良田，孙雷，等. 基于模糊层次分析法的注
CO2 混相驱候选油藏综合评价方法[J]. 石油学报，
2002，23（6）：60 62.
Xiong Yu，Sun Liangtian，Sun Lei，et al. A new integrative
evaluation way for candidate of carbon dioxide miscible
flooding reservoirs based on fuzzy analytical hierarchy
process[J]. Acta Petrolei Sincia，2002，23（6）：60 62.

Application of Multi Level Fuzzy Comprehensive Evaluation Method in the Research of Remaining Oil Distribution in Xing 6 District

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 10

Recommended Articles

Metrics

Comments

[1]	XU Honglin, YANG Bin, SHI Taihe, ZHANG Zhi. Analysis of Factors Influencing Hermetic Seal Performance with a Spherical-conical Surface and Special Screw Threads [J]. 西南石油大学学报(自然科学版), 2017, 39(6): 162-166.
[2]	Xu Honglin, Shi Taihe, Zhang Zhi. Theoretical Analysis on Makeup Torque in Tubing and Casing Premium Threaded Connections [J]. 西南石油大学学报(自然科学版), 2014, 36(5): 160-168.
[3]	Li Hongjian1, Meng Xue1, Li Ran1, Tang Xin2, Wang Deyu2. Experimental Study on Factors Affecting the Effect of Barium Sulfate Scale Inhibition [J]. 西南石油大学学报(自然科学版), 2014, 36(1): 139-144.
[4]	Zhu Jinli1, Li Junjian2, Zhou Yuanlong3, Qin Jie4, Sang Guoqiang2. Productivity Calculation Method for Complex Structure Well Thermal Recovery Based on Surrogate Model [J]. 西南石油大学学报(自然科学版), 2013, 35(3): 124-130.
[5]	Fan Zhaoqi;Cheng Linsong;Li Xiaorong;Jia Yuqin;Dai Fu. Influence Factor Analysis and Field Application of Deep Profile-controllingBased on the Streamline Model [J]. 西南石油大学学报(自然科学版), 2013, 35(2): 121-126.
[6]	YU Hai-yang ZHANG Jian WANG Ye-fei JI Wen-juan WANG Suo-liang . Rheological Behaviors and Viscoelasticity of Phenolic Resin Gel [J]. 西南石油大学学报(自然科学版), 2011, 33(3): 159-164.
[7]	LI Cheng-yong LIU Qi-guo ZHANG Lie-hui ZHANG Ran ZHANG SHeng- bing. THE WELL TEST INTERPRETATION OF PARTIALLY PERFORATED VERTICAL WELL IN THIN BED BOTTOM WATER RESERVOIR [J]. 西南石油大学学报(自然科学版), 2007, 29(1): 79-81.
[8]	LICheng-yong LIU Qi-guo ZHANG Lie-hui et al. THE RESEARCH OF W ELL TEST OF HORIZONTAL WELL IN TRIPLE MEDIUM RESERVO IR [J]. 西南石油大学学报(自然科学版), 2006, 28(4): 32-35.
[9]	TANG Hong-lin XU Xin-qiang LI Zu-kui. STUDY OF OFFSHORE OILFIELD BURIED STRUCTURE DRILLING DIFFICULTIES AND PRACTICAL METHODS OF IMPROVING ROP [J]. 西南石油大学学报(自然科学版), 2004, 26(5): 51-53.
[10]	YANG Xue-feng GUO Ping DU Zhi-min et al.. INFLUENCE FACTORS APPRAISAL OF SLIM-TUBE SIMULATION TO DETERMINE THE MINIMUM MISCIBILITY PRESSURE [J]. 西南石油大学学报(自然科学版), 2004, 26(3): 41-44.