确定储层损害预测评价指标权值的层次分析法

doi:10.7623/syxb201106017

石油学报 ›› 2011, Vol. 32 ›› Issue (6): 1037-1041.DOI: 10.7623/syxb201106017

确定储层损害预测评价指标权值的层次分析法

蒋官澄 1,2 吴雄军 2 王晓军 3 张卫行 2 李洋洋 2 王金树 2

1中国石油大学石油工程教育部重点实验室北京 102249； 2中国石油大学石油工程学院山东青岛 266555； 3中国石油长城钻探工程有限公司工程技术研究院辽宁盘锦 124010

收稿日期:2011-04-17 修回日期:2011-08-17 出版日期:2011-11-25 发布日期:2012-01-17
通讯作者: 蒋官澄
作者简介:蒋官澄，男，1966年2月生， 2005年获中国海洋大学理学博士学位，现为中国石油大学(北京) 教授、博士生导师，主要从事油气层损害与保护、油田化学等方面的教学和科研工作。
基金资助:
国家杰出青年科学基金项目(50925414)和国家科技重大专项(2011ZX05009-005)联合资助。

Application of the analytical hierarchy process to determining evaluation index weights for the prediction of reservoir damage

JIANG Guancheng 1,2 WU Xiongjun 2 WANG Xiaojun 3 ZHANG Weihang 2 LI Yangyang 2 WANG Jinshu 2

Received:2011-04-17 Revised:2011-08-17 Online:2011-11-25 Published:2012-01-17

摘要/Abstract

摘要：

储层损害快速预测模型的建立可以及时准确地提供储层潜在损害类型及程度，为储层保护工作指明方向。然而各损害类型的影响因素颇多，每种因素在损害中具体发挥多大作用是人们研究的重点和难点。以往进行储层损害预测都采用裸权或者是专家咨询法赋权，前者忽略了各特征属性对损害结果的相对贡献度不同这一事实，后者过分依赖专家的主观判断和经验，其结果有时难以令人信服。层次分析法将组成复杂问题的多个元素权重的整体判断转变为对这些元素进行“两两比较”，然后对这些元素的整体权重进行排序判断，最后确立各元素的权重。以水敏为例，采用层次分析法对其影响因素进行了权值赋予，最后用模式识别检验了因素赋权对准确率的影响。结果表明：层次分析法将决策者的主观判断及客观推理紧密地联系起来，可以较合理地对各损害因素进行赋权；赋权后比赋权前准确率平均提高了8.96%，个别准确率提高明显，甚至达到了17.08%，这将会对储层损害快速预测方法的建立起到巨大的推动作用。

关键词: 层次分析法, 权值确定, 特征提取, 敏感性预测, 模式识别

Abstract:

The rapid prediction model of reservoir damage can timely and accurately provide potential types and extents of damaged reservoirs, which can give better service to reservoir protection. However, there are too many factors that cause reservoir damage, and what role each factor individually plays is important and difficult to be predicted. In the past, the naked power or consulting experts were commonly trusted in establishing a model to predict reservoir damage, however, the former is apt to ignore the fact that each characteristic plays different roles in causing damage to reservoirs while the latter often suffers from overreliance on experts’ subjective judgments and experience that are sometimes unreliable. The analytical hierarchy process (AHP) can transform the overall judgment on multi-element weights that constitute a complicated problem into a pairwise comparison between these elements, then sort, judge and finally determine the overall weight of each element. The present paper took water sensitivity as an example to evaluate the weight of influential factors by means of the AHP and used the pattern recognition to test the influence of factor weighting on accuracy. The result showed that the AHP could connect subjective judgments with objective reasoning closely, the weight of each damage factor could be determined more reasonably, and the individual accuracy rate could be elevated by 8.96% or even 17.08% after weighting, which, therefore, would play a huge boosting role in establishing a rapid forecast method to predict reservoir damage.

Key words: analytical hierarchy process (AHP), weight determination, feature extraction, sensitivity prediction, pattern recognition

蒋官澄吴雄军王晓军张卫行李洋洋王金树. 确定储层损害预测评价指标权值的层次分析法[J]. 石油学报, 2011, 32(6): 1037-1041.

JIANG Guancheng WU Xiongjun WANG Xiaojun ZHANG Weihang LI Yangyang. Application of the analytical hierarchy process to determining evaluation index weights for the prediction of reservoir damage[J]. Editorial office of ACTA PETROLEI SINICA, 2011, 32(6): 1037-1041.

参考文献

[1]余东亮，张来斌，梁伟，等．长输管道信号降噪及工况识别方法研究[J]．石油学报，2009，30(6)：937-941．

Yu Dongliang,Zhang Laibin,Liang Wei,et al.Noise reduction of signal and condition recognition of long-distance pipeline[J].Acta Petrolei Sinica,2009,30(6):937-941.

[2]Burak S,Tayyar S,Kilic S E.AHP model for the selection of partner companies in virtual enterprises[J].The International Journal of Advanced Manufacturing Technology,2008,38(3/4):367-376.

[3]彭婷，姜佩华．层次分析法在环境绩效评估中的应用[J]．能源与环境，2007 (1)：13-14．

Peng Ting,Jiang Peihua.The application of AHP in the evaluation of environmental performance[J].Energy and Environment,2007(1):13-14.

[4]Ayag Z,Ozdemir R G.A fuzzy AHP approach to evaluating machine tool alternatives[J].Journal of Intelligent Manufacturing,2006,17(2):179-190.

[5]曾任仁，郑智龙．用层次分析法确定工业设计评价指标、要素的权值模型研究[J]．工程图学学报，2000 (2)：96-100．

Zeng Renren,Zheng Zhilong.A study on determining the model of evaluating indexes and weight value of essential factors of industry design by applying the AHP method[J].Journal of Engineering and Graphics,2000(2):96-100.

[6]毕雪亮，阎铁，张书瑞．钻头优选的属性层次模型及应用[J]．石油学报，2001，22(6)：82-85．

Bi Xueliang,Yan Tie,Zhang Shurui.Attribute hierarchical model for bit optimization and its application[J].Acta Petrolei Sinica,2001,22(6):82-85.

[7]朱茵，孟志勇，阚叔愚．用层次分析法计算权重[J]．北方交通大学学报，1999，23(5)：119-122．

Zhu Yin,Meng Zhiyong,Kan Shuyu.Determination of weight value by AHP[J].Journal of Northern Jiaotong University,1999,23(5):119-122.

[8]陈东彦，李冬梅，王树忠．数学建模[M]．北京：科学出版社，2007：184-188． 

Chen Dongyan,Li Dongmei,Wang Shuzhong.Mathematical modeling[M].Beijing:Science Press,2007:184-188.

[9]李琪．人工智能与油气储集层保护[M]．北京：石油工业出版社，1998：56-61．

Li Qi.Artificial intelligence and the protection of oil and gas reservoir[M].Beijing:Petroleum Industry Press,1998:56-61.

[10]朱玉双，曲志浩，蔺方晓，等．油层受水敏伤害时水驱油渗流特征[J]．石油学报，2004，25(2)：59-64．

Zhu Yushuang,Qu Zhihao,Lin Fangxiao,et al.Seepage flow characters of oil displacement with water drive in water-sensitive formation of Mubo Yan10 reservoir[J].Acta Petrolei Sinica,2004,25(2):59-64.

[11]汪伟英，唐周怀，吕迎红，等．储层岩石水敏性影响因素研究[J]．江汉石油学院学报，2001，23(2)：49-51．

Wang Weiying,Tang Zhouhuai,Lü Yinghong,et al.Influencing factors of water sensitivity in reservoir rock[J].Journal of Jianghan Petroleum Institute,2001,23(2):49-51.

[12]Yukihiro K,Asako I,Toshihiro Y.Water-sensitive low-frequency vibrations of reaction intermediates during s-state cycling in photosynthetic water oxidation[J].Biochemistry,2005,44(21),7613-7622.

[13]张宇，靳世久，何静菁，等．基于动态压力信号的管道泄漏特征提取方法研究[J]．石油学报，2010，31(2)：338-342．

Zhang Yu,Jin Shijiu,He Jingjing,et al.Extraction method for pipeline leakage feature based on dynamic pressure signal[J].Acta Petrolei Sinica,2010,31(2):338-342.

[14]朱顺泉．基于熵值法与理想点法的上市公司财务状况分析的实证研究[J]．统计与信息论坛，2004，19(2)：47-50．

Zhu Shunquan.A positive study on the financial position of listed enterprises based on entropy and ideal point methods[J].Statistics & Information Forum,2004,19(2):47-50.

[15]姜志翔，马才学．基于熵值法的城市土地集约利用评价研究[J]．农村经济与科技，2009，20(5)：55-56．

Jiang Zhixiang,Ma Caixue.The evaluation about urban land intensive use based on entropy value[J].Rural Economy and Science-Technology,2009,20(5):55-56.

[16]伊俊敏，刘瑞柏．基于熵值法的供应商评价模型研究[J]．物流技术，2009，28(3)：83-84．

Yi Junmin,Liu Ruibai.Research on supplier evaluation model based on entropy value[J].Logistics Technology,2009,28(3):83-84.

[17]谢平，杜义浩．基于信息熵的转子动力特征分析与诊断方法研究[J]．振动与冲击，2009，28 (2)：77-81．

Xie Ping,Du Yihao.Rotor dynamic feature analysis and diagnosis method based on information entropy[J].Journal of Vibration and Shock,2009,28(2):77-81.

[18]王欣，杨贤友．影响敏感性储层主要因素的确定[J]．钻井液与完井液，1998，15(6)：7-10．

Wang Xin,Yang Xianyou.Determination of the main factors affecting the sensitive reservoir[J].Drilling and Completion Fluid,1998,15(6):7-10.

[19]彭春耀，鄢捷年．人工神经网络在储层敏感性预测中的应用[J]．石油钻探技术，1997，25(4)：16-18．

Peng Chunyao,Yan Jienian.Applications of artifical neural network in predicting formation sensitivity[J].Oil Drilling Technology, 1997,25(4):16-18.

[20]蒋官澄，王晓军，吴雄军，等．模式识别在储层敏感性预测中的应用[J]．油气地质与采收率，2010，17(5)：61-64．

Jiang Guancheng,Wang Xiaojun,Wu Xiongjun,et al.Application of pattern recognition in the prediction of reservoir sensitivity[J].Petroleum Geology and Recovery Efficiency,2010,17(5):61-64.

确定储层损害预测评价指标权值的层次分析法

Application of the analytical hierarchy process to determining evaluation index weights for the prediction of reservoir damage

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