留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于综合权重法的页岩气储量评价方法探讨

张玲 魏绍蕾 黄学斌 李军

张玲, 魏绍蕾, 黄学斌, 李军. 基于综合权重法的页岩气储量评价方法探讨[J]. 石油实验地质, 2017, 39(5): 694-699. doi: 10.11781/sysydz201705694
引用本文: 张玲, 魏绍蕾, 黄学斌, 李军. 基于综合权重法的页岩气储量评价方法探讨[J]. 石油实验地质, 2017, 39(5): 694-699. doi: 10.11781/sysydz201705694
Zhang Ling, Wei Shaolei, Huang Xuebing, Li Jun. Shale gas reserve quality evaluation based on a comprehensive weighting method[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2017, 39(5): 694-699. doi: 10.11781/sysydz201705694
Citation: Zhang Ling, Wei Shaolei, Huang Xuebing, Li Jun. Shale gas reserve quality evaluation based on a comprehensive weighting method[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2017, 39(5): 694-699. doi: 10.11781/sysydz201705694

基于综合权重法的页岩气储量评价方法探讨

doi: 10.11781/sysydz201705694
基金项目: 中国石化科技部项目“页岩气储量计算与评价方法研究”(P15110);国家科技重大专项“大型油气田及煤层气开发”(2016ZX05060)联合资助。
详细信息
    作者简介:

    张玲(1962—),女,硕士,教授级高级工程师,从事储量计算评价与管理.E-mail:Zhangling.syky@sinopec.com.

  • 中图分类号: TE155

Shale gas reserve quality evaluation based on a comprehensive weighting method

  • 摘要: 针对页岩气地质特征和开采技术的特殊性,提出一种基于综合权重法的评价方法。通过综合考虑影响页岩气开发效果的各种因素,构建了页岩气储量综合评价指标体系;分别利用层次分析法和最大熵值法,求取主观权重和客观权重系数,综合主/客观权重的影响确定综合指标权重系数,结合储量级别与所掌握资料的可靠性分析,进而确定考虑风险的储量综合评价值。利用该方法对7个页岩气储量区块进行综合评价,给出储量品质的差异以及储量的升级动用排序。研究结果表明,对页岩气储量进行评价时,应综合考虑影响页岩气地质、开发、经济等多种因素,并且通过引入风险系数,确保评估结果更为合理,可为页岩气储量区块优选提供决策建议。

     

  • [1] 郭少斌,黄磊.页岩气储层含气性影响因素及储层评价:以上扬子古生界页岩气储层为例[J].石油实验地质,2013,35(6):601-606. Guo Shaobin,Huang Lei.Gas-bearing influential factors and evaluation of shale gas reservoir:A case study of Paleozoic shale gas reservoir in Upper Yangtze region[J].Petroleum Geology & Experiment,2013,35(6):601-606.
    [2] 张玲,李军,卢泉杰,等.概率统计法在页岩气储量静态评估中的应用[J].石油实验地质,2016,38(1):141-146. Zhang Ling,Li Jun,Lu Quanjie,et al.Probabilistic method applied to the static evaluation of shale gas reserves[J].Petroleum Geology & Experiment,2016,38(1):141-146.
    [3] 中华人民共和国国土资源部.DZ/T 0254-2014 页岩气资源/储量计算与评价技术规范[S].北京:中国标准出版社,2014. Ministry of Land and Resources of the People's Republic of China.DZ/T 0254-2014 Regulation of shale gas resources/reserves estimation[S].Beijing:Standards Press of China,2014.
    [4] Mallick M,Achalpurkar M P.Factors controlling shale gas production:Geological perspective[C]//Abu Dhabi international petroleum exhibition and conference.AbuDhabi,UAE:Society of Petroleum Engineers,2014.
    [5] Wang Hanyi.What factors control shale gas production decline trend:A comprehensive analysis and investigation[C]//SPE/IAEE hydrocarbon economics and evaluation symposium.Houston,Texas,USA:Society of Petroleum Engineers,2016.
    [6] Sun Hao,Chawathe A,Hoteit H,et al.Understanding shale gas production mechanisms through reservoir simulation[C]//SPE/EAGE European unconventional resources conference and exhibition.Vienna,Austria:Society of Petroleum Engineers,2014.
    [7] Glorioso J C,Rattia A J.Unconventional reservoirs:Basic petrophysical concepts for shale gas[C]//SPE/EAGE European unconventional resources conference and exhibition.Vienna,Austria:Society of Petroleum Engineers,2012:S280.
    [8] Williams-Kovacs J,Clarkson C R.Using stochastic simulation to quantify risk and uncertainty in shale gas prospecting and development[C]//Canadian unconventional resources conference.Calgary,Alberta,Canada:Society of Petroleum Engineers,2011.
    [9] Yu Wei,Tan Xiaosi,Zuo Lihua,et al.A new probabilistic approach for uncertainty quantification in well performance of shale gas reservoirs[J].SPE Journal,2016,21(6):2038-2048.
    [10] Wright J D.Economic evaluation of shale gas reservoirs[C]//SPE shale gas production conference.Fort Worth,Texas,USA:Society of Petroleum Engineers,2008.
    [11] Gray W M,Hoefer T A,Chiappe A,et al.A probabilistic approach to shale gas economics[C]//Hydrocarbon economics and evaluation symposium.Dallas,Texas,USA:Society of Petroleum Engineers,2007.
    [12] 赵启双.辽河油区难采储量综合评价[D].北京:中国地质大学(北京),2003. Zhao Qishuang.Integrative evaluation of hard-to-recover reserves in Liaohe oil province[D].Beijing:China University of Geosciences(Beijing),2003.
    [13] 陈仁保,师俊峰.神经网络系统在稠油区块优先动用排序中的应用[J].大庆石油地质与开发,2007,26(5):78-80. Chen Renbao,Shi Junfeng.Application of neural network system to ordering of development sequence for heavy oil blocks[J].Petroleum Geology & Oilfield Development in Daqing,2007,26(5):78-80.
    [14] 刘永爱,董鸣皋.基于多属性决策的未动用油气储量评价方法研究[J].统计与信息论坛,2010,25(9):63-68. Liu Yong'ai,Dong Minggao.Evaluation of undeveloped oil & gas reserves based on multi-attribute decision-making[J].Statistics & Information Forum,2010,25(9):63-68.
    [15] 张为民,薛培华.探明未开发储量的灰色评价方法[J].石油学报,1999,20(4):29-33. Zhang Weimin,Xue Peihua.Gray estimate method for the proved non-predicting reserve evaluation[J].Acta Petrolei Sinica,1999,20(4):29-33.
    [16] 郑得文.煤层气资源储量评估方法与理论研究[D].杭州:浙江大学,2007. Zheng Dewen.The research on the methods and theories of estimation for coal gas resources and reserves[D].Hangzhou:Zhejiang University,2007.
    [17] 黄学斌,魏萍,郭鸣黎,等.SEC储量成本指标计算方法探讨[J].石油实验地质,2014,36(4):506-510. Huang Xuebin,Wei Ping,Guo Mingli,et al.Discussion of cost index calculation method on SEC reserves[J].Petroleum Geo-logy & Experiment,2014,36(4):506-510.
    [18] 魏萍,张玲,翟中喜,等.SEC石油储量替代率预测方法探讨[J].石油实验地质,2013,35(6):702-706. Wei Ping,Zhang Ling,Zhai Zhongxi,et al.Forecasting methods of SEC reserves replacement rate[J].Petroleum Geology & Experiment,2013,35(6):702-706.
  • 加载中
计量
  • 文章访问数:  994
  • HTML全文浏览量:  89
  • PDF下载量:  153
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-05-04
  • 修回日期:  2017-07-17
  • 刊出日期:  2017-09-28

目录

    /

    返回文章
    返回