突变理论在煤层气储层评价中的应用——以准噶尔盆地砂沟井田为例
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
煤层气储层评价的方法较多,但将突变理论应用于该类储层的评价则少见。为此,在分析突变理论原理的基础上,综合考虑A(资源特征)、B(开采性能)、C(煤层特征)、D(构造特征)等因素,根据层次分析法原理,建立由目标层、准则层和指标层组成的煤层气储层评价多层次结构,确定了煤层气储层评价突变模型。其中指标层A1(含气量)、A2(资源丰度)、A3(含气饱和度)构成燕尾突变模型;B1(储层渗透率)、B2(储层压力)、B3(顶板孔隙度)、B4(底板孔隙度)构成蝴蝶突变模型;C1(煤层厚度)、C2(煤级)、C3(灰分)构成燕尾突变模型;D1(构造特征)、D2(水文特征)构成尖点突变模型;准则层A、B、C、D构成蝴蝶突变模型。运用突变理论对新疆准噶尔盆地南部煤田砂沟井田煤层气储层进行了评价,得出砂沟井田煤层气储层中下侏罗统八道湾组(J1b)第5号煤层最有利,然后依次为第6、8、9、19号煤层。突变理论模型与模糊综合评判结果一致,该方法减少了以往评价模型中人为主观因素,评价方法更简单,评价结果更可靠,为煤层气储层评价提供了一条新途径。
There are many methods for CBM gas reservoir evaluation,but the catastrophe theory is rarely used in such methods.Based on an analysis of the principles of the catastrophe theory,a multi-level hierarchy is established consisting of a target layer,a criteria layer and an index layer for the evaluation of CBM reservoirs by comprehensively considering A(resource characteristics),B(exploitation performance),C(reservoir characteristics),D(structural features).A catastrophe model was built for CBM reservoir evaluation.The index layers A1(gas content),A2(resource abundance) and A3(gas saturation) constitute a swallow tail catastrophe model;B1(reservoir permeability),B2(reservoir pressure),B3(porosity of the coal seam roof) and B4(porosity of the coal seam floor) constitute a butterfly catastrophe model;C1(coal seamthickness),C2(coal rank) and C3(ash content) constitute a swallow tail catastrophe model;D1(structural feature) and D2(hydrology characteristic) constitute a cusp catastrophic model.The criterion layers of A,B,C and D constitute a butterfly catastrophe model.The CBM reservoirs in the Shagou Coalfield of the Zhunnan mining area,southern Junggar Basin,were evaluated by using the catastrophe theory.It is believed that the coal seam M5 in the Middle-Lower Jurassic Badaowan Fm is the most favorable CBM reservoir,followed by coal seams M6,M8,M9 and M19.The results are in good agreement with that obtained by using the fuzzy mathematic method.Compared with other CBM gas reservoir evaluation methods,this method is much simpler and more reliable and can also minimize the influences of subjective factors.
引文
[1]王勃,孙粉锦,李贵中,等.基于模糊物元的煤层气高产富集区预测——以沁水盆地为例[J].天然气工业,2010,30(11):22-25.WANG Bo,SUN Fenjin,LI Guizhong,et al.Prediction ofprolific CBM zones with the fuzzy matter element method:A case study of the Qinshui Basin[J].Natural Gas Indus-try,2010,30(11):22-25.
    [2]杨欣超,桑树勋,方良才,等.灰色关联分析在煤层气储层评价中的应用[J].西安科技大学学报,2010,30(2):202-206.YANG Xinchao,SANG Shuxun,FANG Liangcai,et al.Ap-plication of grey relational analysis to evaluation of coalbedmethane reservoir[J].Journal of Xi′an University of Sci-ence and Technology,2010,30(2):202-206.
    [3]雷能忠.基于RBF神经网络的煤储层随机建模[J].煤炭学报,2012,37(7):1144-1149.LEI Nengzhong.Stochastic simulation of coalbed methanereservoir by radial basis function neural network[J].Jour-nal of China Coal Society,2012,37(7):1144-1149.
    [4]张松航,汤达祯,唐书恒,等.鄂尔多斯盆地东缘煤层气储集与产出条件[J].煤炭学报,2009,34(10):1297-1304.ZHANG Songhang,TANG Dazhen,TANG Shuheng,et al.Preservation and deliverability characteristics of coalbedmethane in east margin of Ordos Basin[J].Journal of ChinaCoal Society,2009,34(10):1297-1304.
    [5]邵龙义,文怀军,李永红,等.青海省天俊县木里煤田煤层气有利区块的多层次模糊数学评价[J].地质通报,2011,30(12):1896-1903.SHAO Longyi,WEN Huaijun,LI Yonghong,et al.Assess-ment of favorable areas for coalbed methane resources ex-ploration in the Muli Coalfield of Qinghai Province based onmulti-layered fuzzy mathematics[J].Geological Bulletin ofChina,2011,30(12):1896-1903.
    [6]凌复华.突变理论及应用[M].上海:上海交通大学出版社,1987.LING Fuhua.The theory and application of catastrophetheory[M].Shanghai:Shanghai Jiaotong University Press,1987.
    [7]李绍飞,孙书洪,王向余.突变理论在海河流域地下水环境风险评价中的应用[J].水利学报,2007,38(11):1312-1317.LI Shaofei,SUN Shuhong,WANG Xiangyu.Application ofcatastrophe theory to risk assessment of groundwater envi-ronment for river basin[J].Journal of Hydraulic Engineer-ing,2007,38(11):1312-1317.
    [8]都兴富.突变理论在经济领域的应用(下册)[M].成都:电子科技大学出版社,1994.DOU Xingfu.The application of catastrophe theory in eco-nomic field(Vol.Ⅱ)[M].Chengdu:University of Electron-ic Science&Technology Press,1994.
    [9]戴勇,李正文,吴大奎.突变论在地震资料储层预测中的应用[J].天然气工业,2006,26(6):47-49.DAI Yong,LI Zhengwen,WU Dakui.Application of cata-strophic theory to seismic reservoir prediction[J].NaturalGas Indusrty,2006,26(6):47-49.
    [10]何沙,吉安民,杨喆,等.安全流变—突变模型在井喷事故中的应用分析[J].天然气工业,2011,31(4):109-112.HE Sha,JI Anmin,YANG Zhe,et al.Application of SafetyRheology-Mutation Models in well blowout accidents[J].Natural Gas Indusrty,2011,31(4):109-112.
    [11]冯润民.大学生群体行为突变机理分析及对策研究[J].北京交通大学学报:社会科学版.2010,9(2):110-114.FENG Runmin.An analysis on the revulsion mechanismof students’collective behaviors and their countermeas-ures[J].Journal of Beijing Jiaotong University:Social Sci-ences Edition,2010,9(2):110-114.
    [12]赵焕臣,许树柏,和金生.层次分析法——一种简易的新决策方法[M].北京:科学出版社,1986.ZHAO Huanchen,XU Shubai,HE Jinsheng.Stratificationanalysis method-a new simple decision making method[M].Beijing:Science and Technology Press,1986.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心