龙马溪低电阻率页岩含气饱和度计算研究
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摘要
A井龙马溪-五峰组岩气层段电阻率值相对较低,较低的电阻率往往会导致利用电法测井信息的Archie等公式计算获得的含气饱和度远远低于实验分析值。为提高页岩气层关键参数的计算精度,开展了利用非电法测井信息计算含气饱和度的3种方法研究:中子密度交会法计算含气饱和度、总有机碳含量经验模型法计算含气饱和度、元素测井体积组分法计算含气饱和度,并进行比较分析,其中元素测井体积组分法效果最佳,其他2种方法视测井资料条件也能满足计算精度要求。
The resistivity of shale gas reservoir in Longmaxi-Wufeng Formation of Well A is relatively low. Lower resistivity often results in gas saturation calculated by Archie formula far lower than the core analysis value. To improve the calculation accuracy of key parameters of shale gas reservoir, the methods of calculating gas saturation using non-electric logging information were studied in this paper, and three methods were obtained; neutron-density intersection method, TOC empirical model method and elemental logging volume component method. In addition, the effect of three methods were also compared and analyzed. Among them, the volume component method of elemental logging is the best one, and the other two methods can also meet the requirements of calculation accuracy in terms of logging data conditions.
The resistivity of shale gas reservoir in Longmaxi-Wufeng Formation of Well A is relatively low. Lower resistivity often results in gas saturation calculated by Archie formula far lower than the core analysis value. To improve the calculation accuracy of key parameters of shale gas reservoir, the methods of calculating gas saturation using non-electric logging information were studied in this paper, and three methods were obtained; neutron-density intersection method, TOC empirical model method and elemental logging volume component method. In addition, the effect of three methods were also compared and analyzed. Among them, the volume component method of elemental logging is the best one, and the other two methods can also meet the requirements of calculation accuracy in terms of logging data conditions.
引文
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[4] ANAND V,ALI M R,AL-ADANI N,et al.New generation NMR tool for robust,continuous T1 and T2 measurements [C]//SPWLA 56th Annual Logging Symposium,2015.
[5] 张建平,冯爱国,石元会,等.基于TOC的页岩储层含气饱和度确定方法:201410122338.4 [P].2014-03-31[2019-02-02].
[6] 石文睿,张超谟,张占松,等.涪陵页岩气田焦石坝页岩气储层含气量测井评价 [J].测井技术,2015,39(3):357-362.
[7] 王迪,戚家振,陈现,等.东海N气田低阻气层成因分析及饱和度定量评价 [J].复杂油气藏,2017,10(4):7-13.
[8] 杨小兵,杨争发,谢冰,等.页岩气储层测井解释评价技术 [J].天然气工业,2012,32(9):33-36,128-129.
[9] 赵军龙,李甘,朱广社,等.低阻油层成因机理及测井评价方法综述 [J].地球物理学进展,2011,26(4):1334-1342.
[10] 龙鹏宇,张金川,姜文利,等.渝页1井储层孔隙发育特征及其影响因素分析 [J].中南大学学报(自然科学版),2012,43(10):3954-3963.
[11] 王辉.姬塬地区高束缚水成因低阻油层测井识别方法研究 [D].北京:中国地质大学(北京),2005.
[12] 马晓丽.低阻油层成因分析及识别方法 [J].云南化工,2018,45(9):185-186.
[13] 翟利华,林艳波,秦智,等.鄂尔多斯盆地姬塬地区延长组长4+5低阻油层成因及识别方法 [J].油气地质与采收率,2018,25(2):50-57.
[14] 王道富,王玉满,董大忠,等.川南下寒武统筇竹寺组页岩储集空间定量表征 [J].天然气工业,2013,33(7):1-10.
[15] CLUFF B,MILLER M.Log evaluation of gas shales:a 35-year perspective [C]//SPWLA 52nd Annual Logging Symposium,2011.
[16] 梅珏,邹辰,袁渊,等.岩性扫描测井技术在浙江油田的应用 [J].内蒙古石油化工,2015,41(20):98-101.
[17] 戚德虎,康继昌.BP神经网络的设计 [J].计算机工程与设计,1998(2):47-49.
[18] 吴昌友.神经网络的研究及应用 [D].哈尔滨:东北农业大学,2007.
[19] 李晓峰,徐玖平,王荫清,等.BP人工神经网络自适应学习算法的建立及其应用 [J].系统工程理论与实践,2004(5):1-8.