Citation: | LIN Jingqi, MENG Xin, LI Qingqing, CAO Zhifeng, ZHANG Kai, MU Li. Characterization Method and Application of Electrical Imaging Logging in Conglomerate Reservoir: A Case Study in Mahu Sag of Junggar Basin[J]. Petroleum Drilling Techniques, 2022, 50(2): 126-131. DOI: 10.11911/syztjs.2022059 |
[1] |
袁阳,侯国强,马涛涛,等. 一种基于测井电成像图像的砂砾岩岩性自动识别方法[J]. 测控技术,2021,40(7):30–35.
YUAN Yang, HOU Guoqiang, MA Taotao, et al. An automatic lithology recognition method of sand conglomerate based on electric imaging logging[J]. Measurement & Control Technology, 2021, 40(7): 30–35.
|
[2] |
蔺建华,何雪莹,董丽新. 致密砂砾岩储层岩性识别技术应用[J]. 石油管材与仪器,2021,7(4):80–83.
LIN Jianhua, HE Xueying, DONG Lixin. The application of the complex lithology identification technology on tight glutenite formation[J]. Petroleum Tubular Goods & Instruments, 2021, 7(4): 80–83.
|
[3] |
罗兴平,庞旭,苏东旭,等. 电成像测井在复杂砂砾岩储集层岩性识别中的应用:以准噶尔盆地玛湖凹陷西斜坡百口泉组为例[J]. 新疆石油地质,2018,39(3):345–351.
LUO Xingping, PANG Xu, SU Dongxu, et al. Recognition of complicated sandy conglomerate reservoir based on micro-resistivity imaging logging: a case study of Baikouquan Formation in western slope of Mahu Sag, Junggar Basin[J]. Xinjiang Petroleum Geology, 2018, 39(3): 345–351.
|
[4] |
李茂兵. 电成像测井自动识别和定量评价研究[D]. 青岛: 中国石油大学(华东), 2010.
LI Maobing. Automatic recognition and quantitative evaluation study on electric image logging[D]. Qingdao: China University of Petroleum(East China), 2010.
|
[5] |
张涛. BP神经网络在测井解释中的应用研究[D]. 西安: 西北大学, 2010.
ZHANG Tao. Application of BP neural network in logging interpretation[D]. Xi’an: Northwest University, 2010.
|
[6] |
孙健,周魁,冉小丰,等. Bayes判别分析方法在岩性识别中的应用[J]. 石油天然气学报,2009,31(2):74–77. doi: 10.3969/j.issn.1000-9752.2009.02.017
SUN Jian, ZHOU Kui, RAN Xiaofeng, et al. Bayes discriminant analysis method in lithology recognition[J]. Journal of Oil and Gas Technology, 2009, 31(2): 74–77. doi: 10.3969/j.issn.1000-9752.2009.02.017
|
[7] |
寻知锋,余继峰. 聚类和判别分析在测井岩性识别中的应用[J]. 山东科技大学学报(自然科学版),2008,27(5):10–13.
XUN Zhifeng, YU Jifeng. The application of cluster and discriminant analyses in logging lithology recognition[J]. Journal of Shandong University of Science and Technology (Natural Science), 2008, 27(5): 10–13.
|
[8] |
张治国. 人工神经网络及其在地学中的应用研究[D]. 长春: 吉林大学, 2006.
ZHANG Zhiguo. Study on artificial neural networks and their applications in geoscience[D]. Changchun: Jilin University, 2006.
|
[9] |
李灿元. 成像测井的图像自适应识别方法[D]. 哈尔滨: 哈尔滨工业大学, 2003.
LI Canyuan. An adaptive image recognition method for imaging logging[D]. Harbin: Harbin Institute of Technology, 2003.
|
[10] |
庄东志,周凤鸣,司兆伟,等. 南堡5号构造深层火山岩岩性测井识别技术[J]. 断块油气田,2011,18(6):743–745.
ZHUANG Dongzhi, ZHOU Fengming, SI Zhaowei, et al. Logging identification of deep volcanic lithology in No.5 structure of Nanpu Sag [J]. Fault-Block Oil & Gas Field, 2011, 18(6): 743–745.
|
[11] |
周云才, 刘瑞林. 图像识别方法在FMI图像处理中的应用[J]. 江汉石油学院学报, 2003, 25(增刊1): 50–51.
ZHOU Yuncai, LIU Ruilin. Application of image recognition for FMI image processing[J]. Journal of Jianghan Petroleum Institute, 2003, 25(supplement 1): 50–51.
|
[12] |
周萍. 王府断陷火石岭组火山岩岩性及岩相识别[J]. 断块油气田,2020,27(2):188–192.
ZHOU Ping. Identification of volcanics reservoir lithology and lithofacies in Huoshiling Formation of Wangfu Fault Depression [J]. Fault-Block Oil & Gas Field, 2020, 27(2): 188–192.
|
[13] |
AKBAR M, CHAKRAVORTY S, RUSSELL S D, et al. Unconventional approach to resolving primary and secondary porosity in gulf carbonates from conventional logs and borehole images[R]. SPE 87297, 2000.
|
[14] |
刘丹,潘保芝,房春慧,等. 利用成像测井评价储层孔隙空间的二维非均质性[J]. 世界地质,2014,33(3):640–646. doi: 10.3969/j.issn.1004-5589.2014.03.015
LIU Dan, PAN Baozhi, FANG Chunhui, et al. Evaluation of 2D heterogeneity of reservoir’s pore space based on imaging logging[J]. Global Geology, 2014, 33(3): 640–646. doi: 10.3969/j.issn.1004-5589.2014.03.015
|
[15] |
侯振学,于雪娴,李东旭,等. 电成像测井处理新技术在储层评价方面的应用[J]. 地球物理学进展,2020,35(2):573–578. doi: 10.6038/pg2020DD0047
HOU Zhenxue, YU Xuexian, LI Dongxu, et al. Application of new processing technology of electrical imaging logging in reservoir evaluation[J]. Progress in Geophysics, 2020, 35(2): 573–578. doi: 10.6038/pg2020DD0047
|
[16] |
梁劳劳. 致密砂岩储层裂缝最优识别方法及软件开发[D]. 成都: 成都理工大学, 2012.
LIANG Laolao. Optimal identification method and software development of cracks in tight sandstone reservoir[D]. Chengdu: Chengdu University of Technology, 2012.
|
[17] |
赫志兵. 辽河坳陷兴马潜山储层测井解释方法研究[D]. 北京: 中国地质大学(北京), 2012.
HE Zhibing. Logging interpretation method of Xing-Ma buried hill reservoir in Liaohe Depression[D]. Beijing: China University of Geosciences(Beijing), 2012.
|
[18] |
吴斌,唐洪,王素荣,等. 利用蚁群算法识别及预测碳酸盐岩裂缝的方法探讨[J]. 重庆大学学报(自然科学版),2012,35(9):131–138.
WU Bin, TANG Hong, WANG Surong, et al. Recognition and prediction colony algorithm analysis of fracture by using ant in carbonate reservoir[J]. Journal of Chongqing University(Natural Science Edition), 2012, 35(9): 131–138.
|
[19] |
石广仁. 支持向量机在裂缝预测及含气性评价应用中的优越性[J]. 石油勘探与开发,2008,35(5):588–594. doi: 10.3321/j.issn:1000-0747.2008.05.010
SHI Guangren. Superiorities of support vector machine in fracture prediction and gassiness evaluation[J]. Petroleum Exploration and Development, 2008, 35(5): 588–594. doi: 10.3321/j.issn:1000-0747.2008.05.010
|
[20] |
刘伟,张晋言,张文姣,等. 基于电成像测井资料的砂砾岩储层有效性分类评价方法[J]. 石油钻探技术,2016,44(4):114–119.
LIU Wei, ZHANG Jinyan, ZHANG Wenjiao, et al. An evaluation method for glutenite reservoir effectiveness classification based on electrical imaging logging data[J]. Petroleum Drilling Techniques, 2016, 44(4): 114–119.
|
[21] |
LAI Jin, PANG Xiaojiao, XIAO Qiyao, et al. Prediction of reservoir quality in carbonates via porosity spectrum from image logs[J]. Journal of Petroleum Science and Engineering, 2019, 173: 197–208. doi: 10.1016/j.petrol.2018.10.022
|
[22] |
李宁,肖承文,伍丽红,等. 复杂碳酸盐岩储层测井评价:中国的创新与发展[J]. 测井技术,2014,38(1):1–10.
LI Ning, XIAO Chengwen, WU Lihong, et al. The innovation and development of log evaluation for complex carbonate reservoir in China[J]. Well Logging Technology, 2014, 38(1): 1–10.
|
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