动态图像法与镜下测量法粒度分布结果对比研究
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摘要
动态图像法、镜下测量法在地下沉积岩粒度分析中的应用研究较为薄弱。对塔里木轮南地区X100井三叠系水下分流河道12块砂岩样品分别采用以上两种方法进行粒度测试,将所测得的各组分含量、粒度曲线及粒度参数进行对比分析,并对镜下测量法粒度结果开展校正研究,以使这两种方法在今后能更广泛地运用于粒度分析。研究结果表明:相较于镜下测量法,动态图像法检测粗组分含量偏大而细组分含量偏小,黏土—粉砂组分和中砂组分是两种方法产生差异的分界线。检测颗粒数目的悬殊和岩石类型是两种方法存在差异的主要原因,测试方法的量程、测量原理和颗粒形状也会造成一定的影响。基于岩性的镜下测量法粒度结果校正,使两种方法的细砂—粗砂组分含量、粒径参数的相关系数从0.25～0.80提高到0.88～0.95,达到了校正基本目的,其准确性得到有效的提高。
Compared with traditional grain-size test methods, research on the application of the dynamic image and thin-section measuring methods in underground sedimentary rock grain-size analysis is currently relatively weak. In this paper, taking 12 sandstone samples from Well X100 in the Lunnan area, Tarim basin and from underwater distributary channels of Triassic, we compared and analyzed the results obtained using the dynamic image and thin-section measuring methods. The content of each grain gradation, grain-size curves, and grain-size parameters are included in the testing results. Then calibration research of the testing results obtained from the thin-section measuring method was carried out. This paper aims to make the two methods more widely applicable to grain-size analysis in the future. The research results show that, compared with results obtained from the thin-section measuring method, the content of coarser sand measured using the dynamic image method is higher and that of finer sand is correspondingly smaller. The clay-to-silt content and medium sand content represent the boundary line which differentiates the two methods. The sharp contrast of detecting particle amount and lithologic characteristics are the main reasons for the difference, upon which the measurement range, measurement principle, and particle shape also exert some influence. The calibration method for the thin-section measuring method proposed here is based on rock type and makes the correlation coefficients(R~2) of the testing results(content of fine sand to coarse sand and grain diameters) by the post-calibrated thin-section measuring method with the dynamic image method increase from 0.25-0.80 to 0.88-0.95, achieving the primary purpose of calibration and improving the accuracy of the thin-section measuring method.
Compared with traditional grain-size test methods, research on the application of the dynamic image and thin-section measuring methods in underground sedimentary rock grain-size analysis is currently relatively weak. In this paper, taking 12 sandstone samples from Well X100 in the Lunnan area, Tarim basin and from underwater distributary channels of Triassic, we compared and analyzed the results obtained using the dynamic image and thin-section measuring methods. The content of each grain gradation, grain-size curves, and grain-size parameters are included in the testing results. Then calibration research of the testing results obtained from the thin-section measuring method was carried out. This paper aims to make the two methods more widely applicable to grain-size analysis in the future. The research results show that, compared with results obtained from the thin-section measuring method, the content of coarser sand measured using the dynamic image method is higher and that of finer sand is correspondingly smaller. The clay-to-silt content and medium sand content represent the boundary line which differentiates the two methods. The sharp contrast of detecting particle amount and lithologic characteristics are the main reasons for the difference, upon which the measurement range, measurement principle, and particle shape also exert some influence. The calibration method for the thin-section measuring method proposed here is based on rock type and makes the correlation coefficients(R~2) of the testing results(content of fine sand to coarse sand and grain diameters) by the post-calibrated thin-section measuring method with the dynamic image method increase from 0.25-0.80 to 0.88-0.95, achieving the primary purpose of calibration and improving the accuracy of the thin-section measuring method.
引文
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[3] 王亚,杨少春,路研,等.基于测井岩石物理相识别的低渗透储层评价方法:以东营凹陷高青地区蒙阴组上段为例[J].中国矿业大学学报,2018,47(6):1264-1275.[Wang Ya,Yang Shaochun,Lu Yan,et al.Evaluation method of low permeability reservoirs based on logging petrophysical facies identification:A case study of the upper member of Mengyin Formation in Gaoqing area,Doingying Depression[J].Journal of China University of Mining & Technology,2018,47(6):1264-1275.]
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[7] 操应长,马奔奔,王艳忠,等.东营凹陷盐家地区沙四上亚段近岸水下扇砂砾岩颗粒结构特征[J].天然气地球科学,2014,25(6):793-803.[Cao Yingchang,Ma Benben,Wang Yanzhong,et al.The particle texture characteristics of sandy conglomerate in the nearshore subaqueous fan of upper Es4 in the Yanjia area,Dongying Depression[J].Natural Gas Geoscience,2014,25(6):793-803.]
[8] 程鹏,高抒,李徐生.激光粒度仪测试结果及其与沉降法、筛析法的比较[J].沉积学报,2001,19(3):449-455.[Cheng Peng,Gao Shu,Li Xusheng.Evaluation of a wide range laser particle size analyses and comparison with pipette and sieving methods[J].Acta Sedimentologica Sinica,2001,19(3):449-455.]
[9] 张富元,冯秀丽,章伟艳,等.南海表层沉积物的沉降法和激光法粒度分析结果对比和校正[J].沉积学报,2011,29(4):767-775.[Zhang Fuyuan,Feng Xiuli,Zhang Weiyan,et al.Comparison and calibration of laser grain size analysis with pipette-sieve method:A solution for the underestimation of the clay fraction of surface sediments from the eastern South China Sea[J].Acta Sedimentologica Sinica,2011,29(4):767-775.]
[10] Yu W L,Hancock B C.Evaluation of dynamic image analysis for characterizing pharmaceutical excipient particles[J].International Journal of Pharmaceutics,2008,361(1/2):150-157.
[11] Nalluri V R,Schirg P,Gao X,et al.Different modes of dynamic image analysis in monitoring of pharmaceutical dry milling process[J].International Journal of Pharmaceutics,2010,391(1/2):107-114.
[12] Czajkowska M,Sznitowska M,Kleinebudde P.Determination of coating thickness of minitablets and pellets by dynamic image analysis[J].International Journal of Pharmaceutics,2015,495(1):347-353.
[13] 张燕鸣,杨秀娟,曹志勇,等.动态图像颗粒分析法在豆粕粉碎粒度及粒度分布测定中的应用[J].饲料工业,2016,37(3):5-9.[Zhang Yanming,Yang Xiujuan,Cao Zhiyong,et al.The application of dynamic image analysis in soybean particle size and distribution of measurement[J].Feed Industry,2016,37(3):5-9.]
[14] 李德文,康艳蕊,李大伟.基于动态图像法的河流砂和湖滩砂粒形—粒度特征对比[J].第四纪研究,2015,35(2):484-492.[Li Dewen,Kang Yanrui,Li Dawei.Comparison of grain-size and grain-shape characters of alluvial and lakeshore sands based on dynamic image analysis[J].Quaternary Sciences,2015,35(2):484-492.]
[15] 孙惠凤,曹成林,宋玉鹏.激光粒型分析法在砂质沉积物粒度分析中的应用[J].海洋地质与第四纪地质,2015,35(2):185-192.[Sun Huifeng,Cao Chenglin,Song Yupeng.Application of laser particle size and shape analyzer in testing grain sizes of sandy deposits[J].Marine Geology and Quaternary Geology,2015,35(2):185-192.]
[16] 赵旭锋,贾建军,王欣凯,等.新型动态激光粒度粒形仪分析结果的对比与评价[J].海洋地质与第四纪地质,2015,35(6):175-184.[Zhao Xufeng,Jia Jianjun,Wang Xinkai,et al.Evaluation of a new dynamic laser particle size & shape analyzer and comparison with the sieving and laser diffraction particle size analyzer[J].Marine Geology and Quaternary Geology,2015,35(6):175-184.]
[17] 罗章,蔡斌,陈沈良.动态图像法应用于海滩沉积物粒度粒形测试及其与筛析法的比较[J].沉积学报,2016,34(5):881-891.[Luo Zhang,Cai Bin,Chen Shenliang.Grain size and shape analysis of beach sediment using dynamic image analysis and comparison with sieving method[J].Acta Sedimentologica Sinica,2016,34(5):881-891.]
[18] 罗章,陈沈良,张国安,等.动态图像仪与激光粒度仪的测试对比及其应用[J].海洋技术学报,2017,36(2):46-52.[Luo Zhang,Chen Shenliang,Zhang Guoan,et al.Comparison and application of the dynamic image analyzer with laser particle size analyzer[J].Journal of Ocean Technology,2017,36(2):46-52.]
[19] Tysmans D,Claeys P,Deriemaeker L,et al.Size and shape analysis of sedimentary grains by automated dynamic image analysis[J].Particle & Particle Systems Characterization,2006,23(5):381-387.
[20] Tysmans D,Haesaerts P,Bogemans F,et al.Heterogeneity in homogeneous Brabantian loess during the Late Pleniglacial[J].Quaternary International,2009,198(1/2):195-203.
[21] 云南有色局地质勘探公司生产研究组.砂岩薄片粒度分析研究[J].石油实验地质,1965(4):45-46.[Production research group of Yunnan Nonferrous Metals Geological Exploration Company.Research on grain-size analysis using sandstone thin-sections[J].Petroleum Geology & Experiment,1965(4):45-46.]
[22] 朱莲芳,雷怀彦,师育新.三种粒度分析方法的比较[J].沉积学报,1990,8(2):127-133.[ Zhu Lianfang,Lei Huaiyan,Shi Yuxin.Comparision of three analytical methods of grain grade[J].Acta Sedimentologica Sinica,1990,8(2):127-133.]
[23] Cheng Z X,Liu H J.Digital grain-size analysis based on autocorrelation algorithm[J].Sedimentary Geology,2015,327:21-31.
[24] 张学丰,蔡忠贤,胡文瑄,等.应用Adobe Photoshop定量分析岩石结构[J].沉积学报,2009,27(4):667-673.[Zhang Xuefeng,Cai Zhongxian,Hu Wenxuan,et al.Using Adobe Photoshop to quantify rock textures[J].Acta Sedimentologica Sinica,2009,27(4):667-673.]
[25] 国家能源局.SY/T 5434-2009 碎屑岩粒度分析方法[S].北京:石油工业出版社,2010.[National Energy Administration.SY/T 5434-2009 Analysis method for particle size of clastic rocks[S].Beijing:Petroleum Industry Press,2010.]
[26] 石斌,刘岫峰,张佩聪,等.高纯石英砂粒度分析与粒度评价体系研究[J].矿物岩石,2013,33(1):16-21.[Shi Bin,Liu Xiufeng,Zhang Peicong,et al.Grain-size analysis and grain evaluation system of the super high quartz sand[J].Journal of Mineralogy and Petrology,2013,33(1):16-21.]
[27] 付莉莉,冯秀丽,杨旭辉.沉积物粒度参数和频率曲线对粒级划分的响应[J].中国海洋大学学报,2011,41(9):83-89.[Fu Lili,Feng Xiuli,Yang Xuhui.The responses of grain-size parameters to grade interval[J].Periodical of Ocean University of China,2011,41(9):83-89.]
[2] 冉敬,杜谷,潘忠习.沉积物粒度分析方法的比较[J].岩矿测试,2011,30(6):669-676.[Ran Jing,Du Gu,Pan Zhongxi.Study on methods for particle size analysis of sediment samples[J].Rock and Mineral Analysis,2011,30(6):669-676.]
[3] 王亚,杨少春,路研,等.基于测井岩石物理相识别的低渗透储层评价方法:以东营凹陷高青地区蒙阴组上段为例[J].中国矿业大学学报,2018,47(6):1264-1275.[Wang Ya,Yang Shaochun,Lu Yan,et al.Evaluation method of low permeability reservoirs based on logging petrophysical facies identification:A case study of the upper member of Mengyin Formation in Gaoqing area,Doingying Depression[J].Journal of China University of Mining & Technology,2018,47(6):1264-1275.]
[4] 蔡廷禄,贾建军,汪亚平.河口海岸和近海沉积物的粒度资料同化技术[J].海洋地质与第四纪地质,2014,34(1):185-193.[Cai Tinglu,Jia Jianjun,Wang Yaping.Techniques for particle size data standardization:An example from estuarine and coastal sediments[J].Marine Geology and Quaternary Geology,2014,34(1):185-193.]
[5] 陈秀法,冯秀丽,刘冬雁,等.激光粒度分析与传统粒度分析方法相关对比[J].青岛海洋大学学报,2002,32(4):608-614.[Chen Xiufa,Feng Xiuli,Liu Dongyan,et al.Correlation comparison between laser method and pipette-sieve method of grain size[J].Journal of Ocean University of Qingdao,2002,32(4):608-614.]
[6] 冷伟,范代读.联用筛析法与激光法进行粒度接序分析的界点选择[J].沉积学报,2014,32(3):478-484.[Leng Wei,Fan Daidu.Selecting nodal size for the application of combined using sieving and laser methods in grain-size analysis[J].Acta Sedimentologica Sinica,2014,32(3):478-484.]
[7] 操应长,马奔奔,王艳忠,等.东营凹陷盐家地区沙四上亚段近岸水下扇砂砾岩颗粒结构特征[J].天然气地球科学,2014,25(6):793-803.[Cao Yingchang,Ma Benben,Wang Yanzhong,et al.The particle texture characteristics of sandy conglomerate in the nearshore subaqueous fan of upper Es4 in the Yanjia area,Dongying Depression[J].Natural Gas Geoscience,2014,25(6):793-803.]
[8] 程鹏,高抒,李徐生.激光粒度仪测试结果及其与沉降法、筛析法的比较[J].沉积学报,2001,19(3):449-455.[Cheng Peng,Gao Shu,Li Xusheng.Evaluation of a wide range laser particle size analyses and comparison with pipette and sieving methods[J].Acta Sedimentologica Sinica,2001,19(3):449-455.]
[9] 张富元,冯秀丽,章伟艳,等.南海表层沉积物的沉降法和激光法粒度分析结果对比和校正[J].沉积学报,2011,29(4):767-775.[Zhang Fuyuan,Feng Xiuli,Zhang Weiyan,et al.Comparison and calibration of laser grain size analysis with pipette-sieve method:A solution for the underestimation of the clay fraction of surface sediments from the eastern South China Sea[J].Acta Sedimentologica Sinica,2011,29(4):767-775.]
[10] Yu W L,Hancock B C.Evaluation of dynamic image analysis for characterizing pharmaceutical excipient particles[J].International Journal of Pharmaceutics,2008,361(1/2):150-157.
[11] Nalluri V R,Schirg P,Gao X,et al.Different modes of dynamic image analysis in monitoring of pharmaceutical dry milling process[J].International Journal of Pharmaceutics,2010,391(1/2):107-114.
[12] Czajkowska M,Sznitowska M,Kleinebudde P.Determination of coating thickness of minitablets and pellets by dynamic image analysis[J].International Journal of Pharmaceutics,2015,495(1):347-353.
[13] 张燕鸣,杨秀娟,曹志勇,等.动态图像颗粒分析法在豆粕粉碎粒度及粒度分布测定中的应用[J].饲料工业,2016,37(3):5-9.[Zhang Yanming,Yang Xiujuan,Cao Zhiyong,et al.The application of dynamic image analysis in soybean particle size and distribution of measurement[J].Feed Industry,2016,37(3):5-9.]
[14] 李德文,康艳蕊,李大伟.基于动态图像法的河流砂和湖滩砂粒形—粒度特征对比[J].第四纪研究,2015,35(2):484-492.[Li Dewen,Kang Yanrui,Li Dawei.Comparison of grain-size and grain-shape characters of alluvial and lakeshore sands based on dynamic image analysis[J].Quaternary Sciences,2015,35(2):484-492.]
[15] 孙惠凤,曹成林,宋玉鹏.激光粒型分析法在砂质沉积物粒度分析中的应用[J].海洋地质与第四纪地质,2015,35(2):185-192.[Sun Huifeng,Cao Chenglin,Song Yupeng.Application of laser particle size and shape analyzer in testing grain sizes of sandy deposits[J].Marine Geology and Quaternary Geology,2015,35(2):185-192.]
[16] 赵旭锋,贾建军,王欣凯,等.新型动态激光粒度粒形仪分析结果的对比与评价[J].海洋地质与第四纪地质,2015,35(6):175-184.[Zhao Xufeng,Jia Jianjun,Wang Xinkai,et al.Evaluation of a new dynamic laser particle size & shape analyzer and comparison with the sieving and laser diffraction particle size analyzer[J].Marine Geology and Quaternary Geology,2015,35(6):175-184.]
[17] 罗章,蔡斌,陈沈良.动态图像法应用于海滩沉积物粒度粒形测试及其与筛析法的比较[J].沉积学报,2016,34(5):881-891.[Luo Zhang,Cai Bin,Chen Shenliang.Grain size and shape analysis of beach sediment using dynamic image analysis and comparison with sieving method[J].Acta Sedimentologica Sinica,2016,34(5):881-891.]
[18] 罗章,陈沈良,张国安,等.动态图像仪与激光粒度仪的测试对比及其应用[J].海洋技术学报,2017,36(2):46-52.[Luo Zhang,Chen Shenliang,Zhang Guoan,et al.Comparison and application of the dynamic image analyzer with laser particle size analyzer[J].Journal of Ocean Technology,2017,36(2):46-52.]
[19] Tysmans D,Claeys P,Deriemaeker L,et al.Size and shape analysis of sedimentary grains by automated dynamic image analysis[J].Particle & Particle Systems Characterization,2006,23(5):381-387.
[20] Tysmans D,Haesaerts P,Bogemans F,et al.Heterogeneity in homogeneous Brabantian loess during the Late Pleniglacial[J].Quaternary International,2009,198(1/2):195-203.
[21] 云南有色局地质勘探公司生产研究组.砂岩薄片粒度分析研究[J].石油实验地质,1965(4):45-46.[Production research group of Yunnan Nonferrous Metals Geological Exploration Company.Research on grain-size analysis using sandstone thin-sections[J].Petroleum Geology & Experiment,1965(4):45-46.]
[22] 朱莲芳,雷怀彦,师育新.三种粒度分析方法的比较[J].沉积学报,1990,8(2):127-133.[ Zhu Lianfang,Lei Huaiyan,Shi Yuxin.Comparision of three analytical methods of grain grade[J].Acta Sedimentologica Sinica,1990,8(2):127-133.]
[23] Cheng Z X,Liu H J.Digital grain-size analysis based on autocorrelation algorithm[J].Sedimentary Geology,2015,327:21-31.
[24] 张学丰,蔡忠贤,胡文瑄,等.应用Adobe Photoshop定量分析岩石结构[J].沉积学报,2009,27(4):667-673.[Zhang Xuefeng,Cai Zhongxian,Hu Wenxuan,et al.Using Adobe Photoshop to quantify rock textures[J].Acta Sedimentologica Sinica,2009,27(4):667-673.]
[25] 国家能源局.SY/T 5434-2009 碎屑岩粒度分析方法[S].北京:石油工业出版社,2010.[National Energy Administration.SY/T 5434-2009 Analysis method for particle size of clastic rocks[S].Beijing:Petroleum Industry Press,2010.]
[26] 石斌,刘岫峰,张佩聪,等.高纯石英砂粒度分析与粒度评价体系研究[J].矿物岩石,2013,33(1):16-21.[Shi Bin,Liu Xiufeng,Zhang Peicong,et al.Grain-size analysis and grain evaluation system of the super high quartz sand[J].Journal of Mineralogy and Petrology,2013,33(1):16-21.]
[27] 付莉莉,冯秀丽,杨旭辉.沉积物粒度参数和频率曲线对粒级划分的响应[J].中国海洋大学学报,2011,41(9):83-89.[Fu Lili,Feng Xiuli,Yang Xuhui.The responses of grain-size parameters to grade interval[J].Periodical of Ocean University of China,2011,41(9):83-89.]
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