基于地震纹理属性聚类分析的裂缝分布预测
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摘要
裂缝在地震数据中的特征可视为一种纹理,因此可以使用纹理属性表征裂缝,基于纹理属性聚类分析方法对裂缝发育带进行预测。计算地震数据体不同灰度级和不同三维数据基元大小的体共生矩阵,以此提取多组纹理属性,并进行对比和优选,最后使用模糊C均值聚类法对优选的纹理属性进行分析,根据聚类结果对裂缝的分布范围进行预测。方法减少了人工预测裂缝的主观性,而且从多个方面表征裂缝来提高预测结果的可信度。对野外数据进行分析,其结果表明分析获得的裂缝预测范围与勘探结果具有较高的吻合度。
Fracture can be described as texture feature of seismic data.Therefore,texture attributes of seismic data can be used to identify fracture.Based on the amplitude of the seismic data volume,multi-group texture attributes be extracted with different gray levels and different sizes of three-dimensional data element.The optimum texture attribute is obtained by comparing the features of texture attributes.The fuzzy C-means clustering method is used to analyze the texture attribute,and the clustering result can be used to predict the fracture distribution.The proposed method is more objective and credible compared with manual intervention.The result of practical application shows that the results of fracture prediction are consistent with the exploration results.
Fracture can be described as texture feature of seismic data.Therefore,texture attributes of seismic data can be used to identify fracture.Based on the amplitude of the seismic data volume,multi-group texture attributes be extracted with different gray levels and different sizes of three-dimensional data element.The optimum texture attribute is obtained by comparing the features of texture attributes.The fuzzy C-means clustering method is used to analyze the texture attribute,and the clustering result can be used to predict the fracture distribution.The proposed method is more objective and credible compared with manual intervention.The result of practical application shows that the results of fracture prediction are consistent with the exploration results.
引文
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2孙炜,李玉凤,付建伟,等.测井及地震裂缝识别研究进展.地球物理学进展,2014;29(3):1231-1242Sun Wei,Li Yufeng,Fu Jianwei,et al.Review of fracture identification with well logs and seismic data.Progress in Geophysics,2014;29(3):1231-1242
3曲寿利,季玉新,王鑫.全方位P波属性裂缝检测方法.石油地球物理勘探,2001;36(4):390-397Qu Shouli,Ji Yuxin,Wang Xin.Detection method of omni-directional P-wave attribute.Petroleum Geophysical Prospecting,2001;36(4):390-397
4桂志先,段天友,易远元,等.裂缝性储层纵波地震检测方法研究.石油天然气学报,2007;29(4):75-79Gui Zhixian,Duan Tianyou,Yi Yuanyuan,et al.Study on detecting method of pavement seismic in fractured reservoir.Journal of Oil and Gas Technology,2007;29(4):75-79
5曹彤,王廷斌.基于全方位地震成像与叠前反演裂缝预测技术及应用.科学技术与工程,2016;16(34):170-174Cao Tong,Wang Tingbin.Full azimuth imaging and pre-stack inversion for fractured reservoirs prediction and the application.Science Technology and Engineering,2016;16(34):170-174
6曹彤,王廷斌.改进的方位各向异性地震反演裂缝预测技术及应用.科学技术与工程,2016;16(28):43-48Cao Tong,Wang Tingbin.Improved seismic azimuth anisotropy inversion method and its application in fracture prediction.Science Technology and Engineering,2016;16(28):43-48
7刘松,孙向阳.利用偏移距衰减属性裂缝储层检测方法.成都理工大学学报(自然科学版),2009;36(3):282-286Liu Song,Sun Xiangyang.Detection method of fracture reservoir based on offset weak property.Journal of Chengdu University of Technology(Science&Technology Edition),2009;36(3):282-286
8孙炜,刘学清,贾趵.应力场分析在碳酸盐岩构造裂缝预测中的应用.石油天然气学报,2013;35(1):50-52Sun Wei,Liu Xueqing,Jia Bao.Application of stress field analysis in prediction of structural fracture in carbonate rock.Journal of Oil and Gas Technology,2013;35(1):50-52
9苏朝光,刘传虎,王军,等.相干分析技术在泥岩裂缝油气藏预测中的应用.石油物探,2002;41(2):197-201Su Chaoguang,Liu Chuanhu,Wang Jun,et al.Application of coherent analysis technique in prediction of mudstone fractured oil and gas reservoirs.Geophysical Prospecting for Petroleum,2002;41(2):197-201
10李婷婷,王钊,马世忠,等.地震属性融合方法综述.地球物理学进展,2015;30(1):378-385Li Tingting,Wang Zhao,Ma Shizhong,et al.Summary of seismic attributes fusion method.Progress in Geophysics,2015;30(1):378-385
11夏振宇,汪勇,蔡伟祥,等.变质岩裂缝段地球物理响应特征分析与裂缝预测.科学技术与工程,2015;15(29):7-14Xia Zhenyu,Wang Yong,Cai Weixiang,et al.Fracture prediction and the analysis of metamorphic rock fracture section geophysical response characteristics.Science Technology and Engineering,2015;15(29):7-14
12苟量,彭真明.小波多尺度边缘检测及其在裂缝预测中的应用.石油地球物理勘探,2005;40(3):309-313Gou Liang,Peng Zhenming.Multi-scale edge detection of wavelet and application in fracture prediction.Petroleum Geophysical Prospecting,2005;40(3):309-313
13申辉林,高松洋.基于BP神经网络进行裂缝识别研究.断块油气田,2006;2(4):39-42Shen Huilin,Gao Songyang.Research on fracture identification based on BP neural network.Fault-block Oil&Gas Field,2006;2(4):39-42
14 Smith J R,Chang S F.Automated binary texture feature sets for image retrieval.IEEE International Conference on Acoustics,Speech,and Signal Processing.Atlanta:IEEE Xplore,1996:2239-2242
15 Haralick R M,Shanmugam K.Textural features for image classification.IEEE Transactions on Systems,Man,and Cybernetics,1973;3(6):610-621
16李胜军,高建虎,张军舵,等.体纹理属性提取技术研究及应用.地球物理学进展,2013;28(3):1563-1569Li Shengjun,Gao Jianhu,Zhang Junduo,et al.Volume texture attribute Extraction technology and its application.Progress in Geophysics,2013;28(3):1563-1569
17 Chopra S,Alcxccv V.Applications of texture attribute analysis to3D seismic data.The Leading Edge,2006;25(8):931-940
18胡英,陈辉,贺振华,等.基于地震纹理属性和模糊聚类划分地震相.石油地球物理勘探,2013;48(1):114-120Hu Ying,Chen Hui,He Zhenhua,et al.Seismic fracies classification based on seismic texture attributes and fuzzy clustering.Petroleum Geophysical Prospecting,2013;48(1):114-120
19 Gao D.Volume texture extraction for 3D seismic visualization and interpretation.Geophysics,2003;68(4):1294-1302
20 Gao D.Application of three-dimensional seismic texture analysis with special reference to deep-marine facies discrimination and interpretation:offshore Angola,West Africa.AAPG Bulletin,2007;91(12):1665-1683
21王治国,尹成,雷小兰,等.河道纹理属性分析中的灰度共生矩阵参数研究.石油地球物理勘探,2012;47(1):100-106Wang Zhiguo,Yin Cheng,Lei Xiaolan,et al.GLCM parameters in fluvial texture analysis.Petroleum Geophysical Prospecting,2012;47(1):100-106
22 Dunn J C.A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters.Journal of Cybernetics,1973;3(3):32-57
23 Bezdek J C.Pattern recognition with fuzzy objective function algorithms.New York:Plenum Press,1981
24杨培杰,印兴耀,张广智.模糊C均值地震属性聚类分析.石油地球物理勘探,2007;42(3):322-324Yang Peijie,Yin Xingyao,Zhang Guangzhi.Fuzzy C-means Clustering analysis of seismic attributes.Petroleum Geophysical Prospecting,2007;42(3):322-324
25高新波,李洁,谢维信.模糊C均值聚类算法中参数m的优选.模式识别与人工智能,2000;13(1):7-11Gao Xinbo,Li Jie,Xie Weixin.Optimal choice of weighting exponent in a fuzzy C-means clustering algorithm.Pattern Recognition and Artificial Intelligence,2000;13(1):7-11
26汪勇.裂缝油气藏储层预测方法及应用研究.武汉:中国地质大学,2013Wang Yong.Prediction method and its application of the fractured oil and gas reservoirs.Wuhan:China University of Geosciences,2013
27 Bezdek J C.A convergence theorem for the fuzzy ISODATA clustering algorithms.IEEE Transactions on Pattern Analysis and Machine Intelligence,1980;2(1):1-8
28 Bellman R E,Zadeh L A.Decision-making in a fuzzy environment.Management Science,1970;17(4):141-164
2孙炜,李玉凤,付建伟,等.测井及地震裂缝识别研究进展.地球物理学进展,2014;29(3):1231-1242Sun Wei,Li Yufeng,Fu Jianwei,et al.Review of fracture identification with well logs and seismic data.Progress in Geophysics,2014;29(3):1231-1242
3曲寿利,季玉新,王鑫.全方位P波属性裂缝检测方法.石油地球物理勘探,2001;36(4):390-397Qu Shouli,Ji Yuxin,Wang Xin.Detection method of omni-directional P-wave attribute.Petroleum Geophysical Prospecting,2001;36(4):390-397
4桂志先,段天友,易远元,等.裂缝性储层纵波地震检测方法研究.石油天然气学报,2007;29(4):75-79Gui Zhixian,Duan Tianyou,Yi Yuanyuan,et al.Study on detecting method of pavement seismic in fractured reservoir.Journal of Oil and Gas Technology,2007;29(4):75-79
5曹彤,王廷斌.基于全方位地震成像与叠前反演裂缝预测技术及应用.科学技术与工程,2016;16(34):170-174Cao Tong,Wang Tingbin.Full azimuth imaging and pre-stack inversion for fractured reservoirs prediction and the application.Science Technology and Engineering,2016;16(34):170-174
6曹彤,王廷斌.改进的方位各向异性地震反演裂缝预测技术及应用.科学技术与工程,2016;16(28):43-48Cao Tong,Wang Tingbin.Improved seismic azimuth anisotropy inversion method and its application in fracture prediction.Science Technology and Engineering,2016;16(28):43-48
7刘松,孙向阳.利用偏移距衰减属性裂缝储层检测方法.成都理工大学学报(自然科学版),2009;36(3):282-286Liu Song,Sun Xiangyang.Detection method of fracture reservoir based on offset weak property.Journal of Chengdu University of Technology(Science&Technology Edition),2009;36(3):282-286
8孙炜,刘学清,贾趵.应力场分析在碳酸盐岩构造裂缝预测中的应用.石油天然气学报,2013;35(1):50-52Sun Wei,Liu Xueqing,Jia Bao.Application of stress field analysis in prediction of structural fracture in carbonate rock.Journal of Oil and Gas Technology,2013;35(1):50-52
9苏朝光,刘传虎,王军,等.相干分析技术在泥岩裂缝油气藏预测中的应用.石油物探,2002;41(2):197-201Su Chaoguang,Liu Chuanhu,Wang Jun,et al.Application of coherent analysis technique in prediction of mudstone fractured oil and gas reservoirs.Geophysical Prospecting for Petroleum,2002;41(2):197-201
10李婷婷,王钊,马世忠,等.地震属性融合方法综述.地球物理学进展,2015;30(1):378-385Li Tingting,Wang Zhao,Ma Shizhong,et al.Summary of seismic attributes fusion method.Progress in Geophysics,2015;30(1):378-385
11夏振宇,汪勇,蔡伟祥,等.变质岩裂缝段地球物理响应特征分析与裂缝预测.科学技术与工程,2015;15(29):7-14Xia Zhenyu,Wang Yong,Cai Weixiang,et al.Fracture prediction and the analysis of metamorphic rock fracture section geophysical response characteristics.Science Technology and Engineering,2015;15(29):7-14
12苟量,彭真明.小波多尺度边缘检测及其在裂缝预测中的应用.石油地球物理勘探,2005;40(3):309-313Gou Liang,Peng Zhenming.Multi-scale edge detection of wavelet and application in fracture prediction.Petroleum Geophysical Prospecting,2005;40(3):309-313
13申辉林,高松洋.基于BP神经网络进行裂缝识别研究.断块油气田,2006;2(4):39-42Shen Huilin,Gao Songyang.Research on fracture identification based on BP neural network.Fault-block Oil&Gas Field,2006;2(4):39-42
14 Smith J R,Chang S F.Automated binary texture feature sets for image retrieval.IEEE International Conference on Acoustics,Speech,and Signal Processing.Atlanta:IEEE Xplore,1996:2239-2242
15 Haralick R M,Shanmugam K.Textural features for image classification.IEEE Transactions on Systems,Man,and Cybernetics,1973;3(6):610-621
16李胜军,高建虎,张军舵,等.体纹理属性提取技术研究及应用.地球物理学进展,2013;28(3):1563-1569Li Shengjun,Gao Jianhu,Zhang Junduo,et al.Volume texture attribute Extraction technology and its application.Progress in Geophysics,2013;28(3):1563-1569
17 Chopra S,Alcxccv V.Applications of texture attribute analysis to3D seismic data.The Leading Edge,2006;25(8):931-940
18胡英,陈辉,贺振华,等.基于地震纹理属性和模糊聚类划分地震相.石油地球物理勘探,2013;48(1):114-120Hu Ying,Chen Hui,He Zhenhua,et al.Seismic fracies classification based on seismic texture attributes and fuzzy clustering.Petroleum Geophysical Prospecting,2013;48(1):114-120
19 Gao D.Volume texture extraction for 3D seismic visualization and interpretation.Geophysics,2003;68(4):1294-1302
20 Gao D.Application of three-dimensional seismic texture analysis with special reference to deep-marine facies discrimination and interpretation:offshore Angola,West Africa.AAPG Bulletin,2007;91(12):1665-1683
21王治国,尹成,雷小兰,等.河道纹理属性分析中的灰度共生矩阵参数研究.石油地球物理勘探,2012;47(1):100-106Wang Zhiguo,Yin Cheng,Lei Xiaolan,et al.GLCM parameters in fluvial texture analysis.Petroleum Geophysical Prospecting,2012;47(1):100-106
22 Dunn J C.A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters.Journal of Cybernetics,1973;3(3):32-57
23 Bezdek J C.Pattern recognition with fuzzy objective function algorithms.New York:Plenum Press,1981
24杨培杰,印兴耀,张广智.模糊C均值地震属性聚类分析.石油地球物理勘探,2007;42(3):322-324Yang Peijie,Yin Xingyao,Zhang Guangzhi.Fuzzy C-means Clustering analysis of seismic attributes.Petroleum Geophysical Prospecting,2007;42(3):322-324
25高新波,李洁,谢维信.模糊C均值聚类算法中参数m的优选.模式识别与人工智能,2000;13(1):7-11Gao Xinbo,Li Jie,Xie Weixin.Optimal choice of weighting exponent in a fuzzy C-means clustering algorithm.Pattern Recognition and Artificial Intelligence,2000;13(1):7-11
26汪勇.裂缝油气藏储层预测方法及应用研究.武汉:中国地质大学,2013Wang Yong.Prediction method and its application of the fractured oil and gas reservoirs.Wuhan:China University of Geosciences,2013
27 Bezdek J C.A convergence theorem for the fuzzy ISODATA clustering algorithms.IEEE Transactions on Pattern Analysis and Machine Intelligence,1980;2(1):1-8
28 Bellman R E,Zadeh L A.Decision-making in a fuzzy environment.Management Science,1970;17(4):141-164