低序级断层结构导向坎尼属性边缘检测识别方法

doi:10.11720/wtyht.2020.0054

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Abstract

Conventional fault detection attributes can identify low-sequence faults with relatively flat stratigraphic attitudes and obvious seismic reflection characteristics.Low-order faults are poorly identified in places where strata are inclined or the dip angle of strata changes drastically.In view of the above difficulties,on the basis of an in-depth analysis of the geological characteristics and seismic response characteristics of low-order faults,the authors carried out the research based on a method for identifying low-order faults based on the structure-oriented Canny attribute edge detection according to the combination of 3D multi-level blind source separation and structural preservation filtering denoising,and formed an effective low-order fault identification method,which improved the capability of low-order fault identification.Compared with coherent attributes,the noise detection results of the structure-oriented Canny attribute edge detection are smaller,especially in places where the stratum is steep or the attitude of the formation fluctuates greatly (that is,the formation dip angle changes greatly).The results are better.The obtained results are in good agreement with real drilling results,and the oil-water relationship in the study area is solved.Five more low-order faults were discovered,and new drilling wells have achieved high oil production flow.

Key words： multi-level blind source separation structural preservation filtering structure-oriented gradient properties low-order fault

Received: 19 January 2020 Published: 24 June 2020

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	Articles by authors
	Yu-Ge MA
	Chao-Guang SU
	Jian ZHANG
	Jun-Sheng LIU

Cite this article:

Yu-Ge MA,Chao-Guang SU,Jian ZHANG, et al. Low-order fault structure-oriented Canny property edge detection and recognition method[J]. Geophysical and Geochemical Exploration, 2020, 44(3): 698-703.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2020.0054 OR https://www.wutanyuhuatan.com/EN/Y2020/V44/I3/698

[1]	马玉歌. 盘河地区低序级断层地震识别和应用效果[J]. 科技导报, 2011,19(5):31-33.
[1]	Ma Y G. Applications of seismic identification technique to low-level faults in Panhe area[J]. Science and Technology Guide, 2011,19(5):31-33.
[2]	王彦君, 雍学善, 刘应如, 等. 小断层识别技术研究及应用[J]. 勘探地球物理进展, 2007,30(2):135-139.
[2]	Wang Y J, Yong X S, Liu Y R, et al. Research and application of small fault recognition technology[J]. Progress in Exploration Geophysics, 2007,30(2):135-139.
[3]	刘彦, 孟小红, 胡金民, 等. 断层识别技术及其在MB油气田的应用[J]. 地球物理学进展, 2008,23(2):515-521.
[3]	Liu Y, Meng X H, Hu J M, et al. Faults identifying technique and it's application in MB oil-gas field[J]. Progress in Exploration Geophysics, 2008,23(2):515-521.
[4]	张欣. 蚂蚁追踪在断层自动解释中的应用——以平湖油田放鹤亭构造为例[J]. 石油地球物理勘探, 2010,45(2):278-281.
[4]	Zhang X. Application of ant tracing algorithm in fault automatic interpretation:A case study on Fangheting structure in Pinghu Oilfield[J]. Oil Geophysical Prospecting, 2010,45(2):278-281.
[5]	张延庆, 魏小东, 王亚楠, 等. 谱分解技术在QL油田小断层识别与解释中的应用[J]. 石油地球物理勘探, 2006,41(5):584-586.
[5]	Zhang Y Q, Wei X D, Wang Y N, et al. Application of spectral factorization in recognition and interpretation of minor faults in QL oilfield[J]. Oil Geophysical Prospecting, 2006,41(5):584-586.
[6]	杨瑞召, 李洋, 庞海玲, 等. 产状控制蚂蚁体预测微裂缝技术及其应用[J]. 煤田地质与勘探, 2013,41(2):72-75.
[6]	Yang R Z, Li Y, Pang H L, et al. Prediction technology of micro fractures by occurrence-controlled ant body and its application[J]. Coal Geology & Exploration, 2013,41(2):72-75.
[7]	白青林, 杨少春, 路智勇, 等. 复杂断块区低序级断层的井-震联合识别[J]. 石油地球物理勘探, 2019,54(5):1131-1139.
[7]	Bai Q L, Yang S C, Lu Z Y, et al. Low-grade fault identification in complex fault-block zones based on well and seismic data[J]. Oil Geophysical Prospecting, 2019,54(5):1131-1140.
[8]	张昕, 甘利灯, 刘文岭, 等. 密井网条件下井震联合低级序断层识别方法[J]. 石油地球物理勘探, 2012,47(3):462-468.
[8]	Zhang X, Gan L D, Liu W L, et al. Joint well-seismic interpretation of low-grade faults in dense well pattern block[J]. Oil Geophysical Prospecting, 2012,47(3):462-468.
[9]	冉怀江, 梁兴, 陈方鸿, 等. 复杂小断层精细解释方法在洋心次凹的应用[J]. 石油地球物理勘探, 2011,46(2):299-303.
[9]	Ran H J, Liang X, Chen F H, et al. Seismic subtle interpretation of complex minor fault in Yangxin Sub-sag[J]. Oil Geophysical Prospecting, 2011,46(2):299-303.
[10]	陈波, 魏小东, 任敦占, 等. 基于谱分解技术的小断层识别[J]. 石油地球物理勘探, 2010,45(6):890-894.
[10]	Chen B, Wei X D, Ren D Z, et al. Small fault identification based on spectrum decom-position technique[J]. Oil Geophysical Prospecting, 2010,45(6):890-894.
[11]	吕双兵. 井震联合断层识别技术及其应用——以杏北油田为例[J]. 地球物理学进展, 2015,30(5):2200-2205.
[11]	Lyu S B. Identification of fault by integration of well and seismic data and its applications—taking Xingbei oilfield as the example[J]. Progress in Geophysics, 2015,30(5):2200-2205.
[12]	尹川, 杜向东, 赵汝敏, 等. 小波分频倾角相干在复杂断裂解释中的应用[J]. 石油地球物理勘探, 2015,50(2):346-350.
[12]	Yin C, Du X D, Zhao R M, et al. Dip-steering similarity based on wavelet decomposi-tion in complex fault interpretation[J]. Oil Geophysical Prospecting, 2015,50(2):346-350.
[13]	隋京坤, 郑晓东, 李艳东. 一种精确消除倾斜地层对相干值影响的方法[J]. 石油地球物理勘探, 2015,50(4):691-698.
[13]	Sui J K, Zheng X D, Li Y D, et al. A precise algorithm to eliminate effects of slope on seismic coherence[J]. Oil Geophysical Prospecting, 2015,50(4):691-698.
[14]	孙永壮. 异常地质体地震边缘检测技术研究[D]. 青岛:中国石油大学(华东) 2014.
[14]	Sun Y Z. The research of abnormal geological body identification based on seismic edge detection[D]. Qingdao:China University of Petroleum, 2014.
[15]	刁瑞, 吴国忱, 尚新民, 等. 地面阵列式微地震数据盲源分离去噪方法[J]. 物探与化探, 2017,41(3):521-526.
[15]	Diao R, Wu G C, Shang X M, et al. The blind separation denoising method for surface array micro-seismic data[J]. Geophysical and Geochemical Exploration, 2017,41(3):521-526.
[16]	边树涛, 董艳蕾, 苏晓军, 等. 地震相干体技术识别低序级断层方法研究[J]. 世界地质, 2007,26(3):368-373.
[16]	Bian S T, Dong Y L, Su X J, et al. Method study of seismic coherence cube technique to interpretation of low level faults[J]. Global Geology, 2007,26(3):368-373.