Small scale fault identification approach based on fault plane model: taking Bohai Oilfield A as example

YAO Yongqiang; HE Dianbo; ZHANG Pingping; XIONG Yu; JIANG Zhiheng

doi:10.16028/j.1009-2722.2020.129

2022 Vol. 37, No. 2

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YAO Yongqiang, HE Dianbo, ZHANG Pingping, XIONG Yu, JIANG Zhiheng. Small scale fault identification approach based on fault plane model: taking Bohai Oilfield A as example[J]. Marine Geology Frontiers, 2022, 38(2): 76-80. doi: 10.16028/j.1009-2722.2020.129

Citation:

YAO Yongqiang, HE Dianbo, ZHANG Pingping, XIONG Yu, JIANG Zhiheng. Small scale fault identification approach based on fault plane model: taking Bohai Oilfield A as example[J]. Marine Geology Frontiers, 2022, 38(2): 76-80. doi: 10.16028/j.1009-2722.2020.129

Small scale fault identification approach based on fault plane model: taking Bohai Oilfield A as example

Tianjin Branch of CNOOC (China) Ltd., Tianjin 300452, China

Received Date: 10 September 2020

Accepted Date: 30 November 2021

Publish Date: 28 February 2022

Abstract

Abstract

The Oilfield A is located in the east of Bohai Sea, at the junction of the Tan-lu fault and the Zhangpeng fault where small scale faults are well developed. The conventional coherence algorithm is easily affected by noise and hard to be used in small scale faults description effectively. A more accurate fault description method is required. In this paper, a characterization method for small scale fault based on fault plane model is adopted. By constructing structural tensor, eigenvalues and eigenvectors of matrix are extracted to construct fault attributes. Then through the correlation of adjacent points, the extension distance of the fault is defined. Analysis of actual data suggests that the ability to depict small scale faults and the interpretation of small structures are much improved using this method in the Oilfield A.
- small scale fault /
- fault plane model /
- gradient structure tensor /
- coherence analysis

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References

[1]	薛永安. 精细勘探背景下渤海油田勘探新思路与新进展[J]. 中国海上油气,2017,29(2):1-8. Google Scholar
[2]	江涛,黄晓波,李慧勇,等. 渤西伸展背景下先存—新生断裂体系特征及控藏作用[J]. 海洋地质前沿,2020,36(11):27-34. Google Scholar
[3]	于喜通,官大勇,王志萍,等. 渤中西洼新近系“隆-断”联合控藏作用定量评价[J]. 海洋地质前沿,2020,36(11):18-26. Google Scholar
[4]	宿雯,杨海风,揣媛媛,等. 渤海南部缓坡带新近系油气运移模式:以垦利9油田群为例[J]. 海洋地质前沿,2020,36(11):69-76. Google Scholar
[5]	周维维, 王伟锋, 安邦, 等. 渤海湾盆地小尺度断裂带刻画及其地质意义[J]. 地球科学: 中国地质大学学报, 2014, 39（11）: 1627-1938. Google Scholar
[6]	黄雷. 渤海海域新近纪以来构造特征与演化及其油气赋存效应[D]. 西安: 西北大学, 2010. Google Scholar
[7]	BAHORICH M S, FARMER S L. 3D seismic discontinuity for faults and stratigraphic features: the coherence cube[C]//Expanded Abstracts of 65^th Annual International SEG Mtg, 1995: 93-96. Google Scholar
[8]	张军华,王月英,赵勇. C3相干体在断层和裂缝刻画中的应用[J]. 石油大学学报:自然科学版,2003,27(3):31-32. Google Scholar
[9]	许建国. 低序级断层成像技术在c13地区的应用[J]. 海洋地质前沿,2014,30(2):56-62. Google Scholar
[10]	KIRLIN R L. The relationship between semblance and eigen-structure velocity estimators[J]. Geophysics. 1992, 57: 1027-1033. Google Scholar
[11]	MARFURT K J, KIRLIN R J, FARMER S L, et al. 3-D seismic attributes using a semblance-based coherency algorithm[J]. Geophysics. 1998, 63: 1150-1165. Google Scholar
[12]	MARFURT K J,SUDHAKAR V,GERSZTENKORN N A,et al. Coherency calculations in the presence of structural dip[J]. Geophysics,1999,64:104-111. doi: 10.1190/1.1444508 CrossRef Google Scholar
[13]	GERSZTENKORN N A, MARFURT K J. Structure-based coherence computations as an aid to 3-D structural and stratigraphic mapping[J]. Geophysics. 1999, 64: 1468–1479. Google Scholar
[14]	GERSZTENKORN N A, MARFURT K J. Coherence computations with eigen-structure[C]//58^th Annual Conference and Exhibition, EAGE, Extended Abstracts. 1996. Google Scholar
[15]	GERSZTENKORN N A, MARFURT K J. Eigen-structure based coherence computations[C]//66^th Annual International Meeting, SEG, Expanded Abstracts, 1996: 328–331. Google Scholar
[16]	RANDEN T, MOSEN E, SIGNER C, et al. Three-dimensional texture attributes for seismic data analysis[C]//70^th Annual International Meeting, SEG, Expanded Abstracts, 2000: 668–671. Google Scholar
[17]	陈凤云,杭远,康建林. 相干和方差数据体的算法研究及应用[J]. 物探与化探,2006,30(3):250-257. Google Scholar
[18]	麻旭刚,陈华靖,李才,等. 浅层复杂断块区相干体制作方法:以渤中23构造区为例[J]. 世界地质,2015,34(4):1024-1029. doi: 10.3969/j.issn.1004-5589.2015.04.014 CrossRef Google Scholar
[19]	徐德奎,王玉英,郑江峰. 倾角导向的相干加强技术在改善复杂断块地震资料中的应用[J]. 地球物理学进展,2016,31(3):1224-1228. doi: 10.6038/pg20160340 CrossRef Google Scholar
[20]	冯智慧,张文春,李向群,等. 高精度分频相干加强技术在小尺度断层刻画中的应用[J]. 吉林大学学报:地球科学版,2016,46(5):1571-1579. Google Scholar
[21]	黎小伟,范久霄,刘明汐,等. 相干体解释断层方法测试及泾河油田的应用[J]. 海洋地质前沿,2015,31(12):65-70. Google Scholar
[22]	张军华,董猛,周振晓,等. 基于GST的相干体方法研究及应用[J]. 天然气工业,2007,27(增刊A):381-383. Google Scholar
[23]	王莉. 辽东东地区断层封闭性评价[J]. 海洋地质前沿,2012,28(8):38-42. Google Scholar
[24]	陈双全,季敏. 地震数据结构张量相干计算方法[J]. 石油物探,2012,31(3):233-238. doi: 10.3969/j.issn.1000-1441.2012.03.004 CrossRef Google Scholar
[25]	问雪,陈雪芳,陈胜红,等. 利用结构导向平滑方法解释断层[J]. 石油地球物理勘探,2017,52(1):146-151. Google Scholar