Thin reservoir prediction based on seismic segmented-frequency band tune and Wheeler transformation
Yin Wen1, Zhu Jianbing2, Li Yuan3, Guo Jiashu4, Li Changhong2
1. Karamay Campus, Faculty of Petroleum, China University of Petroleum(Beijing), Karamay, Xinjiang 834000, China; 2. Geophysical Research Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257022, China; 3. Information Center, Human Resource and Social Security Bureau of Dongying, Dongying, Shandong 257091, China; 4. College of Computer and Communication Engineering, China University of Petroleum(East China), Qingdao, Shandong 266580, China
Abstract：Conventional reservoir prediction methods are mainly carried out in the time domain and depth domain,which leads strongly multiple solutions,especially for continental complex geological bodies.Besides,conventional seismic tuning body analysis is based on the dominant frequency of seismic data without considering the contribution of high frequency components.Therefore we propose an approach to thin reservoir prediction based on the sequence stratigraphy and seismic sedimentology.First seismic tuning bodies in different segmented-frequency bands are extracted.Then after horizon automatic tracking constrained by isochronal stratigraphic framework,horizon tracking results are transformed into the Wheeler domain with characteristics of sedimentary cycles in the time domain,and the stratigraphic correlation and chronostratigraphic framework are constructed to realize the synchronous interpretation of chronostratigraphy and sedimentary system tract,which reveals spatial relationships of sedimentary assemblages.Then,stratigraphic slices of high-frequency tuning body are extracted to predict strata-bound thin reservoirs,and the transverse prediction accuracy of thin sand bodies is effectively improved with the isochronous interface.With high vertical resolution of seismic data and high transverse resolution of isochronous slices in the Wheeler domain,the reservoir interpretation multiplicity is reduced.The validity of the proposed approach is verified by seismic data applications.
刘洪文,杨培杰,刘书会等.地震Wheeler转换技术及其应用.石油物探,2012,51(1):51-55.Liu Hongwen,Yang Peijie,Liu Shuhui et al.Seismic Wheeler conversion technology and its application.GPP,2012,51(1):51-55.
[2]
谭绍泉.Wheeler域储层地震预测技术研究.地球物理学进展,2013,28(2):846-851.Tan Shaoquan.Seismical reservoir prediction in Wheeler domain.Progress in Geophysics,2013,28(2):846-851.
[3]
罗红梅,邢雷,穆星.利用三维Wheeler图形进行地质过程控制下的地震解释方法.国外油田工程,2009,25(4):1-2.Luo Hongmei,Xing Lei,Mu Xing.Seismic interpretation method for geological process control using 3D Wheeler graphics.Foreign Oilfield Engineering,2009,25(4):1-2.
[4]
林畅松,刘景彦,刘丽等.高精度层序地层分析:建立沉积相和储层规模的等时地层格架.现代地质,2002,16(3):276-281.Lin Changsong,Liu Jingyan,Liu Li et al.High resolution sequence stratigraphy analysis:construction of chronostratigraphic sequence framework on facies and reservoir scale.Geoscience,2002,16(3):276-281.
[5]
李伟,岳大力,胡光义等.分频段地震属性优选及砂体预测方法.石油地球物理勘探,2017,52(1):121-130.Li Wei,Yue Dali,Hu Guangyi et al.Frequency-segmented seismic attribute optimization and sandbody distribution prediction.OGP,2017,52(1):121-130.
[6]
魏晓华,刘怀山,徐秀刚等.基于时频分析与变换的高精度储层预测.地球物理学进展,2013,28(6):3153-3164.Wei Xiaohua,Liu Huaishan,Xu Xiugang et al.High-precision reservoir prediction based on time-frequency analysis and Wheeler transform,Progress in Geophy-sics,2013,28(6):3153-3164.
[7]
刘力辉,李建海,孙莹频等.时频属性法薄互层预测.石油地球物理勘探,2017,52(6):1261-1268.Li Lihui,Li Jianhai,Sun Yingpin et al.Thin inter-bed prediction with time and frequency attributes.OGP,2017,52(6):1261-1268.
[8]
黄捍东,郭飞,汪佳蓓等.高精度地震时频谱分解方法及应用.石油地球物理勘探,2012,47(5):773-780.Huang Handong,Guo Fei,Wang Jiapei et al.High precision seismic time-frequency spectrum decomposition method and its application.OGP,2012,47(5):773-780.
[9]
梁岳,顾汉明,姚知铭.改进的希尔伯特-黄变换在储层预测中的应用.石油物探,2016,55(4):606-615.Liang Yue,Gu Hanming,Yao Zhiming.The application of improved Hilbert-Huang transform in reservoir prediction.GPP,2016,55(4):606-615.
[10]
刘庆敏,杨午阳,李书平.希尔伯特-黄变换在地震资料处理中的应用.西北地震学报,2009,31(3):211-216.Liu Qingmin,Yang Wuyang,Li Shuping.Application of the Hilbert-Huang transform to seism data processing.Northwestern Seismological Journal,2009,31(3):211-216.
[11]
侯斌,桂志先,胡敏等.基于希尔伯特-黄变换的地震信号时频谱分析.勘探地球物理进展,2009,32(4):248-251.Hou Bin,Gui Zhixian,Hu Min et al.Time frequency spectrum analysis of seismic signals based on Hilbert-Huang transform.Progress in Exploration Geophy-sics,2009,32(4):248-251.
[12]
Emanuele F,Matteo D,Michele P et al.Automated phase attribute-based picking applied to reflection seismic.Geophysics,2016,81(2):141-150.
[13]
Emmanuel L,Camille C.Merging chronostratigraphic modeling and global horizon tracking.Interpretation,2015,3(2):59-67.
[14]
郑公营,曾婷婷.地震层位自动追踪技术研究.物化探计算技术,2013,35(6):711-713.Zheng Gongying,Zeng Tingting.Research on automatic tracking technology of seismic horizon.Computing Techniques for Geophysical and Geochemical Exploration,2013,35(6):711-713.
[15]
李振华,邱隆伟,齐赞等.蚂蚁追踪技术在辛34断块解释中的应用.西安石油大学学报(自然科学版),2013,28(2):20-24.Li Zhenhua,Qiu Longwei,Qi Zan et al.Application of ant tracking technique in the interpretation of the symplectic 34 fault block.Journal of Xi'an Shiyou University(Natural Science Edition),2013,28(2):20-24.
[16]
林承颧,郭立全,张卫等.利用蚂蚁追踪技术精细解释矿井地质构造.中国煤炭地质,2013,25(4):55-59.Lin Chengquan,Guo Liquan,Zhang Wei et al.Fine interpretation of mine geological structure through ant tracing technology.Coal Geology of China,2013,25(4):55-59.
[17]
严哲.三维地震断层自动识别与智能解释[学位论文].北京:中国地质大学(北京),2010.
[18]
李小红,汪晓兵,肖都建等.中值滤波在地震资料处理中的应用.石油物探,2004,43(3):248-250.Li Xiaohong,Wang Xiaobing,Xiao Dujian et al.The application of median filter in seismic data processing.GPP,2004,43(3):248-250.
[19]
袁勇,张固澜.一种改进的中值滤波方法.成都理工大学学报(自然科学版),2013,40(2):125-129.Yuan Yong,Zhang Gulan.An improved median filter method.Journal of Chengdu University of Technology(Science & Tchnology Edition),2013,40(2):125-129.
[20]
刘茗.基于噪声检测的自适应中值滤波算法.计算机应用,2011,15(5):212-217.Liu Ming.Dynamic window-based adaptive median filter algorithm.Journal of Computer Applications,2011,15(5):212-217.
殷文,李援,郭加树等.基于改进蚁群追踪策略的地震层位自动识别方法研究.石油地球物理勘探,2017,52(3):553-561.Yin Wen,Li Yuan,Guo Jiashu et al.Research on au-tomatic identification method of seismic horizon based on tracking strategy with ant colony.OGP,2017,52(3):553-561.
[23]
邱慧.3C相干体算法的改进及在断层解释中的应用[学位论文].陕西西安:西安科技大学,2011.
[24]
dGB Earth Sciences.OpendTect User Documentation,version 4.0.http://opendtect.org/rel/doc/Userlbase,2009.
[25]
殷文,郭加树,李援等.基于层控蚁群层位自动追踪的Wheeler转换的方法研究及应用.中国石油大学学报(自然科学版),2017,41(1):51-59.Yin Wen,Guo Jiashu,Li Yuan et al.Research and application on Wheeler conversion method based on layer-controlled horizon automatic tracking with ant colony algorithm.Journal of China University of Petroleum (Edition of Natural Sciences),2017,41(1):51-59.
