频谱成像技术在泌阳凹陷深凹区储层预测中的应用
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摘要
针对泌阳凹陷深凹区砂岩储层厚度变化快、横向相变复杂、薄层储层精细刻画难度较大等特点,在泌204井井区应用了地震频谱成像技术,并对砂岩储层频谱成像响应特征进行了分析。阐述了频谱成像技术的基本原理,为克服离散傅里叶变换时窗长度选择上的困难,采用以小波变换为基础的时频分析技术,建立薄储层与频率之间的调谐关系。在精细层位标定的基础上,基于深凹区三维地震资料,采用分频技术生成了泌204井井区不同频段调谐频率下的地震能量数据体,并进行了薄储层分辨能力分析;然后基于地震能量数据体,进行了砂体储层的边界和空间分布检测,提出了有利目标区。预测结果与实际地质情况较为吻合。
The sand reservoirs has fast variable thickness and complex variable lateral facies at deep depressed zone in Biyang Depression, so it is difficult to fine describe the thin reservoirs.Aiming at the problems,we applied frequency spectrum imaging technology to Bi204 well area to analyze the frequency spectrum imaging response characteristics of sand reservoir.After introducing the principles of frequency spectrum imaging technique,in order to avoid the difficulty of selecting the window length for discrete Fourier transform, the wavelet transform based time-frequency analysis technique was adopted to obtain the tuning relationship of frequency and thin reservoirs. In Bi204 well area,based on fine horizon calibration,frequency division technique was utilized to 3-D seismic data for generating seismic energy data volume with tuning frequency in different frequency band and analyzing the identification ability for thin reservoirs. Then,based on seismic energy data volume,the boundary of sand reservoirs was identified and its spatial distribution was detected, potential area was proposed.The predicted results are coinciding with actual geologic conditions.
The sand reservoirs has fast variable thickness and complex variable lateral facies at deep depressed zone in Biyang Depression, so it is difficult to fine describe the thin reservoirs.Aiming at the problems,we applied frequency spectrum imaging technology to Bi204 well area to analyze the frequency spectrum imaging response characteristics of sand reservoir.After introducing the principles of frequency spectrum imaging technique,in order to avoid the difficulty of selecting the window length for discrete Fourier transform, the wavelet transform based time-frequency analysis technique was adopted to obtain the tuning relationship of frequency and thin reservoirs. In Bi204 well area,based on fine horizon calibration,frequency division technique was utilized to 3-D seismic data for generating seismic energy data volume with tuning frequency in different frequency band and analyzing the identification ability for thin reservoirs. Then,based on seismic energy data volume,the boundary of sand reservoirs was identified and its spatial distribution was detected, potential area was proposed.The predicted results are coinciding with actual geologic conditions.
引文
[1]Chopra S,Marfurt K.Seismic attributes -a promising aid for geologic prediction[J].CSEG Recorder, 2006,31(Special Issue):110-120
[2]印兴耀,韩文功,李振春,等.地震技术新进展(下) [M].北京:中国石油大学出版社,2006:58-122
[3]柏冠军,吴汉宁,赵希刚,等.地震资料预测薄层厚度方法研究与应用[J].地球物理学进展,2006,21(2): 554-558
[4]路鹏飞,杨长春,郭爱华.频谱成像技术研究与进展[J].地球物理学进展,2007,22(5):1517-1521
[5]朱庆荣,张越迁,于兴河.分频解释技术在表征储层中的运用[J].矿物岩石,2003,23(3):104-108
[6]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3): 299-302
[7]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
[8]肖高杰,杨长春,范兴斌,等.谱分解技术在W区河道识别中的应用[J].地球物理学进展,2008,23(2): 568-572
[9]龚洪林,王振卿,李录明,等.利用地震分频技术预测碳酸盐岩储层[J].地球物理学进展,2008,23(1): 129-135
[10]刘春园,魏修成,朱生旺,等.频谱分解在碳酸盐岩储层中的应用研究[J].地质学报,2008,82(3): 428-432
[11]Castagna J P,Sun S,Siegfried R W.Instantaneous spectral analysis.,detection of low-frequency shadows associated with hydrocarbons[J].The Leading Edge,2003,22(2):120,122,124-127
[12]Sun S,Castagna J P,Seigfried R W.Examples of wavelet transform time-frequency analysis in direct hydrocarbon detection[J].Expanded Abstracts of 72~(nd) Annual Internat SEG Mtg,2002,457-460
[13]李劲松,李艳东,张盺,等.地震谱分解技术在岩性油气藏描述中的应用[J].石油天然气学报,2008,30 (2):239-241
[14]黄中玉,王于静,孙显义,等.分频技术在气层识别中的应用[J].勘探地球物理进展,2008,31(1):73-79
[15]Morlet J,Arens G,Fourgeau E,et al.Wave propagation and sampling theory-partⅠ&Ⅱ:complex signal and scattering in multilayered media[J].Geophysics, 1982,47(2):203-236
[16]Partyka G A,Gridley J,Lopez J.Interpretational applications of spectral decomposition in reservoir characterization [J].The Leading Edge,1999,18(3):353-360
[17]黄平,路中侃.地震频谱分析在气水分布研究中的应用[J].石油物探,1995,34(2):71-75
[18]冯凯,查朝阳,钟德盈.反演技术和频谱成像技术在储层预测中的综合应用[J].石油物探,2006,45(3): 262-266
[19]胡宇芳,张云锦,杨建勋,等.频谱成像技术在油田勘探初期的应用[J].新疆石油地质,2006,27(6): 749-750
[20]李晓光.一个砂泥岩薄互层地区的储层预测方法及效果[J].石油物探,1995,34(1):35-46
[2]印兴耀,韩文功,李振春,等.地震技术新进展(下) [M].北京:中国石油大学出版社,2006:58-122
[3]柏冠军,吴汉宁,赵希刚,等.地震资料预测薄层厚度方法研究与应用[J].地球物理学进展,2006,21(2): 554-558
[4]路鹏飞,杨长春,郭爱华.频谱成像技术研究与进展[J].地球物理学进展,2007,22(5):1517-1521
[5]朱庆荣,张越迁,于兴河.分频解释技术在表征储层中的运用[J].矿物岩石,2003,23(3):104-108
[6]徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3): 299-302
[7]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
[8]肖高杰,杨长春,范兴斌,等.谱分解技术在W区河道识别中的应用[J].地球物理学进展,2008,23(2): 568-572
[9]龚洪林,王振卿,李录明,等.利用地震分频技术预测碳酸盐岩储层[J].地球物理学进展,2008,23(1): 129-135
[10]刘春园,魏修成,朱生旺,等.频谱分解在碳酸盐岩储层中的应用研究[J].地质学报,2008,82(3): 428-432
[11]Castagna J P,Sun S,Siegfried R W.Instantaneous spectral analysis.,detection of low-frequency shadows associated with hydrocarbons[J].The Leading Edge,2003,22(2):120,122,124-127
[12]Sun S,Castagna J P,Seigfried R W.Examples of wavelet transform time-frequency analysis in direct hydrocarbon detection[J].Expanded Abstracts of 72~(nd) Annual Internat SEG Mtg,2002,457-460
[13]李劲松,李艳东,张盺,等.地震谱分解技术在岩性油气藏描述中的应用[J].石油天然气学报,2008,30 (2):239-241
[14]黄中玉,王于静,孙显义,等.分频技术在气层识别中的应用[J].勘探地球物理进展,2008,31(1):73-79
[15]Morlet J,Arens G,Fourgeau E,et al.Wave propagation and sampling theory-partⅠ&Ⅱ:complex signal and scattering in multilayered media[J].Geophysics, 1982,47(2):203-236
[16]Partyka G A,Gridley J,Lopez J.Interpretational applications of spectral decomposition in reservoir characterization [J].The Leading Edge,1999,18(3):353-360
[17]黄平,路中侃.地震频谱分析在气水分布研究中的应用[J].石油物探,1995,34(2):71-75
[18]冯凯,查朝阳,钟德盈.反演技术和频谱成像技术在储层预测中的综合应用[J].石油物探,2006,45(3): 262-266
[19]胡宇芳,张云锦,杨建勋,等.频谱成像技术在油田勘探初期的应用[J].新疆石油地质,2006,27(6): 749-750
[20]李晓光.一个砂泥岩薄互层地区的储层预测方法及效果[J].石油物探,1995,34(1):35-46
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