渤中凹陷西斜坡BZ3-8区块东营组东二下高分辨率井震层序及地震沉积学
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摘要
渤海海域凹陷由于资料的限制,其沉积相研究多为宏观的区域性研究,制约了储层的精细解释。基于最新采集的高精度地震三维资料,结合地震地层学、层序地层学、地震沉积学等理论方法,开展渤中凹陷西斜坡BZ3-8区块东营组重点目的层,东二下层序高分辨率井震层序分析及其地震沉积学研究。结果表明,研究区南北两侧具有不同的物源体系和沉积相模式。低水位体系域(LST)和高水位体系域(HST)时期,研究区北部物源均形成扇形、朵形的地震多属性及振幅切片异常,对应于扇三角洲沉积;南部物源均形成NE向展布的条带状地震多属性及振幅切片异常,对应于辫状河三角洲沉积。海进体系域(TST)时期,湖平面快速上升导致扇体不发育,仅在研究区北部局部发育小规模的扇三角洲沉积。东二下层序LST(富砂)-TST(富泥)-HST(富砂)的岩相演化规律,充分反映了经典层序地层学理论层序格架中的地层岩相组合分布规律,对储层和烃源岩的预测具有指示意义。
For lack of 3D seismic data and logging data,the previous research of sedimentary facies in the Bohai sea sag were not detailed enough for fine reservoir description.Based on the latest high-resolution three-dimensional seismic data,we carried out the high-resolution well-seismic sequence analysis and seismic sedimentology research for the Lower Ed2 of Dongying Formation in the BZ3-8 Block,western slope of Bozhong Sag.Results show that on the north and the south sides of the study area,there occurred different sediment provenance systems and facies.During LST and HST periods,fan-shaped and flower-shaped seismic multi-attributes and amplitude anomalies dominated in the northern part of the study area,indicating fan-delta deposits,while northeast banded seismic multi-attributes and amplitude anomalies were found in the southern part of the study area,that was interpreted as the braided-river delta deposits.During the TST period with the rapid rise in lake level,small-scale fan deltas remained in the north.The sedimentary facies evolution of the system tracts of the sequence of Lower Ed2,from LST(rich sand),TST(rich mud) to HST(rich sand),reflects a classical distribution pattern of stratigraphic lithofacies in a sequence stratigraphic framework,which is significant to reservoir and source rock prediction.
For lack of 3D seismic data and logging data,the previous research of sedimentary facies in the Bohai sea sag were not detailed enough for fine reservoir description.Based on the latest high-resolution three-dimensional seismic data,we carried out the high-resolution well-seismic sequence analysis and seismic sedimentology research for the Lower Ed2 of Dongying Formation in the BZ3-8 Block,western slope of Bozhong Sag.Results show that on the north and the south sides of the study area,there occurred different sediment provenance systems and facies.During LST and HST periods,fan-shaped and flower-shaped seismic multi-attributes and amplitude anomalies dominated in the northern part of the study area,indicating fan-delta deposits,while northeast banded seismic multi-attributes and amplitude anomalies were found in the southern part of the study area,that was interpreted as the braided-river delta deposits.During the TST period with the rapid rise in lake level,small-scale fan deltas remained in the north.The sedimentary facies evolution of the system tracts of the sequence of Lower Ed2,from LST(rich sand),TST(rich mud) to HST(rich sand),reflects a classical distribution pattern of stratigraphic lithofacies in a sequence stratigraphic framework,which is significant to reservoir and source rock prediction.
引文
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[15]林畅松,潘元林,肖建新,等.中国东部中新生代断陷盆地幕式裂陷过程的动力学响应和模拟模型[J].地球科学———中国地质大学学报,2004,29(5):583-588.[LIN Chang-song,PAN Yuanlin,XIAO Jianxin,et al.Episodic riftingdynamic process and quantitative model of Mesozoic-Cenozoicfaulted basins in eastern China[J].Earth Science-Journal ofChina University of Geosciences,2004,.29(5):583-588.]
[16]张建宁,于建国.地震属性应用中的不确定性分析[J].石油物探,2006,45(4):373-379.[ZHANG Jianning,YU Jian-guo.The indetermination analysis on the seismic attributeapplication[J].Geophysical Prospecting for Petroleum,2006,45(4):373-379.]
[17]徐刚,张建宁,谭明友.BP人工神经网络在济阳拗陷圈闭地质评价中的应用[J].石油地球物理勘探,2004,39(5):565-569.[XU Gang,ZHANG Jianning,TAN Mingyou.Applica-tion of BP artificial neural network to geologic appreciation oftraps in Jiyang depression[J].Oil Geophysical Prospecting,2004,39(5):565-569.]
[18]贺铎华.BP神经网络识别塔北低阻油气层[J].物探与化探,2002,26(2):122-125.[HE Zhehua.The Application of BPneural network to recognition of the Tabei low resistivity oiland gas layers[J].Geophysical and Geochemical Exploration,2002,26(2):122-125.]
[19]田景文,高美娟.人工神经网络算法研究及应用[M].北京:北京理工大学出版社,2006:35-38.[TIAN Jingwen,GAOMeijuan.The research and application of artificial neural net-work[M].Beijing:Beijing Institute of Technology Press,2006:35-38.]
[20]Wornardt W W,Vail P R.Systems tracts:variations inthickness and lithofacies with paleobathymetry[J].AAPGBulletin,1991,75(9):1544-1544.
[2]Escalona A,Mann P J.Sequence-stratigraphic analysis of Eo-cene clastic foreland basin deposits in central Lake Maracaibousing high-resolution well correlation and 3-D seismic data[J].AAPG Bulletin,2006,90(4):581-623.
[3]Mitchum R M,Van Wagoner J C.High-frequency sequencesand their stacking patterns:Sequence-stratigraphic evidence ofhigh-frequency eustatic cycles[J].Sedimentary Geology,1991,70(2-4):131-147,153-160.
[4]Wright V P,Marriott S B.The sequence stratigraphy of fluvi-al depositional systems:the role of floodplain sediment storage[J].Sedimentary Geology,1993,86(3-4):203-210.
[5]Zaitlin B A,Warren M J,Potocki D J,et al.Depositionalstyles in a low accommodation foreland basin setting:An ex-ample from the Basal Quartz(Lower Cretaceous),SouthernAlberta[J].Bulletin of Canadian Petroleum Geology,2002,50(1):31-72.
[6]Zeng H L,Hentz T F.High-frequency sequence stratigraphyfrom seismic sedimentology:Applied to Miocene,VermilionBlock 50,Tiger Shoal area,offshore Louisiana[J].AAPGBulletin,2004,88(2):153-174.
[7]Zeng H L,Robert G L,Brown L F.Mapping sediment-dis-persal patterns and associated systems tract in forth-and fifth-order sequence using seismic sedimentology:Example fromCorpus Christi Bay,Texas[J].AAPG Bulletin,2007,91(7):981-1003.
[8]Zeng H L.Geologic significance of anomalous instantaneousfrequency[J].Geophysics,2010,75(3):23-30.
[9]Zeng H L,Henry S C,Riola J P.Strata slicing,part II:Re-al3-D seismic data[J].Geophysics,1998,63(2):514-522.
[10]董春梅,张宪国,林承焰.地震沉积学的概念、方法和技术[J].沉积学报,2006,24(5):698-704.[DONG Chunmei,ZHANG xianguo,LIN Chengyan.Conception,method andtechnology of the seismic Sedimentology[J].Acta Sedmento-logican Sinica,2006,24(5):698-704.]
[11]朱伟林,李建平,周心怀,等.渤海新近系浅水三角洲沉积体系与大型油气田勘探[J].沉积学报,2008,26(4):575-582.[ZHU Weilin,LI Jianping,ZHOU Xinhua,et al.Neo-gene shallow water deltaic system and large hydrocarbon ac-cumulations in Bohai bay,China[J].Acta SedmentologicanSinica,2008,26(4):575-582.]
[12]侯贵廷,钱祥麟,蔡东升.渤海湾盆地中、新生代构造演化研究[J].北京大学学报:自然科学版,2001,37(6):845-851.[HOU Guiting,QIAN Xianglin,CAI Dongsheng.The tec-tonic evolution of Bohai Basin in Mesozoic and Cenozoic Time[J].Acta Scicentiarum Naturalum Universitis Pekinesis,2001,37(6):575-582.]
[13]徐长贵,于水,林畅松,等.渤海海域古近系湖盆边缘构造样式及其对沉积层序的控制作用[J].古地理学报,2008,10(6):627-635.[XU Changgui,YU Shui,LIN Changson,etal.Structural styles of the Paleogene lacustrine basin marginand their control on sedimentary sequences in Bohai Sea area[J].Journal of Palaeogeography,2008,10(6):627-635.]
[14]周士科,魏泽典,邓宏文,等.渤中凹陷古近系构造层序研究[J].中国海上油气,2006,18(4):236-240.[ZHOUShike,WEI Zedian,DENG Hongwen,et al.A study on Pa-leogene tectonic sequences in Bozhong sag[J].China Off-shore Oil and Gas,2006,18(4):236-240.]第1期黄众,等:渤中凹陷西斜坡BZ3-8区块东营组东二下高分辨率井震层序及地震沉积学
[15]林畅松,潘元林,肖建新,等.中国东部中新生代断陷盆地幕式裂陷过程的动力学响应和模拟模型[J].地球科学———中国地质大学学报,2004,29(5):583-588.[LIN Chang-song,PAN Yuanlin,XIAO Jianxin,et al.Episodic riftingdynamic process and quantitative model of Mesozoic-Cenozoicfaulted basins in eastern China[J].Earth Science-Journal ofChina University of Geosciences,2004,.29(5):583-588.]
[16]张建宁,于建国.地震属性应用中的不确定性分析[J].石油物探,2006,45(4):373-379.[ZHANG Jianning,YU Jian-guo.The indetermination analysis on the seismic attributeapplication[J].Geophysical Prospecting for Petroleum,2006,45(4):373-379.]
[17]徐刚,张建宁,谭明友.BP人工神经网络在济阳拗陷圈闭地质评价中的应用[J].石油地球物理勘探,2004,39(5):565-569.[XU Gang,ZHANG Jianning,TAN Mingyou.Applica-tion of BP artificial neural network to geologic appreciation oftraps in Jiyang depression[J].Oil Geophysical Prospecting,2004,39(5):565-569.]
[18]贺铎华.BP神经网络识别塔北低阻油气层[J].物探与化探,2002,26(2):122-125.[HE Zhehua.The Application of BPneural network to recognition of the Tabei low resistivity oiland gas layers[J].Geophysical and Geochemical Exploration,2002,26(2):122-125.]
[19]田景文,高美娟.人工神经网络算法研究及应用[M].北京:北京理工大学出版社,2006:35-38.[TIAN Jingwen,GAOMeijuan.The research and application of artificial neural net-work[M].Beijing:Beijing Institute of Technology Press,2006:35-38.]
[20]Wornardt W W,Vail P R.Systems tracts:variations inthickness and lithofacies with paleobathymetry[J].AAPGBulletin,1991,75(9):1544-1544.
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