腰英台油田青山口组沉积特征与储层预测
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摘要
文中通过沉积相分析、地震属性优选及测井约束反演,分析了腰英台油田青山口组三角洲砂体的展布规律,得出以下认识:①砂泥岩总体呈薄互层分布,有利储集相带为青二段下部的三角洲前缘细—中砂,其次为青一段中部的破坏性三角洲席状浅滩砂,曲流河点坝砂体和决口河道砂体,平面上规模小,孤立分布;②由于泥岩含钙质,导致泥岩与砂岩的速度、自然伽马、电阻率等值接近,除自然电位测井外,其他测井系列对砂岩的识别效果不好,振幅类、波阻抗等地震属性也无法识别砂体;③砂岩发育指数可以较好地反映砂岩发育程度,振幅加速度属性能有效地反映不同微相骨架砂体展布,低加速度属性与井点高砂岩发育指数吻合较好,据此确定了青一段湖泊分布范围,识别出新的朵状腰西三角洲砂体。钻井验证其上发育厚约10m的河口坝和分流河道中—细砂岩,单井产量高于其他地区。
Based on sedimentary facies analysis,seismic attribute optimization and well logging constraint inversion,the distribution of delta sand body of Qingshankou Formation in Yaoyingtai Oilfield is indentified,and conclusions obtained in this paper are as follows: Firstly,Qingshankou Formation is thin sand-mud interbed in general.The most favourable reservoir is grained-middle delta front sandstone in lower part of the second member of Qingshankou Formation.Relatively favorable reservoirs are destroyed delta front sheet shape sand body,point bar sand body and crevasse channel sand body of the first Member of Qingshankou Formation.Secondly,because mudstone contains calcium,sandstone and mudstone has similar seismic velocity,natural gamma-ray value and resistivity value.The other log data,seismic amplitude and wave impedance attributes cannot be used to identify sandstone effectively except spontaneous potential logs.Lastly,sandstone growth index can effectively indicate the development of sandstone.The acceleration of amplitude is effectual in recognizing and predicting the sand body distribution of different sedimentary microfacies.The lower acceleration of amplitude value is in good agreement with higher sandstone growth index.Thus the ancient lake distribution of the first member of Qingshankou Formation was discriminated,and the lobe shape delta front sand body of the second member of Qingshankou Formation in west Yaoyingtai area was identified.The drilling proves that Qingshankou Formation in this area developed grained-middle mouth bar sand body and distributary channel sand body with thickness about 10 meters.An exploration well drilled in this target area gains higher commercial oil output than other areas.
Based on sedimentary facies analysis,seismic attribute optimization and well logging constraint inversion,the distribution of delta sand body of Qingshankou Formation in Yaoyingtai Oilfield is indentified,and conclusions obtained in this paper are as follows: Firstly,Qingshankou Formation is thin sand-mud interbed in general.The most favourable reservoir is grained-middle delta front sandstone in lower part of the second member of Qingshankou Formation.Relatively favorable reservoirs are destroyed delta front sheet shape sand body,point bar sand body and crevasse channel sand body of the first Member of Qingshankou Formation.Secondly,because mudstone contains calcium,sandstone and mudstone has similar seismic velocity,natural gamma-ray value and resistivity value.The other log data,seismic amplitude and wave impedance attributes cannot be used to identify sandstone effectively except spontaneous potential logs.Lastly,sandstone growth index can effectively indicate the development of sandstone.The acceleration of amplitude is effectual in recognizing and predicting the sand body distribution of different sedimentary microfacies.The lower acceleration of amplitude value is in good agreement with higher sandstone growth index.Thus the ancient lake distribution of the first member of Qingshankou Formation was discriminated,and the lobe shape delta front sand body of the second member of Qingshankou Formation in west Yaoyingtai area was identified.The drilling proves that Qingshankou Formation in this area developed grained-middle mouth bar sand body and distributary channel sand body with thickness about 10 meters.An exploration well drilled in this target area gains higher commercial oil output than other areas.
引文
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[14]Fayers FJ,Hewett T A.Areviewof current trendsin petroleum reservoir description and assessment ofthe i mpacts on oil recovery.Advances in Water Re-sources,1992,15(6):341～365
[15]Andy Canham,Julie Kupecz,Jon Gluyas et al.Reser-voir quality prediction in sandstones and carbonates:American Association of Petroleum GeologistsMemoir 69.Journal of Petroleum Science and Engi-neering,2001,30(3-4):260～261
[2]王永春.松辽盆地南部岩性油藏的形成和分布.北京:石油工业出版社,2001
[3]高瑞琪.松辽盆地白垩纪陆相沉积特征.地质学报,1980,56(1):9～21Gao Rui-qi.Characteristics of the continental Creta-ceous in the Songliao Basin.Acta Geological Sinica,1980,56(1):9～21
[4]张小莉,冯乔等.腰英台油田中—低孔隙度低渗透型储层测井评价.石油学报,2006,27(6):51～54Zhang Xiao-li,Feng Qiao et al.Well logging evalua-tion on reservoirs with middle-porosity and low-per-meability in Yaoyingtai Oilfield.Acta Petrolei Sini-ca,2006,27(6):51～54
[5]曹辉.关于地震属性应用的几点认识.勘探地球物理进展,2002,25(5):18～22Cao Hui.Discussion on the application of seismic at-tributes.Progress in Exploration Geophysics,2002,25(5):18～22
[6]杨占龙,彭立才,陈启林等.地震属性分析与岩性油气藏勘探.石油物探,2007,46(2):131～136Yang Zhan-long,Peng Li-cai,Chen Qi-lin et al.Seismic attributes analysis and lithological reservoirexploration.GPP,2007,46(2):131～136
[7]陈军,陈岩.地震属性分析在储层预测中的应用.石油物探,2001,40(3):94～99Chen Jun,Chen Yan.Application of seismic attributeanalysis in reservoir prediction.GPP,2001,40(3):94～99
[8]晁静.渤海湾盆地新北油田馆上段储层预测方法.石油天然气学报,2009,31(2):63～66Chao Jing.Techniques for forecasting the uppermember of Guantao formation of Xinbei oilfieldin Bo-hai wan basin.Journal of Oil and Gas Technology,2009,31(2):63～66
[9]王世瑞,王树平,狄帮让等.基于地震属性特征的河道砂体预测方法.石油地球物理勘探,2009,44(3):304～313Wang Shi-rui,Wang Shu-ping,Di Bang-rang et al.Prediction of channel sand body based on seismic at-tributes.OGP,2009,44(3):304～313
[10]张建宁,于建国.地震属性应用中的不确定性分析.石油物探,2006,45(4):373～408Zhang Jian-ning,Yu Jian-guo.The indeterminationanalysis on the seismic attribute application.GPP,2006,45(4):373～408
[11]印兴耀,周静毅.地震属性优化方法综述.石油地球物理勘探,2005,40(4):482～489Yin Xing-yao,Zhou Jing-yi.Summary of opti mummethods of seismic attributes.OGP,2005,40(4):482～489
[12]Hardage B A.三维地震在产气田河流相薄储层评价中的应用实例.勘探地球物理论文文摘,1995,18(4):82～83
[13]侯贵卿,孙萍.油气储层研究新动向.海洋石油,2000,20(1):8～14Hou Gui-qing,Sun Ping.New ways to study oil-gas reservoirs.Offshore Oil,2002,20(1):8～14
[14]Fayers FJ,Hewett T A.Areviewof current trendsin petroleum reservoir description and assessment ofthe i mpacts on oil recovery.Advances in Water Re-sources,1992,15(6):341～365
[15]Andy Canham,Julie Kupecz,Jon Gluyas et al.Reser-voir quality prediction in sandstones and carbonates:American Association of Petroleum GeologistsMemoir 69.Journal of Petroleum Science and Engi-neering,2001,30(3-4):260～261
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