渤海海域中生界火成岩岩性测井识别技术及应用
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摘要
渤海海域中生界火成岩具有岩石类型多样,岩石结构复杂的特点,识别难度较大。钻井统计表明,研究区中生界以中基性喷出岩和酸性侵入岩为主,综合地质学分类以及测井响应特征,建立了研究区火成岩"成分-结构-构造"三端元分类方案,并提出了岩石成分、结构、构造单因素并行识别,综合命名的识别思路:成分上,由基性岩到酸性岩,元素测井上表现为由高铁低硅向高硅低铁变化,伽马能谱上铀、钍、钾以及总的自然伽马均不断升高,常规测井上酸性岩具有高伽马低密度的特点,基性岩与之相反;结构上,常规测井资料可初步判别岩石结构,成像测井可对熔岩结构、角砾结构、凝灰结构以及岩石蚀变结构进行精细识别;成像测井上可识别出块状构造、似流动构造以及气孔、杏仁构造,对有效判别侵入岩与喷出岩具有重要指示意义。利用该方法对重点井进行了分析,识别结果与壁心薄片鉴定结果一致,说明效果可靠。
With complex lithologic characters and structures,the Mesozoic igneous rocks of Bohai Sea area are difficult to identify.The result of drilling shows that middle and basic volcanic rocks and acid intrusive rocks are the main rock types of the study area.With reference to the geologic classification and well-logging response characteristics,the classification scheme of "composition-texture-structure" was built and a parallel recognition of single factor and comprehensive naming was put forward.From basic rocks to acid rocks,total silicon content rises and total iron content reduces in the data of elemental logging,while the U,Th,K and the total natural gamma all increase in the data of gamma ray spectrometry log.In contrast,the density rises and the gamma reduces in the data of conventional logging.Hence,the texture of the rocks can be identified by conventional logging,lava structure,brecciated structure,tuff structure and alteration structure and can be identified accurately by the data of imaging logging.The block structure,flow structure,vesicular structure and amygdaloidal structure identified by the data of imaging logging can be used to divide the vocalic rocks and the intrusive rocks.The key wells were analyzed with the method and the identified results were in accordance with the data of rock section.This shows the identification is effective and reliable.
With complex lithologic characters and structures,the Mesozoic igneous rocks of Bohai Sea area are difficult to identify.The result of drilling shows that middle and basic volcanic rocks and acid intrusive rocks are the main rock types of the study area.With reference to the geologic classification and well-logging response characteristics,the classification scheme of "composition-texture-structure" was built and a parallel recognition of single factor and comprehensive naming was put forward.From basic rocks to acid rocks,total silicon content rises and total iron content reduces in the data of elemental logging,while the U,Th,K and the total natural gamma all increase in the data of gamma ray spectrometry log.In contrast,the density rises and the gamma reduces in the data of conventional logging.Hence,the texture of the rocks can be identified by conventional logging,lava structure,brecciated structure,tuff structure and alteration structure and can be identified accurately by the data of imaging logging.The block structure,flow structure,vesicular structure and amygdaloidal structure identified by the data of imaging logging can be used to divide the vocalic rocks and the intrusive rocks.The key wells were analyzed with the method and the identified results were in accordance with the data of rock section.This shows the identification is effective and reliable.
引文
[1]Chen Zhenyan,Yan Huo,Li Junsheng,et al.Relationship between tertiary volcanic rocks and hydrocarbons in the Liaohe Basin,People’s Republic of China[J].AAPG Bellutin,1999,83(6):1004-1014.
[2]Rohrman M.Hydrocarbon potential of volcanic basins:Principles and rules of thumb,hydrocarbons in crystalline rocks[J].Geol.Soc.Lon.Spec.Publ.,2003,214:7-33.
[3]Feng Zhiqiang.Volcanic rocks as prolific gas reservoir:A case study from the Qingshen Gasfield in the Songliao Basin,NE China[J].Marine and Petroleum Geology,2008,25:416-432.
[4]Levin L E.Volcanogenic and volcaniclastic reservoir rocks in Mesozoic-Cenozoic island arcs:Examples from the Caucasus and the NW Pacific[J].Journal of Petroleum Geology,1995,18(3):267-288.
[5]Steward S A.Mid-Jurassic volcanic structures in the Outer Moray Firth Basin,UK[J].Journal of the Geological Society,1999,156:487-499.
[6]寇彧,师永民,李柏任,等.克拉美丽气田石炭系火山岩复杂岩性岩电特征[J].岩石学报,2010,26(1):291-300.
[7]张建民,李超炜,张继业,等.长深1井区火成岩岩性识别方法及应用[J].吉林大学学报:自然科学版,2008,38(增刊):106-109.
[8]张莹,潘保芝.多种岩性分类方法在火山岩岩性识别中的应用[J].测井技术,2011,35(5):474-478.
[9]张莹,潘保芝.基于主成分分析的SOM神经网络在火山岩岩性识别中的应用[J].测井技术,2009,33(6):550-554.
[10]Huang Bu zhou,Pan Baozhi.Characteristics of log responses and lithology determination o f igneous rock reservoirs[J].Journal of Geophysical Exploration,2004(1):51-55.
[11]潘保芝,李舟波,付有升,等.测井资料在松辽盆地火成岩岩性识别和储层评价中的应用[J].石油物探,2009,48(1):48-56.
[12]姚瑞士,王璞珺,宋立忠,等.松辽盆地营城组火山岩孔隙与裂缝的成像测井研究[J].地球物理学进展,2011,26(6):2122-2131.
[13]Pal A,Machin N,Sinha S,et al.Application of borehole images for the evaluation of volcanic reservoirs:A case study from the Deccan volcanic Cambay Basin India[J].AAPG Bulletin,2007,83(6):1-4.
[14]杨英波,周娟,于洪新,等.ECS测井在火山岩储层岩性研究中的应用[J].国外测井技术,2011,183(3):32-35.
[2]Rohrman M.Hydrocarbon potential of volcanic basins:Principles and rules of thumb,hydrocarbons in crystalline rocks[J].Geol.Soc.Lon.Spec.Publ.,2003,214:7-33.
[3]Feng Zhiqiang.Volcanic rocks as prolific gas reservoir:A case study from the Qingshen Gasfield in the Songliao Basin,NE China[J].Marine and Petroleum Geology,2008,25:416-432.
[4]Levin L E.Volcanogenic and volcaniclastic reservoir rocks in Mesozoic-Cenozoic island arcs:Examples from the Caucasus and the NW Pacific[J].Journal of Petroleum Geology,1995,18(3):267-288.
[5]Steward S A.Mid-Jurassic volcanic structures in the Outer Moray Firth Basin,UK[J].Journal of the Geological Society,1999,156:487-499.
[6]寇彧,师永民,李柏任,等.克拉美丽气田石炭系火山岩复杂岩性岩电特征[J].岩石学报,2010,26(1):291-300.
[7]张建民,李超炜,张继业,等.长深1井区火成岩岩性识别方法及应用[J].吉林大学学报:自然科学版,2008,38(增刊):106-109.
[8]张莹,潘保芝.多种岩性分类方法在火山岩岩性识别中的应用[J].测井技术,2011,35(5):474-478.
[9]张莹,潘保芝.基于主成分分析的SOM神经网络在火山岩岩性识别中的应用[J].测井技术,2009,33(6):550-554.
[10]Huang Bu zhou,Pan Baozhi.Characteristics of log responses and lithology determination o f igneous rock reservoirs[J].Journal of Geophysical Exploration,2004(1):51-55.
[11]潘保芝,李舟波,付有升,等.测井资料在松辽盆地火成岩岩性识别和储层评价中的应用[J].石油物探,2009,48(1):48-56.
[12]姚瑞士,王璞珺,宋立忠,等.松辽盆地营城组火山岩孔隙与裂缝的成像测井研究[J].地球物理学进展,2011,26(6):2122-2131.
[13]Pal A,Machin N,Sinha S,et al.Application of borehole images for the evaluation of volcanic reservoirs:A case study from the Deccan volcanic Cambay Basin India[J].AAPG Bulletin,2007,83(6):1-4.
[14]杨英波,周娟,于洪新,等.ECS测井在火山岩储层岩性研究中的应用[J].国外测井技术,2011,183(3):32-35.