四川盆地二叠系基性火山岩测井评价技术——以永探1井区火山岩为例
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摘要
为了快速、准确、高效的评价四川盆地川西地区二叠系火山岩的岩性,综合运用岩心、薄片、常规测井、元素扫描测井和成像测井等资料,开展了火山岩岩性识别、储层参数建模和流体性质判别等方面的研究。研究结果表明:①永探1井整体以基性火山岩为主,放射性低,结合岩心和测井分析结果,将岩性主要划分为玄武岩、含角砾凝灰熔岩和角砾熔岩;②永探1井自下而上可划分出3个次级喷发旋回,测试获气井段岩性主要为含角砾凝灰熔岩,寻找规模优质喷溢相含角砾凝灰熔岩储层是四川盆地火山岩气藏下一步勘探的重点;③永探1井整体表现出高孔隙度低渗透率特征,采用变密度骨架和变声波时差交会法计算的孔隙度与岩心孔隙度吻合度最好;④受多种因素的影响,电阻率法对火山岩流体识别难度大,利用非电法的热中子宏观俘获截面和泊松比法在该井流体判别中应用效果良好;⑤推广测井新技术应用,取全取准测井资料是该盆地下一步火山岩勘探取得进展的重要保障。
In order to determine the lithology of Permian volcanic rocks in the western Sichuan Basin quickly, accurately and efficiently,a series of studies were carried out from the aspects of volcanic lithology identification, reservoir parameter modeling and fluid property discrimination by using core, thin section, conventional logging, elemental scanning logging and image logging data comprehensively. And the following research results were obtained.(1) The Well Yongtan 1 is mainly dominated by basic volcanic rocks with low radioactivity and its lithology can be divided to basalt, breccia-bearing tuff lava and breccia lava according to core analysis and well logging.(2) The Well Yongtan 1 can be divided into three secondary eruptive cycles. The lithology of gas-bearing tested is mainly breccia tufa lava, so as to the key point of volcanic rock further exploration in the Sichuan Basin.(3) The Well Yongtan 1 is characterized by high porosity and low permeability. The porosity calculated by the method of variable density skeleton and variable acoustic time intersection agrees well with the core porosity.(4) Affected by many factors, the volcanic fluids are difficult to identify by only use of the resistivity method so that the macroscopic capture cross section of thermal neutron and Poisson's ratio method are applied effectively in fluid property identification in the Well Yongtan 1.(5) It is an important guarantee for volcanic rock exploration and geological understanding to popularize the application of new logging technology and obtain all accurate logging data in this basin.
In order to determine the lithology of Permian volcanic rocks in the western Sichuan Basin quickly, accurately and efficiently,a series of studies were carried out from the aspects of volcanic lithology identification, reservoir parameter modeling and fluid property discrimination by using core, thin section, conventional logging, elemental scanning logging and image logging data comprehensively. And the following research results were obtained.(1) The Well Yongtan 1 is mainly dominated by basic volcanic rocks with low radioactivity and its lithology can be divided to basalt, breccia-bearing tuff lava and breccia lava according to core analysis and well logging.(2) The Well Yongtan 1 can be divided into three secondary eruptive cycles. The lithology of gas-bearing tested is mainly breccia tufa lava, so as to the key point of volcanic rock further exploration in the Sichuan Basin.(3) The Well Yongtan 1 is characterized by high porosity and low permeability. The porosity calculated by the method of variable density skeleton and variable acoustic time intersection agrees well with the core porosity.(4) Affected by many factors, the volcanic fluids are difficult to identify by only use of the resistivity method so that the macroscopic capture cross section of thermal neutron and Poisson's ratio method are applied effectively in fluid property identification in the Well Yongtan 1.(5) It is an important guarantee for volcanic rock exploration and geological understanding to popularize the application of new logging technology and obtain all accurate logging data in this basin.
引文
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[10]何斌,徐义刚,肖龙,王康明,沙绍礼.峨眉山大火成岩省的形成机制及空间展布:来自沉积地层学的新证据[J].地质学报,2003,77(2):194-202.He Bin,Xu Yigang,Xiao Long,Wang Kangming&Sha Shaoli.Generation and spatial distribution of the Emeishan large igneous province:New evidence from stratigraphic records[J].Acta Geologica Sinica,2003,77(2):194-202.
[11]魏国,张审琴,侯淞译.岩性扫描测井技术在青海油田的应用[J].测井技术,2015,39(2):213-216.Wei Guo,Zhang Shenqin,Hou Songyi.Application of lithoscanner logging technology in Qinghai Oilfield[J].Well Logging Technology,2015,39(2):213-216.
[12]赵军,杨阳,陈伟中,李进福.基于ECS测井的岩性识别方法[J].地球物理学进展,2015,30(5):2342-2348.Zhao Jun,Yang Yang,Chen Weizhong&Li Jinfu.New method for well logging lithologic identification based on elemental capture spectroscopy[J].Progress in Geophysics,2015,30(5):2342-2348.
[13]Charsky A&Herron S.Accurate,direct total organic carbon(TOC)log from a new advanced geochemical spectroscopy tool:Comparison with conventional approaches for TOC estimation[C]//2013 AAPG Annual Conference and Exhibition,19-22May 2013,Pittsburgh,Pennsylvania,USA.
[14]Grau JA,Schweitzer JS,Ellis DV&Hertzog RC.A geological model for gamma-ray spectroscopy logging measurements[J].Nuclear Geophysics,1989,3(4):351-359.
[15]叶涛,韦阿娟,高坤顺,吴庆勋,赵弟江.渤海海域中生界火山岩测井-地质岩性综合识别方法[J].中国海上油气,2016,28(1):48-53.Ye Tao,Wei Ajuan,Gao Kunshun,Wu Qingxun&Zhao Dijiang.Lithology comprehensive identification method with logging-geology data of Mesozoic volcanic rocks in Bohai Sea[J].China Offshore Oil and Gas,2016,28(1):48-53.
[16]吴颜雄,王璞珺,边伟华,高有峰,郎元强.松辽盆地深层火山岩储层测井响应及地质解译[J].吉林大学学报(地球科学版),2012,42(6):1927-1934.Wu Yanxiong,Wang Pujun,Bian Weihua,Gao Youfeng&Lang Yuanqiang.Log responses and its corresponding geological interpretation of deep volcanic reservoir in Songliao Basin[J].Journal of Jilin University(Earth Science Edition),2012,42(6):1927-1934.
[17]张大权,邹妞妞,姜杨,马崇尧,张顺存,杜社宽.火山岩岩性测井识别方法研究--以准噶尔盆地火山岩为例[J].岩性油气藏,2015,27(1):108-113.Zhang Daquan,Zou Niuniu,Jiang Yang,Ma Chongyao,Zhang Shuncun&Du Shekuan.Logging identification method of volcanic rock lithology:A case study from volcanic rock in Junggar Basin[J].Lithologic Reservoirs,2015,27(1):108-113.
[18]罗静兰,邵红梅,张成立.火山岩油气藏研究方法与勘探技术综述[J].石油学报,2003,24(1):31-38.Luo Jinglan,Shao Hongmei&Zhang Chengli.Summary of research methods and exploration technologies for volcanic reservoirs[J].Acta Petrolei Sinica,2003,24(1):31-38.
[19]张莹,潘保芝,印长海,王鹏,刘传平,李宏娟.成像测井图像在火山岩岩性识别中的应用[J].石油物探,2007,46(3):288-293.Zhang Ying,Pan Baozhi,Yin Changhai,Wang Peng,Liu Chuanping&Li Hongjuan.Application of imaging logging maps in lithologic identification of volcanics[J].Geophysical Prospecting for Petroleum,2007,46(3):288-293.
[20]陈钢花,吴文圣,毛克宇.利用地层微电阻率扫描图像识别岩性[J].石油勘探与开发,2001,28(2):53-55.Chen Ganghua,Wu Wensheng&Mao Keyu.Identifying formation lithology using formation microscanner images[J].Petroleum Exploration and Development,2001,28(2):53-55.
[2]张福明,侯颖,朱明,崔文宁,胡婷婷,陈国军,等.火山岩储层测井评价技术现状及发展趋势[J].地球物理学进展,2016,31(4):1732-1751.Zhang Fuming,Hou Ying,Zhu Ming,Cui Wenning,Hu Tingting,Chen Guojun,et al.Present situation and development trend prospect in volcanic reservoir evaluation based on well logging data[J].Progress in Geophysics,2016,31(4):1732-1751.
[3]李宁,乔德新,李庆峰,武宏亮,付有升,董丽欣,等.火山岩测井解释理论与应用[J].石油勘探与开发,2009,36(6):683-692.Li Ning,Qiao Dexin,Li Qingfeng,Wu Hongliang,Fu Yousheng,Dong Lixin,et al.Theory on logging interpretation of igneous rocks and its application[J].Petroleum Exploration and Development,2009,36(6):683-692.
[4]李静.中拐凸起石炭系低放射性火成岩岩性测井识别[J].新疆石油地质,2016,37(4):474-478.Li Jing.Lithology identification of carboniferous low-radioactivity igneous rocks by logging data in Zhongguai Swell,Junggar Basin[J].Xinjiang Petroleum Geology,2016,37(4):474-478.
[5]中国石油勘探与生产分公司.火山岩油气藏测井评价技术及应用[M].北京:石油工业出版社,2009:5-39.PetroChina Exploration&Production Company.The volcanic reservoir logging evaluation technology and application[M].Beijing:Petroleum Industry Press,2009:5-39.
[6]黄隆基,范宜仁.火山岩测井评价的地质和地球物理基础(Ⅰ)[J].测井技术,1997,21(5):341-344.Huang Longji&Fan Yiren.Geological and geophysical basis for studying igneous rock facies by logging method(Ⅰ)[J].Well Logging Technology,1997,21(5):341-344.
[7]杨毅,张本健,蒋德生,裴森奇,周子琰.四川盆地西南部上二叠统峨眉山玄武岩成藏模式初探[J].天然气工业,2010,30(5):46-49.Yang Yi,Zhang Benjian,Jiang Desheng,Pei Senqi&Zhou Ziyan.A preliminary study on hydrocarbon pooling patterns of the Upper Permian Emeishan basalts in southwestern Sichuan Basin[J].Natural Gas Industry,2010,30(5):46-49.
[8]冯仁蔚,王兴志,张帆,杨跃明,李跃纲,庞艳君,等.四川西南部周公山及邻区“峨眉山玄武岩”特征及储集性能研究[J].沉积学报,2008,26(6):913-924.Feng Renwei,Wang Xingzhi,Zhang Fan,Yang Yueming,Li Yuegang,Pang Yanjun,et al.The study on reservoir property and characteristics of the Emeishan Basalts of Zhougongshan and its neighbor area in the Southwest Sichuan[J].Acta Sedimentologica Sinica,2008,26(6):913-924.
[9]邓敏,侯明才,张本健,李秀华.川西南部周公山地区峨眉山玄武岩有利储层分析[J].中国地质,2014,41(2):378-386.Deng Min,Hou Mingcai,Zhang Benjian&Li Xiuhua.Favorable reservoir analysis of Emeishan Basalt in Zhougongshan area of Southwest Sichuan Province[J].Geology in China,2014,41(2):378-386.
[10]何斌,徐义刚,肖龙,王康明,沙绍礼.峨眉山大火成岩省的形成机制及空间展布:来自沉积地层学的新证据[J].地质学报,2003,77(2):194-202.He Bin,Xu Yigang,Xiao Long,Wang Kangming&Sha Shaoli.Generation and spatial distribution of the Emeishan large igneous province:New evidence from stratigraphic records[J].Acta Geologica Sinica,2003,77(2):194-202.
[11]魏国,张审琴,侯淞译.岩性扫描测井技术在青海油田的应用[J].测井技术,2015,39(2):213-216.Wei Guo,Zhang Shenqin,Hou Songyi.Application of lithoscanner logging technology in Qinghai Oilfield[J].Well Logging Technology,2015,39(2):213-216.
[12]赵军,杨阳,陈伟中,李进福.基于ECS测井的岩性识别方法[J].地球物理学进展,2015,30(5):2342-2348.Zhao Jun,Yang Yang,Chen Weizhong&Li Jinfu.New method for well logging lithologic identification based on elemental capture spectroscopy[J].Progress in Geophysics,2015,30(5):2342-2348.
[13]Charsky A&Herron S.Accurate,direct total organic carbon(TOC)log from a new advanced geochemical spectroscopy tool:Comparison with conventional approaches for TOC estimation[C]//2013 AAPG Annual Conference and Exhibition,19-22May 2013,Pittsburgh,Pennsylvania,USA.
[14]Grau JA,Schweitzer JS,Ellis DV&Hertzog RC.A geological model for gamma-ray spectroscopy logging measurements[J].Nuclear Geophysics,1989,3(4):351-359.
[15]叶涛,韦阿娟,高坤顺,吴庆勋,赵弟江.渤海海域中生界火山岩测井-地质岩性综合识别方法[J].中国海上油气,2016,28(1):48-53.Ye Tao,Wei Ajuan,Gao Kunshun,Wu Qingxun&Zhao Dijiang.Lithology comprehensive identification method with logging-geology data of Mesozoic volcanic rocks in Bohai Sea[J].China Offshore Oil and Gas,2016,28(1):48-53.
[16]吴颜雄,王璞珺,边伟华,高有峰,郎元强.松辽盆地深层火山岩储层测井响应及地质解译[J].吉林大学学报(地球科学版),2012,42(6):1927-1934.Wu Yanxiong,Wang Pujun,Bian Weihua,Gao Youfeng&Lang Yuanqiang.Log responses and its corresponding geological interpretation of deep volcanic reservoir in Songliao Basin[J].Journal of Jilin University(Earth Science Edition),2012,42(6):1927-1934.
[17]张大权,邹妞妞,姜杨,马崇尧,张顺存,杜社宽.火山岩岩性测井识别方法研究--以准噶尔盆地火山岩为例[J].岩性油气藏,2015,27(1):108-113.Zhang Daquan,Zou Niuniu,Jiang Yang,Ma Chongyao,Zhang Shuncun&Du Shekuan.Logging identification method of volcanic rock lithology:A case study from volcanic rock in Junggar Basin[J].Lithologic Reservoirs,2015,27(1):108-113.
[18]罗静兰,邵红梅,张成立.火山岩油气藏研究方法与勘探技术综述[J].石油学报,2003,24(1):31-38.Luo Jinglan,Shao Hongmei&Zhang Chengli.Summary of research methods and exploration technologies for volcanic reservoirs[J].Acta Petrolei Sinica,2003,24(1):31-38.
[19]张莹,潘保芝,印长海,王鹏,刘传平,李宏娟.成像测井图像在火山岩岩性识别中的应用[J].石油物探,2007,46(3):288-293.Zhang Ying,Pan Baozhi,Yin Changhai,Wang Peng,Liu Chuanping&Li Hongjuan.Application of imaging logging maps in lithologic identification of volcanics[J].Geophysical Prospecting for Petroleum,2007,46(3):288-293.
[20]陈钢花,吴文圣,毛克宇.利用地层微电阻率扫描图像识别岩性[J].石油勘探与开发,2001,28(2):53-55.Chen Ganghua,Wu Wensheng&Mao Keyu.Identifying formation lithology using formation microscanner images[J].Petroleum Exploration and Development,2001,28(2):53-55.