徐深气田徐深9井区火山岩气藏有效储层识别方法
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摘要
针对火山岩储层岩性复杂、非均质性强、有效储层预测难度大的特点,本文以徐深气田南部徐深9井区为例,根据录井、测井、岩心观察和薄片鉴定,分析该区营一段火山岩储层特征。通过常规测井与测试资料的分析,建立了以声波、密度、中子为基本特征参数,自然伽马、电阻率、成像测井响应为约束条件的有效储层测井识别与评价标准。根据已钻井有效储层的地震响应特征,利用振幅、频率、相位、相干等属性特征对有效储层与裂缝分布进行定性预测。通过开展叠后常规波阻抗反演与叠前同时反演,建立火山岩有效储层地球物理评价标准,对有效储层类别进行划分,实现火山岩有效储层的定量评价。实际应用表明,应用此法可为徐深9井区火山岩气藏开发方案制定和实施提供可靠依据。
Regarding some characteristics of the volcanic reservoir in Xushen gas field,such as complex lithology,strong heterogeneity and difficulty in predicting effective reservoir,the reservoir characteristics of the volcanic rock in Ying-1 Formation in this area were analyzed in this paper based on mud logging,well logging,core observation and thin slice identification. Through analysis of routine well logging and testing data,an effective reservoir well logging identification and evaluation workflow was established,in which sonic data,density data and neutron logging data were used as basic characteristic parameters,and natural gamma,resistivity,imaging logging response were used as constraint conditions. Based on the seismic response characteristics of the effective reservoir of the drilled well,some attributes,such as amplitude,frequency,phase,coherence,and so on were used to qualitatively predict the effective reservoir and fracture distribution. By conducting routine post-stack wave impedance inversion and pre-stack inversion,geophysical evaluation standard for effective volcanic reservoir was established,quantitative evaluation for effective volcanic reservoir was realized. The field applications show that the workflow described above provided a reliable basis for the formulation and implementation of the development plan for volcanic gas field in Xushen-9 well block.
Regarding some characteristics of the volcanic reservoir in Xushen gas field,such as complex lithology,strong heterogeneity and difficulty in predicting effective reservoir,the reservoir characteristics of the volcanic rock in Ying-1 Formation in this area were analyzed in this paper based on mud logging,well logging,core observation and thin slice identification. Through analysis of routine well logging and testing data,an effective reservoir well logging identification and evaluation workflow was established,in which sonic data,density data and neutron logging data were used as basic characteristic parameters,and natural gamma,resistivity,imaging logging response were used as constraint conditions. Based on the seismic response characteristics of the effective reservoir of the drilled well,some attributes,such as amplitude,frequency,phase,coherence,and so on were used to qualitatively predict the effective reservoir and fracture distribution. By conducting routine post-stack wave impedance inversion and pre-stack inversion,geophysical evaluation standard for effective volcanic reservoir was established,quantitative evaluation for effective volcanic reservoir was realized. The field applications show that the workflow described above provided a reliable basis for the formulation and implementation of the development plan for volcanic gas field in Xushen-9 well block.
引文
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[11]王拥军,周雪峰,吴海忠等.火山岩岩性识别新技术.断块油气田,2006,13(3):86～88
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[14]杨辉,张研,邹才能等.松辽盆地深层火山岩天然气勘探方向.石油勘探与开发,2006,33(3):274～281
[15]李明,邹才能,刘晓.松辽盆地北部深层火山岩气藏识别与预测技术.石油地球物理勘探,2005,40(6):663～669
[2]赵文智,邹才能,冯志强等.松辽盆地深层火山岩气藏地质特征及评价技术.石油勘探与开发,2008,16(2):126～135
[3]王玲,张研,杨辉,戴晓峰等.松辽盆地徐家围子断陷火山岩勘探面临的问题及对策.刘光鼎院士80华诞论文集.北京:海淀出版社,2008,12
[4]刘万洙,王璞珺,门广田.松辽盆地北部深层火山岩储层特征.石油与天然气地质,2003,3(1):28～32
[5]王玲,靳久强,张研.松辽盆地徐家围子断陷营城组一段、三段火山岩喷发期次划分及意义.中国石油勘探,2009,14(1):17～26
[6]王玲,孙夕平,张研.松辽盆地深层断裂体系对火山岩成因和火山岩相带的控制.天然气地球科学.2007,18(3),389～393
[7]王璞君,迟元林,刘万洙等.松辽盆地火山岩相:类型、特征和储层意义.吉林大学学报(地球科学版),2003,33(4):449～456
[8]宋维海,王璞珺,蒙启安等.松辽盆地中生代火山岩油气藏特征.石油与天然气地质,2003,24(1):12～17
[9]陈建文,魏斌,李长山等.火山岩岩性的测井识别.地学前缘,2000,7(4):458
[10]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.石油学报,2003,24(1):31～39.
[11]王拥军,周雪峰,吴海忠等.火山岩岩性识别新技术.断块油气田,2006,13(3):86～88
[12]周波,李舟波,潘保芝等.火山岩岩性识别方法研究.吉林大学学报(地球科学版),2005,35(3):394～397
[13]王玲,张研,杨辉等.火山岩天然气藏评价技术应用现状与发展趋势.石油地球物理勘探,2008,43(5):540～548
[14]杨辉,张研,邹才能等.松辽盆地深层火山岩天然气勘探方向.石油勘探与开发,2006,33(3):274～281
[15]李明,邹才能,刘晓.松辽盆地北部深层火山岩气藏识别与预测技术.石油地球物理勘探,2005,40(6):663～669
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