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引用本文:国瑞,侯贺晟,符伟,杨瑨,冯晅,卢占武,周怀来. 松科二井深地震反射数据Q值分析及其对含气层位的确定[J]. 中国地质, 2019, 46(5): 1137-1145.
GUO Rui,HOU Hesheng,FU Wei,YANG Jin,FENG Xuan,LU Zhanwu,ZHOU Huailai. Q value analysis of deep seismic reflection data of Well SK-2 and its determination of gas-bearing stratum[J]. Geology in China, 2019, 46(5): 1137-1145(in Chinese with English abstract).
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松科二井深地震反射数据Q值分析及其对含气层位的确定
国瑞1, 侯贺晟1,2, 符伟1, 杨瑨1, 冯晅3, 卢占武2, 周怀来4,5
1.中国地质科学院, 北京 100037;2.自然资源部深地动力学重点实验室, 中国地质科学院地质研究所, 北京 100037;3.吉林大学地球探测科学与技术学院, 吉林 长春 130026;4.成都理工大学地球物理学院, 四川 成都 610059;5.油气藏地质及开发工程国家重点实验室, 四川 成都 610059
摘要:
地震波在地下介质中传播时,地震波能量会出现一定程度的衰减,品质因子Q作为衡量地下岩石吸收衰减属性的重要参数,对描述岩性特征以及预测油气分布具有重要意义。本文针对深地震反射数据,利用基于S变换谱比法的Q值分析技术,获得了更加准确的Q值。以松辽盆地沙河子组为主要目标层,对穿过松科二井的叠后深地震反射剖面进行Q值计算,生成Q值剖面,总结出沙河子组Q值分布特征,同时结合松科二井测井、分层和气测异常资料进行分析,推断沙河子组为含气储层,为下一步深部储层预测提供思路,为东北地区深地勘查工程提供服务。
关键词:  松科二井  品质因子Q  谱比法S变换  深地震反射剖面  含气储层  深地勘查工程
DOI:10.12029/gc20190514
分类号:P631.4+4;P618.13
基金项目:中国地质调查局项目(DD20160207,DD20190010)、国家自然基金项目(41474081,41430213,41590863)及自然资源部深地动力学重点实验室自主研究课题(J1901-3)联合资助。
Q value analysis of deep seismic reflection data of Well SK-2 and its determination of gas-bearing stratum
GUO Rui1, HOU Hesheng1,2, FU Wei1, YANG Jin1, FENG Xuan3, LU Zhanwu2, ZHOU Huailai4,5
1.Chinese Academy of Geological Sciences, Beijing 100037, China;2.Key Laboratory of Deep-Earth Dynamics of Ministry of Natural Resources, Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, China;3.College of Geoexploration Science and Technology, Jilin University, Changchun 130026, Jilin, China;4.College of Geophysics, Chengdu University of Technology, Chengdu 610059, Sichuan, China;5.State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, Sichuan, China
Abstract:
When the seismic wave propagates in the underground media, the seismic wave energy will show a certain degree of attenuation. The quality factor Q is an important parameter for measuring the absorption and attenuation properties of the underground rock, and is of great significance for describing the lithological characteristics and predicting the oil and gas distribution. In this paper, the Q value analysis technique based on S transformation ratio method for deep seismic reflection data was developed, and the more accurate Q value was obtained. Taking the Shahezi Formation in the Songliao Basin as the main target layer, the authors calculated the Q value of the post-stack deep seismic reflection profile across Well SK-2, and then generated the Q value profile to summarize Q value distribution characteristics of the Shahezi Formation. The Q value distribution characteristics, combined with the logging, stratification and gas anomaly data of Well SK-2, suggest that the Shahezi Formation is a gas reservoir, and this discovery provides a way for the next deep reservoir prediction. This conclusion provides an idea for the further deep reservoir prediction and can serve the deep geological survey project in Northeast China.
Key words:  Well SK-2  quality factor Q  S transform spectral ratio method  deep seismic reflection profiles  gas reservoir  deep exploration engineering