逄硕^1,,
刘财¹,
郭智奇^1,,,
刘喜武^2,3,4,
刘宇巍^2,3,4
1. 吉林大学地球探测科学与技术学院, 长春 130026
2. 页岩油气富集机理与有效开发国家重点实验室, 北京 100083
3. 中国石化页岩油气勘探开发重点实验室, 北京 100083
4. 中国石化石油勘探开发研究院, 北京 100083

基金项目: 国家自然科学基金重点项目（41430322）、国家十三五重大专项"陆相页岩油甜点地球物理识别与预测方法"课题（2017ZX05049-002）、国家自然科学基金石油化工联合基金（U1663207）和吉林大学研究生创新基金资助项目（2017178）联合资助


详细信息

作者简介: 逄硕, 女, 1991年生, 博士研究生, 主要从事岩石物理、地震各向异性、储层描述与预测等研究.E-mail:pangshuo15@mails.jlu.edu.cn

通讯作者: 郭智奇, 男, 1980年生, 博士, 教授, 博士生导师, 主要从事岩石物理、地震各向异性正反演、油气储层预测等研究.E-mail:guozhiqi@jlu.edu.cn

中图分类号: P631

收稿日期:2017-08-30
修回日期:2018-06-09
上线日期:2018-11-05

Gas identification of shale reservoirs based on frequency-dependent AVO inversion of seismic data

PANG Shuo^1,,
LIU Cai¹,
GUO ZhiQi^1,,,
LIU XiWu^2,3,4,
LIU YuWei^2,3,4
1. Geo-Exploration Science and Technology Institute, Jilin University, Changchun 130026, China
2. State Key Laboratory of Shale Oil and Gas Enrichment Mechanism and Effective Development, Beijing 100083, China
3. SinoPEC Key Laboratory of Shale Oil/Gas Exploration and Production Technology, Beijing 100083, China
4. SinoPEC Petroleum Exploration and Production Research Institute, Beijing 100083, China


More Information

Corresponding author: GUO ZhiQi,E-mail:guozhiqi@jlu.edu.cn

MSC: P631

--> Received Date: 30 August 2017
Revised Date: 09 June 2018
Available Online: 05 November 2018


摘要
摘要:结合地震岩石物理技术，研究了叠前频变AVO反演在四川盆地龙马溪组页岩储层含气性识别中的应用.首先，应用Backus平均理论将测井数据粗化为地震尺度储层模型，应用传播矩阵理论进行高精度地震正演及井震标定，分析页岩气储层地震响应特征.其次，基于岩心观测结果，应用Chapman多尺度裂缝理论设计页岩气储层理论模型，研究储层衰减、频散以及对应的地震反射特征.应用该理论模型测试频变AVO反演方法，计算结果表明：对于研究区地层结构和地震数据，区分流体类型的优势频率不是地震子波的主频，还受层间调谐干涉等储层结构因素控制，也进一步说明理论模型测试和标定的重要性.最后，将频变AVO反演技术应用到四川盆地龙马溪组页岩地层，计算得到的频散属性为页岩气储层含气性识别提供依据.
关键词: 频变AVO/
页岩/
含气性识别/
岩石物理/
频散属性

Abstract:Combining with seismic rock physics, we study the application of pre-stack frequency-dependent AVO inversion to gas identification of shale in the Longmaxi Formation, Sichuan Basin. First, we upscale the well data to seismic scale to obtain a reservoir model based on Backus average theory, and then conduct seismic modeling using the propagator matrix method followed by seismic-well tie for the analysis of seismic signatures from the shale gas reservoir. Then, based on core observations, we use the multi-scale fracture theory to design a theoretical model of shale gas reservoirs. Also, we calculate velocity dispersion and attenuation and the corresponding seismic reflections for the model. Afterwards, the frequency-dependent AVO inversion method is tested using the theoretical model. Calculation results show that for the target gas reservoir with a specific stratigraphic structure, the optimum frequency for fluid identification is not necessarily consistent with the dominant frequency of incidence seismic wavelets. The optimum frequency is influenced by tuning, interference and propagation effects. It illustrates the importance of the study on the theoretical model. Finally, we apply the frequency-dependent AVO inversion to the shale in the Longmaxi Formation of Sichuan Basin. The calculated dispersion attributes provide evidence for gas identification in shale reservoirs.
Key words:Frequency-dependent AVO/
Shale/
Gas identification/
Rock physics/
Dispersion attributes



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