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VTI介质流体因子及各向异性参数直接反演方法

Direct inversion method for fluid factors and anisotropy parameters in VTI media
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摘要 储层流体识别是油气勘探领域的重要研究方向。页岩储层具有较强的垂直横向各向同性(Transverse Isotropy with a Vertical Axis of Symmetry,VTI)介质特征,在流体因子估测中带来不容忽视的影响。为此,根据Rüger纵波反射系数方程,提出了一种基于VTI介质弹性阻抗的流体因子、杨氏模量及各向异性参数反演方法。首先,推导以Russell流体因子、杨氏模量和等效各向异性参数表示的反射系数近似公式和弹性阻抗方程;然后,通过弹性阻抗反演估计流体因子、杨氏模量和各向异性参数,并比较了各向异性参数对反演结果的影响。模型测试和实际工区数据应用结果表明,该方法可以合理、准确地预测流体因子、杨氏模量和各向异性参数,为页岩储层流体识别、脆性参数和各向异性发育程度预测提供了一种新的方法。 Reservoir fluid identification is an important research direction in the field of oil and gas exploration.Shale reservoirs have strong transverse isotropy with a vertical axis of symmetry(VTI),undeniably impacting fluid factor estimation.Based on the Rüger longitudinal wave reflection coefficient equation,this paper pro⁃poses an inversion method for fluid factor,Young’s modulus,and anisotropy parameters based on the elastic impedance of VTI media.Firstly,a reflection coefficient approximate formula and an elastic impedance equa⁃tion represented by Russell fluid factor,Young’s modulus,and equivalent anisotropic parameters are derived.Then,the fluid factor,Young’s modulus,and anisotropic parameters are estimated through elastic impedance inversion,and the influence of anisotropic parameters on the inversion results is compared.Model testing and practical application of work area data show that this method can reasonably and accurately predict fluid factors,Young’s modulus,and anisotropic parameters,providing a new method for identifying shale reservoir fluids,predicting brittle parameters,and predicting the anisotropic development degree.
作者 潘菲 李胜军 秦德文 陈康 高建虎 张广智 PAN Fei;LI Shengjun;Qin Dewen;CHEN Kang;GAO Jianhu;ZHANG Guangzhi(School of Earth Science and Technology,China University of Petroleum(East China),Qingdao,Shandong 266580,China;Northwest Branch of China Petroleum Exploration and Development Research Institute,Lanzhou,Gansu 730020,China;CNOOC(China)Co.,Ltd.,Shanghai Branch,Shanghai 200335,China;Exploration and Development Research Institute of PetroChina Southwest Oil and Gas Field Company,Chengdu,Sichuan 610041,China)
出处 《石油地球物理勘探》 EI CSCD 北大核心 2024年第4期875-886,共12页 Oil Geophysical Prospecting
基金 国家自然科学基金项目“高精度地震导向钻井关键技术及软件”(U23B6010) “基于深度学习的深层裂缝储层参数地震反演方法”(42074136) 中国石油前瞻性基础性项目“复杂气藏地震识别与预测技术研究”(2021DJ0606)联合资助。
关键词 储层 流体识别 等效各向异性 叠前反演 弹性阻抗 Reservoir fluid identifying equivalent anisotropy prestack inversion elastic impedance
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