Identification of Most Productive Zones in Kazkara Deposit T

发布时间：2021-11-02 23:23

　　本文从AVA解释在Kazkara场威尔斯的异常和叠前数据体中的确定性反演的应用出发,详细地描述了储层描述。这项工作从收集的数据,如裸眼测井,岩心信息,地层岩石,地震体积,岩石物理解释,地震资料处理,AVO分析,地震反演和结果解释。我将描述所有原则和方法的应用。在第2章所示的工作流程之后,首先,我将简要介绍威尔斯和该领域的一般信息,第二部分是编辑日志,主要是密度（RHOB）、中子（NPHI）、纵波压缩（DTC）和S波共享（DTS）。测井后,确定岩性、孔隙度、含水饱和度、岩相等岩石物理性质。最后,使用交叉图进行弹性和岩石物理性质分析,并且这些分析的结果与地震属性相关,并且可以做AVO解释,以便以后实现地震反演。三维地震勘探是识别潜在勘探目标和储层特征的工具中无可争议的领导者。这些调查探索大的地下体积,帮助石油和天然气公司绘制地质结构,并选择钻井地点。地震勘探的结果是地震反射数据,它携带地下信息和超出反射器位置的信息。每一反射由于接收波的振幅变化而改变信息。控制这种变化的特性在具有阻抗对比的界面处产生。地震反射振幅信息可用于反演,以确定界面两侧介质的相对阻抗。在地质、地球物理和岩石物理等领域... 

【文章来源】：中国石油大学(北京)北京市 211工程院校 教育部直属院校

【文章页数】：106 页

【学位级别】：硕士

【文章目录】：
ABSTRACT
摘要
1. INTRODUCTION
    1.1 Research purpose and value
    1.2 Literature Review
    1.3 Objectives and overview of chapters
2. THEORIES AND METHODS
    2.1 Petrophysical issues and techniques used
        2.1.1 Density Logs (RHOB
        2.1.2 P-wave Sonic Logs (DTC) 10
        2.1.3 Establishments of P-wave Sonic Log (DTC) and S-wave Sonic Log (DTS)
        2.1.4 Lithology
        2.1.5 Porosity
        2.1.6 Water Saturation
    2.2 Elastic Property Principles & Methods used
    2.3 Geophysical description & Methods
        2.3.1 Noise Attenuation
            2.3.1.1 Random Noise Attenuation. (RNA) 24
            2.3.1.2 Linear Noise Attenuation (LNA)
        2.3.2 Residual move-out correction
        2.3.3 Amplitude Correction
    2.4 AVO basics, method and Technique Interpretation
        2.4.1 Zoeppritz Equation
        2.4.2 Aki & Richards Approximation
        2.4.3 Shuey Approximation
        2.4.4 AVO Classification
    2.5 Post-stack Seismic Inversion (Sparse-Spike) Principles & Methods used and Technique unique
        2.5.1 Spare-Spike Inversion Method
        2.5.2 Spare-Spike Inversion and the Resolution Limit
3. APPLICATIONS
    3.1 Field area and scheme of wells
    3.2 Methodology and measured parameters in work
        3.2.1 Boundary value reasoning of main rock estimated parameters
        3.2.2 Discussion
    3.3 Petrophysical Application
        3.3.1 Results of Quality Indicator
        3.3.2 Lithology
        3.3.3 Porosity
        3.3.4 Water Saturation
            3.3.4.1 Simandoux Modified Model
            3.3.4.2 Waxman Smits Method
        3.3.5 Establishment of Share Velocity Logs (DTS)
    3.4 Elastic Property Application
    3.5 Geophysical Application Work
        3.5.1 Muting
        3.5.2 Random Noise Attenuation (RNA) 74
        3.5.3 Linear Noise Attenuation (LNA) 75
        3.5.4 Residual Moveout Correction (RMO)
        3.5.5 Definition of Angle Stack
        3.5.6 Post -stack Random Noise Attenuation (PNA)
        3.5.7 High Frequency Filter
    3.6 AVO (Amplitude versus Offset) Modeling
4. CONCLUSION & SUGGESTIONS
REFERENCES
ACKNOWLEDGEMENT



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