叠前资料预处理及储层预测方法研究与应用

发布时间：2018-04-23 22:22

本文选题：道集优化 + 同步反演　；参考：《成都理工大学》2017年硕士论文

【摘要】：随着地震勘探技术的飞速发展,提高复杂隐蔽油气藏勘探成功率已经日益重要,而运用叠前地震资料进行储层流体识别在储层特征描述中的作用日益凸显,充分挖掘地震资料的有用信息,提高储层流体类型识别的准确度能够有效的降低勘探开发的风险与成本。叠前CRP道集的质量直接关乎叠前反演和AVO分析结果的精度和可靠性。然而在实际工作中,由于受地震采集激发接收条件、观测系统、噪音干扰、地层横向各向异性和常规处理流程针对性不强等因素影响,如果将常规叠前偏移处理生成的CRP道集直接用于AVO分析或叠前反演等工作,常常会导致AVO特征不明显以及AVO属性分析和叠前反演效果欠佳,严重影响到储层预测和烃类检测成果质量。因此,有必要在进行AVO分析及叠前反演之前,根据实际资料情况对叠前道集进行一系列有针对性的优化处理。文中以叠前道集的保幅处理为核心,建立了一个针对实际资料的优化处理流程,对叠前CRP道集进行优化处理,分析各种道集优化技术及流程对识别AVO异常的影响。同时笔者采用叠前道集分析、叠前属性分析和叠前同步反演技术确定其地震道集含气响应类型,由叠前同时反演同时得到纵波阻抗、横波阻抗两个属性体,再计算得到一些其他弹性参数属性体,分析含油气储层的分布。此外,构建更加灵敏可靠的流体因子属性来直接检测油气是一条人们一直努力尝试的途径,文中构建的流体识别因子,在流体检测中表现出良好的识别能力,有一定的实际应用价值。简而言之,本文涉及的储层含油气性的研究就是利用叠前地震资料分析含油气储层的存在性和其含油气地震响应类型、含油气平面分布、并对该方法在实际资料应用中的应用效果进行探讨,为实际的储层预测提供可靠依据。
[Abstract]:With the rapid development of seismic exploration technology, it is increasingly important to improve the success rate of exploration for complicated subtle reservoirs, and the application of pre-stack seismic data in reservoir fluid identification plays an increasingly important role in reservoir characterization. Fully mining the useful information of seismic data and improving the accuracy of reservoir fluid type identification can effectively reduce the risk and cost of exploration and development. The quality of prestack CRP gathers is directly related to the accuracy and reliability of prestack inversion and AVO analysis. However, in the actual work, due to the seismic acquisition excitation and reception conditions, observation system, noise interference, lateral anisotropy of formation and the lack of pertinence of conventional processing flow and other factors, If the CRP gathers generated by conventional prestack migration are directly used in AVO analysis or prestack inversion, the AVO features will not be obvious and the effect of AVO attribute analysis and prestack inversion will be poor. The quality of reservoir prediction and hydrocarbon detection is seriously affected. Therefore, it is necessary to carry out a series of targeted optimization processing of prestack gathers according to the actual data before AVO analysis and prestack inversion. In this paper, based on the amplitude preserving processing of prestack gathers, an optimized processing flow for practical data is established. The prestack CRP gathers are optimized, and the effects of various gathers optimization techniques and processes on the identification of AVO anomalies are analyzed. At the same time, the author uses prestack gather analysis, prestack attribute analysis and prestack synchronous inversion technology to determine the gas response type of seismic gather. Two attribute bodies, P-wave impedance and S-wave impedance, are obtained simultaneously by simultaneous pre-stack inversion. Then some other elastic parameter attribute bodies are obtained to analyze the distribution of oil and gas reservoirs. In addition, building a more sensitive and reliable fluid factor attribute to directly detect oil and gas is a way that people have been trying hard to try. The fluid recognition factor constructed in this paper shows good recognition ability in fluid detection. It has certain practical application value. In short, the research of reservoir oil and gas bearing property in this paper is to use prestack seismic data to analyze the existence of oil and gas reservoir, the type of seismic response of hydrocarbon bearing reservoir, and the plane distribution of oil and gas. The application effect of this method in the application of practical data is discussed, which provides a reliable basis for the actual reservoir prediction.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P618.13;P631.4

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