基于地震多属性不确定性的可视分析研究

发布时间：2018-04-29 02:28

本文选题：地震属性 + 不确定性　；参考：《电子科技大学》2017年硕士论文

【摘要】：随着地震测量及勘探技术的高速进步,地质研究人员在处理地震数据的时候又面临着新的挑战,对地震勘探数据的精确性和合理性又提出了新的要求。地震数据中一般携带着大量的不确定性信息,研究这些信息中的不确定性对解决油藏储存等问题具有重要的意义。本文以地震属性数据为例,对地震属性的不确定性进行研究,并结合可视分析方法对地震属性不确定性模型的精确性和合理性进行了分析和探讨。在不确定性的建模方法研究过程中,结合专业地质人员的经验和意见进行交互的管理和操作是十分重要的。因此本文还设计了一个交互式可视分析系统,根据地质专家的建议和要求来对建立的不确定性场模型进行了修正,从而得到一个比较合理的不确定性场模型。本文基于地震多属性不确定性的可视分析研究的主要工作和创新点包括:(1)针对地震属性数据对应的溶洞体边界范围的不确定性问题进行了研究,本文提出了一种多属性溶洞体边界数据不确定性建模的方法,并使用散点显示的方式来生成具有不确定性的表面。根据每种地震属性数据的不确定性建模方法,建立其所对应的溶洞体边界数据点的散点不确定性场,根据所建立的每种属性对应的溶洞体边界散点的不确定性场,利用证据理论的方法对其进行融合,最终得到一个溶洞体边界的不确定性区域。(2)针对已经建立的地震属性数据溶洞体边界散点不确定性场模型,本文提出了一种新的基于地震属性不确定性的可视分析框架和人机交互过程。在上述提出的可视分析框架和人机交互过程的基础上,本文还设计和实现了一个基于不确定性的可视分析系统,利用该系统对地震属性目标体散点不确定性场模型进行交互式分析。利用该系统结合基于人机交互的可视分析方法对多属性的不确定性场的精确性和合理性进行分析和探讨,最终得到了一个比较理想的目标体边界的不确定性区域。
[Abstract]:With the rapid progress of seismic survey and exploration technology, geological researchers are faced with new challenges in dealing with seismic data, and put forward new requirements for the accuracy and rationality of seismic exploration data. Seismic data generally carry a large amount of uncertain information, so it is very important to study the uncertainty of seismic data to solve the problem of reservoir storage. Taking seismic attribute data as an example, the uncertainty of seismic attribute is studied in this paper, and the accuracy and rationality of uncertainty model of seismic attribute are analyzed and discussed with visual analysis method. In the research process of uncertain modeling method, it is very important to combine the experience and opinions of professional geological personnel to manage and operate interactively. Therefore, this paper also designs an interactive visual analysis system, according to the suggestions and requirements of geological experts to modify the established uncertainty field model, so as to obtain a more reasonable uncertainty field model. In this paper, the main work and innovation of visual analysis based on seismic multi-attribute uncertainty include: (1) the uncertainty of karst boundary range corresponding to seismic attribute data is studied. In this paper, a method for modeling uncertainty of boundary data of multi-attribute caverns is proposed, and the surface with uncertainty is generated by using divergence point display. According to the uncertainty modeling method of each seismic attribute data, the uncertainty field of the corresponding boundary data points of the karst cave body is established, and the uncertainty field of the karst body boundary divergence point corresponding to each attribute is established. The method of evidence theory is used to fuse it. Finally, an uncertain region of cavern boundary is obtained, which is based on the established uncertainty field model of dispersion point of karst cave boundary in seismic attribute data. In this paper, a new visual analysis framework based on seismic attribute uncertainty and human-computer interaction process is proposed. On the basis of the visual analysis framework and human-computer interaction, a visual analysis system based on uncertainty is designed and implemented in this paper. The system is used to interactively analyze the uncertainty field model of seismic attribute object. The accuracy and rationality of multi-attribute uncertainty field are analyzed and discussed by using this system combined with the visual analysis method based on human-computer interaction. Finally, an ideal uncertainty region of the object boundary is obtained.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P631.4

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