山地地震速度数据处理软件的研究与实现

发布时间：2018-04-04 17:01

本文选题：速度数据处理　切入点：数据检索　出处：《电子科技大学》2013年硕士论文

【摘要】：随着地震勘探技术的不断发展，地球物理计算机软件技术逐步成为石油勘探领域的一项核心技术。目前，山地物探正面临着众多技术难题，其中一大难题是速度数据处理手段单一，效率低下，不能满足今后复杂山地地震资料的处理需求。本论文正是针对上述问题，在充分调研国内外主流商业软件速度数据处理方法的基础之上，借鉴Omega等处理软件的核心技术，将计算机科学技术与地震数据处理技术相结合，采用文件数据检索技术、地震数据插值算法等一系列关键技术，研发出了一套具有独立知识产权的山地地震速度数据处理软件。主要内容为： 1．研究并设计了一种高效的文件数据检索方法。针对地震速度文件结构化的特点，，本课题设计了一种数据索引表来存储速度文件中所有速度函数块的相关信息，以便在插值计算时，能够快速地随机检索速度函数及其时间速度值对。 2．研究并提出了一种地震工区网格最优外推方法。它能够快速构建出覆盖所有小工区的面积最小的大工区网格，可节约大量处理成本，已申请发明专利。 3．研究并提出了一种二维表数据排序问题新算法。数据处理算法中的一个重要步骤为二维表排序操作。该算法通过采用映射表来辅助进行二维表排序，使其时间复杂度从O(n*log2n*m)降低为O(n*log2n)。 4．研究了8个处理功能子模块的理论模型和2个可视化功能子模块的设计方案，并负责实现了其中4个核心的处理功能子模块和2个可视化功能子模块，为高陡复杂构造的山地地震资料提供了多功能、高性能的速度数据处理手段，提高了速度数据处理过程的质量控制能力。本课题成果经过实际数据的严格测试，达到了相关生产技术指标。目前，课题成果已集成到GeoMountain一体化软件系统中，实现了各种处理功能的共享，极大地改善了GeoMountain在山地地震速度数据处理方面功能匮乏的状况，促进了GeoMountain的推广与应用。
[Abstract]:With the continuous development of seismic exploration technology, geophysical computer software technology has gradually become a core technology in the field of petroleum exploration.At present, the mountain geophysical exploration is facing many technical difficulties, one of which is that the velocity data processing method is single and inefficient, which can not meet the needs of the complex mountain seismic data processing in the future.Aiming at the above problems, this paper combines computer science and technology with seismic data processing technology, based on the research of domestic and foreign mainstream commercial software speed data processing methods, and using the core technology of Omega and other processing software for reference.A set of mountain seismic velocity data processing software with independent intellectual property rights is developed by using a series of key technologies such as file data retrieval and seismic data interpolation algorithm.The main contents are:1.An efficient document data retrieval method is studied and designed.In view of the structural characteristics of seismic velocity file, this paper designs a data index table to store the relevant information of all velocity function blocks in the velocity file, so that in the interpolation calculation,The speed function and its time velocity value pair can be quickly and randomly retrieved.2.In this paper, an optimal extrapolation method of seismic grid is proposed.It can quickly construct a large area grid with the smallest area covering all small working areas, which can save a lot of processing cost and has been applied for invention patent.3.In this paper, a new algorithm for two-dimensional table data sorting problem is proposed.An important step in the data processing algorithm is the two-dimensional table sorting operation.In this algorithm, the mapping table is used to assist the two dimensional table sorting, and the time complexity of the algorithm is reduced from ONM log2nm) to OONU log2ng.4.The theoretical model of eight processing function submodules and the design scheme of two visual function sub-modules are studied, and the four core processing function sub-modules and two visualization function sub-modules are implemented.It provides a multifunctional and high performance velocity data processing method for mountainous seismic data of high and steep complex structures, and improves the quality control ability of velocity data processing process.Through the strict test of the actual data, the achievement of this subject has reached the relevant production technical index.At present, the research achievements have been integrated into the integrated software system of GeoMountain, which has realized the sharing of various processing functions, greatly improved the lack of function of GeoMountain in the processing of seismic velocity data in mountainous areas, and promoted the popularization and application of GeoMountain.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P631.443;TP311.52

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