【作者】 严哲；

【导师】 顾汉明；

【作者基本信息】 中国地质大学 ， 地球物理工程， 2010， 博士

【摘要】 地球是人类赖以生存的家园,也是社会文明进步的源泉,自从人类社会出现以来,就从没停止过对地球的探索。随着社会的进步,人类对资源的需求日益增加,对于涉及到寻找资源这类与社会发展密切相关的问题,地球物理学具有得天独厚的条件,特别在油气资源勘探中,地震勘探方法更是不可或缺的技术,地震勘探方法也得到了长足的改进,从二维地震发展到了三维地震。从三维地震勘探方法的出现到现在的这30多年之间,三维地震勘探方法得到了广泛的应用,已经基本取代了传统二维地震勘探方法在油气勘探中的位置。断层在油气的运移过程中既可能起通道作用,也可能起封堵作用。随着勘探理论向深层次发展,输导体系的定量研究已成为油气成藏研究的重要组成部分,其中断层作为三大输导体系之一,研究难度也最大。常规的断层解释方法是解释人员在三维地震数据的垂直剖面和水平切片上手动解释断层,通常是沿着主测线方向或者选择与断层走向垂直的任意测线逐线追踪断层,然后通过水平或者沿层切片控制断层的空间对比和延伸,这种方法是通过视觉识别反射层的不连续性来实现断层解释的,此方法周期长,难度大,主观性强,很大程度上依赖于解释人员的经验和有关地质知识的先验信息。而且,当工区内断层系统比较复杂,而且断层走向不明时,解释断层的组合就面临很大的难度,因此,解释人员更希望通过提取地震数据中潜在的构造信息,来提高断层解释的精度和速度。长期以来,人们围绕断层系统的精确描述作出了大量的努力,提出并应用了很多的描述方法,而且成功的从三维地震数据中提取了许多突出断层信息的不连续属性体,如断层切片技术、相干体属性技术、方差体属性技术、倾角方位角属性和边缘增强属性技术等。其中相干属性分析技术的提出使得面向岩性的不连续边界分析技术提高到了一个崭新的水平,也使得断层的自动识别成为了可能。但是不管是第几代相干体属性技术,也不论其他的不连续属性,它们的应用效果在不同程度上都受到所选择的分析参数的影响,而且也不可能从根本上消除噪音和地层残余响应带来的影响。如果要实现真正的断层自动识别,就必须在这些不连续属性的基础上寻找另一种方法。缩短油气勘探的周期有着重大的经济效益,有资料表明,在油气勘探过程中,每减少6个月的时间,油田公司可以节省5%的开发费用。因此,寻找一种断层自动识别方法,能使其有效的增强地震数据的不连续属性并克服原属性的弱点就显得尤为重要。近年来针对断层识别和解释的自动化和智能化的研究,已经成为国内外众多学者和科研人员探讨的热点问题之一。鉴于此,本文围绕断层自动识别技术中存在的主要问题,结合最新的仿生优化算法——蚁群算法,提出了基于方向约束蚁群算法的断层自动识别与追踪方法,并研究了断层自适应分离技术。全文以“基于方向约束蚁群算法的断层自动识别与追踪方法”为核心内容,分五个部分进行论述：第一部分阐述了本文选题的目的和意义,分析讨论了与选题相关内容的国内外研究现状,包括地震断层解释方法、断层增强属性、断层自动识别技术和蚁群算法,并指出了目前用于断层自动识别的方法技术所存在的不足。说明了本选题的主要研究内容、主要研究成果和创新点。第二部分首先简要的介绍了蚁群算法的思想起源；然后重点讨论了基本蚁群算法的数学模型、算法实施过程,并在此基础上介绍了对基本蚁群算法的一些改进和算法的应用领域；考虑到断层识别与图像边缘检测的某些共通性,最后详细介绍了蚁群算法在含噪声图像边缘检测中的应用原理和实现过程,并对实际图像进行了检测,从侧面印证了将蚁群算法应用到断层自动识别的可行性。第三部分为本文的核心内容。首先介绍了改进的第三代相干体算法,并且通过实际资料的处理对比了其与第二代和第三代相干体算法的处理效果,证实改进的第三代相干体算法能够得到分辨率和信噪比更高的结果,为了得出更优的断层自动识别结果,以改进的第三代相干体作为断层自动识别的断层属性体；然后针对断层增强属性中的问题,提出了方向约束蚁群追踪算法,详细介绍了此算法的原理、追踪策略和实现过程；最后将此算法应用到一个多断层的二维理论模型中,验证算法的有效性和可靠性,并且讨论算法参数的影响及优化。第四部分首先介绍了断层线优化处理方法,包括数学形态学中的膨胀、腐蚀、开运算和闭运算,图像处理的细线化技术,对蚁群追踪结果进行断层线优化处理,得到能够直接应用于断层提取的二值数据体；然后介绍了三维断层面上断层点的瞬时产状的计算方法；最后介绍了通过瞬时产状进行断层自适应提取和分离的方法。第五部分是实际资料处理,通过对一个来自胜利油田的实际资料进行处理,进一步讨论了追踪控制参数的影响,讨论了对于水平切片的追踪和垂直切片的追踪各应该采用的追踪策略；将最终处理结果投影到原始地震剖面上,验证了本文方法的有效性和准确性；并将处理效果与Petrel软件的处理效果进行了对比分析,指出了本文方法的优势。本文的主要创新点为：1、在国内外首次提出了方向约束蚁群追踪算法,将此算法应用于断层自动识别与追踪,并获得了成功。本文通过模型试算和实际资料处理以及与商业软件处理效果的对比分析均证明了方向约束蚁群追踪算法具有明显的优势,不仅具有很强的抗噪声能力,而且能够有效准确的增强断层的连续性,针对地震数据量大导致的搜索时间过长问题,提出一些控制策略来有效的提高搜索效率。2、在国内首次提出基于三维断层瞬时产状计算的断层自适应分离方法,基于空间距离关系对断层进行初步分离,然后通过三维断层的瞬时倾角和瞬时倾向对相交断层进行细分。更多还原

【Abstract】 The earth is the basic space of human’s living and development. Since the emergence of the human society, human has never stopped exploring the earth. As society advances, human’s requirement of resource is increasing. Geophysics has unique advantage at the problems such as resources prospecting etc. which are closely related to social development. Seismic exploration method is an indispensable technology in hydrocarbon resources exploration. Seismic exploration method has been improved increasingly, from the two-dimensional seismic has developed to the three-dimensional seismic. From the emergence to the present, the three-dimensional seismic exploration method has been widely used in this 30 years, the three-dimensional seismic has almost replaced the position of traditional two-dimensional seismic in hydrocarbon resources exploration.Faults could not only be a channel of hydrocarbon migration, but also could have sealed effect in hydrocarbon migration. With the theory of exploration developing to the deep-level, the quantitative study of carrier system has become the important component of hydrocarbon accumulation. As one of the three carrier systems, the research of faults has the greatest difficulty. Traditionally faults are picked in 3D seismic volumes as discontinuities in seismic amplitude on sections and time slices, this method is through visual recognition of reflector’s discontinuity to achieve fault interpretation. The drawback of this conventional interpretation method is its inefficiency and strong subjectivity, this method greatly depends on the experience of interpreter and geological priori information, as the exploration for oil and gas goes deep, the geologic targets are also becoming more complex, traditional interpretation method is difficult to merge fault surface. In order to improve the accuracy and efficiency of fault interpretation, interpreters hope to extract potential structural information from seismic data. For a long time, people has made a lot of efforts for the accurately description of fault system, a number of description methods has been presented and applied, and plenty of discontinuity attributes which emphasize the fault information are extracted from 3-D seismic date successfully, such as fault slicing、coherence cube、variance cube、dip-azimuth attribute and edge enhancement attribute and so on. The present of coherence cube has improved the discontinuity technology to a whole new level, and also makes auto recognition of faults being possible. But no matter what kinds of discontinuity attribute, the application effects are affected by parameters in various degrees, all the attribute impossible to completely remove the noises and remains of the strata. Therefore, another method should be exploited based on these discontinuity attributes in order to achieve the real auto recognition of fault.Reducing the cycle of oil and gas exploration has significant economic benefits, as the data has shown, Oil companies have suggested that for each 6 months saved,5% of the total costs of the development of the oilfield are saved. In the exploration phase, some of the most time consuming tasks involves the geological interpretation of seismic data. This is today done manually by interpreters, and much time could be saved by automating these tasks, therefore, seeking a method of fault auto recognition is very important. Recently, the study of fault automatic recognition and intelligent interpretation has become one of the hot issues which are focused on the many scholars and researchers.In order to effectively overcome the problems of the existing fault recognition methods, the author proposed a fault auto-tracking and recognition scheme based on ant colony algorithm which is the latest bionic simulated evolutionary algorithm. Focused on the research of fault autotracking and recognition which is based on orientation constraint ant tracking algorithm, this paper consists of five parts as follows.The first part of this dissertation introduces the purpose and significance of this topic based on the analysis of current relevant researches both at home and abroad, including fault interpretation methods, fault enhancement attributes, Technology of fault automatic recognition and ant colony algorithm (ACA). PartⅠalso points out the shortcomings of current technology in Fault automatic recognition. Overall, this part describes the main contents, contribution and innovative points of this dissertation.The second part begins with a brief introduction to the origins of ant colony algorithm, and then discusses some improvements and applications on basic ant colony algorithm, on the basis of detailed study of mathematical model and implementation process of ACA. Considering the similarities between fault recognition and image edge detection, the second part makes a fully analysis of the principles and implementation process about how ACA is applied into the image edge detection with noise, and then tests the real images, which successfully verified the feasibility that ACA can be used for fault automatic recognition from indirect sources.The third part is the core of this dissertation. It begins with the introduction to Improved C3 Algorithm, then compares the processing effect of it from that of C3 Algorithm and C2 Algorithm through real-world data, confirming that Improved C3 Algorithm can help to get data with higher resolution and SNR(Signal to Noise Ratio). Improved C3 Algorithm is chosen as the Fault Attribute so as to achieve better results in Fault Automatic Recognition.. Then, grounded on the application of ACA in image edge detection with noise, orientation constraint ant tracking algorithm is proposed to solve the problems existing in fault enhancement attributes. It also makes a detailed introduction to the principles, tracking strategies and implementation processes of this Algorithm. At last, part III focuses on presenting the application of this algorithm to a multi-fault 2-D synthetic model in order to verify the validity and reliability, and the discussion on impact and optimization of parameters in this algorithm. The forth part firstly introduces the fault-line optimization methods, including expansion, corrosion, opening operation and closing operation in mathematical morphology, graph thinning technology of image processing, and then applies these methods to optimize the results, thus getting more accurate data. What’s more the calculation method for transient occurrence of fault points on the 3-D fault surfaces is also presented in this part; finally, part IV presents the auto-extraction and adaptive separation methods according to transient occurrence.The fifth part is centered on real experiment. Based on the analysis of real data from Shengli oil field, it makes a further research on the impact of tracking control parameters, proposes the different tracking strategies which should be used for tracking vertical section and horizontal section respectively, and the final results are projected to the original seismic section to demonstrate the effectiveness and accuracy. It also carries out comparative analysis between the effect using this method and the one with Petrel software, which presenting the strengths of our method.The original contributions in this dissertation are as follows:1. The proposed scheme is first successful attempt to fault automatic recognition by orientation constraint ant tracking algorithm worldwide. Results from both synthetic models and real-world data demonstrate that orientation constraint ant tracking algorithm applied to fault automatic recognition should be considered good not only in terms of noise suppression but also in terms of fault continuity enhancement, some controlling strategies are proposed to solve the problem of time-consuming search due to large amount of seismic data, thus improving search efficiency. There is comparative analysis between the effect using this method and the one with Petrel software, which demonstrates the advantage of this method.2. Fault Adaptive Separation method which is based on the calculation of 3-D transient occurrence is brought forward for the first time in China. Grounded on space distance, this method makes a preliminary separation among the faults, and then conducts a further separation between intersectional faults by instantaneous dipping angle and instantaneous dipping tendency of three dimensional faults.更多还原