基于三频率的阵列感应测井信号处理研究

发布时间：2018-01-24 06:13

本文关键词： 三频率阵列感应几何因子趋肤效应聚焦合成滤波器设计分辨率匹配　出处：《西安石油大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着石油勘探技术不断发展,测井仪器也在不断的更新换代。阵列感应测井仪器是目前最有效的电阻率测井仪器之一,它能够提供丰富的地层信息,对准确评价油气储藏具有重要作用。本文研究一种三频率阵列感应测井的信号处理方法,包括三频率测井信号趋肤效应校正、信号聚焦合成滤波器设计以及不同探测深度分辨率匹配滤波器设计,研究结果为三频率阵列感应测井仪器的研制和设计奠定了理论基础。本文的研究包括以下五个方面。第一部分首先分析阵列感应测井的基本原理,给出本文所选仪器的结构参数。其次从三线圈系引出感生电动势、视电导率和趋肤效应等基础理论知识。最后从Gianzero几何因子出发详细研究了三频率阵列感应测井仪器一维、二维探测特性和均匀地层响应特性;从不同阵列、不同工作频率和不同地层电导率三个方面讨论了仪器纵向分辨率以及径向探测深度的变化规律。第二部分研究了三频率阵列感应测井信号趋肤效应校正方法。首先讨论了目前几种趋肤效应校正方法并分析了这些方法的利弊。其次从频率与视电导率的关系提出适合三频率阵列感应测井仪器趋肤效应校正的方法,研究三频率趋肤效应校正方法的理论基础及实现原理。最后比较两种不同三层地层模型趋肤效应校正后曲线与无趋肤效应影响曲线差值大小,验证三频率趋肤效应校正方法的适用性。第三部分研究三频率测井信号聚焦合成滤波器设计问题。首先研究了聚焦滤波器设计原理、目的函数的选取、相关函数的应用以及设计滤波器过程中遇到的问题和解决方法。其次分析软约束等条件对滤波器约束方法。最后设计出对应15个背景电导率的7种不同探测深度的真分辨率聚焦合成滤波器。第四部分是通过特定模型信号处理测试和完善聚焦合成滤波器。首先利用所设计的聚焦合成滤波器处理15个背景电导率7个探测深度模型的正演数据,合成不同探测深度、不同纵向分辨率的测井曲线,从合成的结果判断滤波器设计是否合理,调节滤波器的约束参数对所设计的滤波器进行完善。其次对7个不同探测深度、不同分辨率的曲线进行分辨率匹配,得到分辨率一致的测井曲线。第五部分是计算机仿真。首先给出了整个信号处理过程的算法设计,其次对电导率对比度为10和100的21层地层模型以及Oklahoma地层模型进行信号处理仿真。验证了研究算法和设计滤波器的适应性。
[Abstract]:With the continuous development of petroleum exploration technology, logging tools are constantly updated. Array induction logging tool is one of the most effective resistivity logging tools, it can provide rich formation information. This paper studies a signal processing method of three-frequency array induction logging, including three-frequency logging signal skin effect correction. Signal focusing synthesis filter design and different depth resolution matched filter design. The results lay a theoretical foundation for the development and design of three-frequency array induction logging tools. The research in this paper includes the following five aspects. The first part analyzes the basic principles of array induction logging. The structural parameters of the instrument selected in this paper are given. Secondly, the inductive electromotive force is derived from the three-coil system. The basic theoretical knowledge such as apparent conductivity and skin effect is studied. Finally, the one-dimensional, two-dimensional and uniform formation response characteristics of three-frequency array induction logging tools are studied in detail from Gianzero geometric factors. From different arrays. The variation law of instrument longitudinal resolution and radial detection depth is discussed in three aspects of different working frequency and different formation conductivity. The second part studies the correction method of skin effect of three-frequency array induction logging signal. This paper first discusses several skin effect correction methods and analyzes the advantages and disadvantages of these methods. Secondly, from the relationship between frequency and apparent conductivity, it puts forward a method suitable for skin effect correction of three-frequency array induction logging tools. The theoretical basis and realization principle of the three-frequency skin effect correction method are studied. Finally, the difference between the emendation curve and the non-skin effect curve of two different three-layer stratigraphic models is compared. Verify the applicability of three-frequency skin effect correction method. The third part studies the design of three-frequency logging signal focusing synthesis filter. Firstly, the design principle of focusing filter and the selection of objective function are studied. The application of correlation function and the problems encountered in the process of designing filter and their solutions. Secondly, the paper analyzes the constraint methods of filter by soft constraints. Finally, 7 different detection depths corresponding to 15 background conductivities are designed. True resolution focused synthetic filter of degree. 4th part is to test and perfect focused composite filter by special model signal processing. First, we use the designed focused composite filter to deal with 7 cases of 15 background conductivities. Forward modeling data for the depth measurement model. The log curves with different detection depth and different longitudinal resolution are synthesized to determine whether the filter design is reasonable or not. The filter is improved by adjusting the constraint parameters of the filter. Secondly, seven curves with different detection depth and different resolution are matched with each other. The 5th part is computer simulation. Firstly, the algorithm design of the whole signal processing process is given. Secondly, the signal processing simulation of 21-layer formation model with conductivity contrast of 10 and 100 and Oklahoma stratigraphic model is carried out, which verifies the adaptability of the algorithm and the design filter.
【学位授予单位】：西安石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P631.83;TN911.7

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