常规测井曲线广义S变换应用研究

发布时间：2018-05-05 14:27

本文选题：S变换 + 广义S变换　；参考：《西安石油大学》2017年硕士论文

【摘要】：地球物理测井在石油及煤田勘探和开发中一直占据主导作用,基于常规测井曲线已经完成许多地质解释及评价工作。一般对于常规测井曲线的处理是基于形态和幅值的视觉域完成的,但是对测井信息包涵的不同深频信息难以处理。为了进一步对测井曲线的深频信息进行挖掘,近年来,众多学者将时频分析技术应用于常规测井曲线处理研究中,取得了很好的应用效果。因此,本文提出基于广义S变换的常规测井曲线应用研究。本文首先介绍了S变换及广义S变换的国内外研究及应用现状,对S变换及广义S变换的理论进行了系统的阐述,梳理和总结了S变换及广义S变换的性质,对比分析了S变换及广义S变换的结果。通过对构建的仿真信号进行研究,结果表明,S变换及广义S变换具有局部分析特性、时移性、无损可逆性及很好的时频分辨率等特性,而广义S变换相比S变换具有更好的时频聚焦性。将广义S变换应用于常规测井曲线的处理与解释之中。构建仿真信号进行了高频信号去噪处理,基于广义S变换在深-频谱中对实际测井资料进行了去噪分析与处理,结果表明,去噪效果较好;对测井薄层模型进行分析,基于广义S变换在深-频谱中对实际测井资料进行薄层的识别与划分,结果表明,划分结果与实际测井资料匹配一致;构建了正旋回、反旋回测井模型,并对其进行分析,基于广义S变换在深-频谱中对实际测井资料进行沉积旋回的识别与划分,结果表明,划分结果与实际测井资料匹配一致。因此,以上研究成果说明了广义S变换具有很好的时频(深频)分辨率、多分辨率及局部频谱分析等特征,对于常规测井曲线的处理和解释具有重要的指导意义。
[Abstract]:Geophysical logging has always played a leading role in exploration and development of petroleum and coal fields, and many geological interpretation and evaluation work have been completed based on conventional logging curves. Generally, the processing of conventional logging curves is based on the visual domain of shape and amplitude, but it is difficult to deal with the different deep frequency information contained in logging information. In order to further mine the deep frequency information of logging curves, many scholars have applied time-frequency analysis technology to the research of conventional log curve processing in recent years, and achieved good results. Therefore, this paper presents a general well logging curve application research based on generalized S transform. In this paper, the research and application of S transform and generalized S transform are introduced, and the theory of S transform and generalized S transformation are systematically expounded, and the properties of S transform and generalized S transform are summarized. The results of S-transform and generalized S-transform are compared and analyzed. Through the research of the simulated signal, the results show that the S transform and the generalized S transform have the characteristics of local analysis, time shift, lossless reversibility and good time-frequency resolution, etc. The generalized S transform has better time frequency focusing than S transform. The generalized S-transform is applied to the processing and interpretation of conventional logging curves. The simulated signal is de-noised by high-frequency signal, and the actual logging data are analyzed and processed based on the generalized S-transform. The results show that the de-noising effect is good, and the model of logging thin layer is analyzed. Based on the generalized S transform, the actual logging data are identified and partitioned in the deep spectrum. The results show that the partition results are consistent with the actual logging data, and the positive cycle and inverse cycle logging models are constructed and analyzed. Based on the generalized S transform, the actual logging data are identified and partitioned in deep spectrum. The results show that the partition results are consistent with the actual logging data. Therefore, the above research results show that the generalized S-transform has good time-frequency (deep-frequency) resolution, multi-resolution and local spectrum analysis, and has important guiding significance for the processing and interpretation of conventional logging curves.
【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】：P631.81

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