超薄层阵列感应测井弱信号采集与处理研究

发布时间：2018-07-17 03:07

【摘要】：阵列感应测井属于常规电法测井,在各油田,除个别井外,每井必测阵列感应,应用非常广泛。针对大庆油田含水量高,且剩余油分布高度分散的现实特征,急需开发分辨率可以达到0.2米的超薄层阵列感应测井技术,来满足高精度、高分辨率、高可靠性和复杂油气藏的评价。本文主要针对超薄层阵列感应测井中的微弱信号采集及数据处理技术展开研究,分析了国内外相关技术的研究进展和存在问题,详细介绍了阵列感应原理,弱信号的采集方面,为了提高精度减少温度影响产生的误差,对线圈设计进行了改进,在信号采集时采用了一种新型的相对测量法来抑制温漂；校正方法方面重点介绍了温度校正模型的建立,温度影响校正算法和趋肤效应校正方法的研究、自适应井眼校正的实现；算法部分,对软件聚焦算法展开研究,建立聚焦目标函数选择条件,计算多种背景条件下的几何因子,进行分辨率匹配滤波器设计,采用蝴蝶函数进行径向一维反演,建立几何因子库。对应用新方法研制的阵列感应仪器所测得的数据进行评价,评价结果表明其重复性一致性较好,并实现了0.2米的分辨率。
[Abstract]:Array induction logging belongs to conventional electrical logging. It is widely used in every oil field except individual wells. In view of the characteristics of high water content and highly dispersed remaining oil distribution in Daqing Oilfield, it is urgent to develop ultra-thin layer array induction logging technology with a resolution of 0.2 meters to meet the high precision and high resolution. Evaluation of high reliability and complex reservoirs. In this paper, the weak signal acquisition and data processing technology in ultra-thin layer array induction logging are studied. The research progress and existing problems of related technologies at home and abroad are analyzed. The principle of array induction and the acquisition of weak signals are introduced in detail. In order to improve the precision and reduce the error caused by temperature effect, the coil design is improved, a new relative measurement method is adopted to suppress temperature drift in signal acquisition, and the establishment of temperature correction model is emphasized. The research of temperature effect correction algorithm and skin effect correction method, the realization of adaptive wellbore correction. In the algorithm part, the software focusing algorithm is studied, the selection condition of focusing objective function is established, and the geometric factors under various background conditions are calculated. The resolution matched filter is designed, and the one dimensional radial inversion is carried out by using butterfly function, and the geometric factor library is established. The data measured by the array induction instrument developed by the new method are evaluated. The evaluation results show that the repeatability is good and the resolution of 0.2 m is achieved.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P631.81

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