岩屑多焦成像及岩性分类系统研究

发布时间：2018-03-21 17:08

本文选题：岩屑录井　切入点：数字图像　出处：《天津大学》2016年硕士论文　论文类型：学位论文

【摘要】：岩屑录井技术是地质勘探过程中识别地层岩性、发现油气显示的重要录井方法。在实际生产中,岩屑录井技术分析获得的数据能够作为落实油气显示、取芯定位、井位设计等的重要依据,所以岩屑录井技术的研究对于现代油气勘探开发有着重要的意义。目前录井现场主要采用人工观察分析的方式来判断岩屑的岩性和含油性信息,操作繁琐,对现场操作人员要求较高,且影响因素多,解释结果容易产生误差。岩屑放置时间较长后,油气显示信息容易丢失,无法实现当时表征信息的再现,极大制约了岩屑录井技术的发展。针对目前岩屑录井技术的现状,设计了岩屑图像自动采集分析系统。该系统采用计算机采集岩屑的图像信息,通过软件自动计算分析可以得到岩屑的岩性和含油性信息,大大减少了工作人员的劳动强度,降低了对现场人员操作水平的要求,提高了现场分析的精度,且拍摄的白光和荧光图像可以保存、重现,实现了岩屑信息的再次利用,整体提高了岩屑录井的技术水平。该系统采用双摄像头、双光源设计,其中大视域图像采集岩屑宏观及含油性信息,高放大倍数采集岩屑的矿物构造等细节信息;白光图像用于对岩屑岩性进行分析,荧光图像用于对岩屑含油性进行分析。在系统设计中,本文运用了多焦拍摄图像融合算法,有效的解决了镜头高放大倍数下存在的景深较小的问题,获得了整体清晰的高倍岩屑颗粒图像。运用相似分析的方法,建立原油荧光库及钻井液荧光库,有效的解决了钻井液污染的问题。对于岩屑中所含的假岩屑(上层掉块)问题,创造性的提出了趋近识别的方法,提高了分析的准确性。同时为提高岩屑录井现场解释评价的符合率,设计了远程录井传输与浏览子系统,将录井现场的图像实时传输到油田基地,使得后方专家可以方便的对岩屑图像进行浏览,监督指导现场录井工作。目前,设计的岩屑智能录井分析系统已在大庆、辽河、胜利等多个油田勘探现场得到应用,有效的解决了传统岩屑录井技术所存在的问题,提高了岩屑录井的整体技术水平。
[Abstract]:Cuttings logging technology is an important logging method to identify formation lithology and find oil and gas display in geological exploration. In actual production, the data obtained by cuttings logging technology can be used as the implementation of oil and gas display and core location. Because of the important basis of well location design, the research of cuttings logging technology is of great significance for modern oil and gas exploration and development. At present, the mud logging field mainly uses manual observation and analysis to judge the lithology and oil content information of cuttings. The operation is complicated, the demand for field operators is high, and there are many influencing factors. The interpretation results are easy to produce errors. After the longer cuttings are placed, the oil and gas display information is easily lost, and the representation information can not be reappeared at that time. The development of cuttings logging technology is greatly restricted. According to the present situation of cuttings logging technology, an automatic cuttings image acquisition and analysis system is designed. The information of lithology and oil content of cuttings can be obtained by automatic calculation and analysis of software, which greatly reduces the labor intensity of the workers, reduces the requirements for the operation level of the field personnel, and improves the accuracy of the field analysis. The white light and fluorescence images can be saved and reproduced, the information of cuttings can be reused, and the technical level of cuttings logging is improved. The system is designed with two cameras and two light sources. Among them, the large view image collects the macroscopic and oily information of the cuttings, the mineral structure of the cuttings is collected with high magnification, and the white light image is used to analyze the lithology of the cuttings. The fluorescence image is used to analyze the oil content of cuttings. In the system design, the multi-focal image fusion algorithm is used to effectively solve the problem of low depth of field under the high magnification of the lens. By using the method of similarity analysis, the fluorescence reservoir of crude oil and the fluorescent reservoir of drilling fluid are established, which can effectively solve the problem of drilling fluid pollution. In order to improve the coincidence rate of field interpretation and evaluation of cuttings logging, a remote logging transmission and browsing subsystem is designed. The real-time transmission of the mud logging field image to the oil field base makes it convenient for the rear experts to browse the cuttings image and supervise and direct the field logging work. At present, the cuttings intelligent logging analysis system has been designed in Daqing and Liaohe. The application of Shengli and other oil fields has effectively solved the problems existing in the traditional cuttings logging technology and improved the overall technical level of cuttings logging.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TE142;P618.13;TP391.41

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