火山岩储层缝洞测井自动识别和定量评价

发布时间：2018-01-05 18:28

本文关键词：火山岩储层缝洞测井自动识别和定量评价　出处：《吉林大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着世界经济发展越来越快,人们对油气资源的需求量越来越大,油气资源的重要性与日俱增,缝洞性油气藏作为当下重要的开采对象,一直是国内外研究的热点。目前,国内外对复杂岩性储层构造裂缝的测井识别和解释研究不仅仅包括碳酸盐岩,近年来又扩展到火成岩、变质岩,甚至是致密砂岩,泥页岩,针对火山岩储层构造裂缝的测井识别和解释还缺乏系统化和定量化;火山岩孔洞的测井识别和解释同样缺乏系统化和定量化。裂缝与孔洞的准确识别一直以来是个难题,火山岩储层岩性复杂,利用常规测井资料识别裂缝准确率低,利用成像测井人眼识别费时费力,自动识别方面研究较少并且缝洞识别准确率方面效果较差。本文依据常规测井资料和成像测井资料,以王府断陷火山岩储层为研究对象,对裂缝和孔洞的自动识别及定量评价展开研究。缝、洞的自动识别会大大提高火山岩储层开发的效率,并且这些研究对其他复杂岩性储层的裂缝和孔洞的识别具有借鉴和指导意义。在裂缝识别方面,首先针对电成像测井纵向分辨率高但裂缝人工识别繁琐以及常规测井裂缝识别方便但准确度低的情况,提出了一种新方法进行储层裂缝自动识别,利用经处理后常规测井数据和经预处理后的电成像微电导率资料建立常规储层测井裂缝综合识别因子Y1和电成像储层裂缝识别因子Y2,然后综合利用两个因子建立储层裂缝识别因子Y。该方法结合了常规和成像测井识别裂缝的优点,能自动识别裂缝发育层段,解决了成像测井人工拾取裂缝费时费力缺点;可以剔除无效裂缝干扰,识别出有效裂缝;提高了裂缝识别准确度。将其应用到王府地区井中得到了较好的应用效果。在孔洞识别方面,以成像测井资料为切入点,将分水岭算法引用到了孔洞的自动识别中来,并将分水岭算法进行了改进,通过matlab实现分水岭算法对孔洞的识别,并定量计算出孔洞的面孔率,统计出孔洞尺寸的分布谱图。最后将新提出的裂缝识别方法和孔洞识别方法应用到了王府断陷XX地区实际资料进行了处理,对识别裂缝和孔洞进行了定量参数计算,取得了不错的效果。建立了裂缝和孔洞识别以及定量解释评价方法。
[Abstract]:With the rapid development of the world economy, the demand for oil and gas resources is increasing, and the importance of oil and gas resources is increasing. At present, the logging identification and interpretation of structural fractures in complex lithologic reservoirs include not only carbonate rocks, but also igneous rocks and metamorphic rocks in recent years. Even for tight sandstone and shale, the logging identification and interpretation of structural fractures in volcanic reservoir are still lack of systematization and quantification. The logging identification and interpretation of volcanic pores are also lack of systematization and quantification. Accurate identification of fractures and pores has always been a difficult problem, and the lithology of volcanic reservoir is complex. The accuracy of identifying fractures by conventional logging data is low, and the identification of human eyes by imaging logging is time-consuming and laborious. Based on the conventional logging data and imaging logging data, this paper takes the volcanic reservoir of Wangfu fault depression as the research object. The automatic identification and quantitative evaluation of fractures and voids are studied. The automatic identification of fractures and cavities will greatly improve the efficiency of volcanic reservoir development. And these studies have reference and guidance significance for the identification of fractures and pores in other complex lithologic reservoirs. Aiming at the situation of high vertical resolution of electric imaging logging but complicated manual identification of fractures and convenient but low accuracy of conventional logging, a new method for automatic recognition of reservoir fractures is proposed. Based on the processed conventional logging data and the pre-processed electrical imaging microconductivity data, the conventional logging fracture recognition factor Y1 and the electrical imaging reservoir fracture recognition factor Y2 are established. Then two factors are synthetically used to establish the reservoir fracture identification factor Y. this method combines the advantages of conventional and imaging logging to identify fractures automatically. It solves the problem that it takes time and effort to pick up fractures manually by imaging logging. The invalid cracks can be eliminated and the effective cracks can be identified. The accuracy of fracture identification has been improved. The application of this method to the well of Wangfu area has been better. In the respect of hole recognition, the imaging logging data is taken as the breakthrough point. The watershed algorithm is applied to the automatic recognition of the holes, and the watershed algorithm is improved. The recognition of the holes is realized by the watershed algorithm by matlab, and the hole face ratio is calculated quantitatively. Finally, the new fracture identification method and hole recognition method are applied to the actual data processing in the XX area of Wangfu fault depression. The quantitative parameter calculation for identifying fractures and holes has been carried out, and good results have been obtained, and a method for identification and quantitative interpretation and evaluation of fractures and holes has been established.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P618.13;P631.81

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