当前位置:主页 > 科技论文 > 石油论文 >

辽河油田胜601-沈630井区变质岩潜山裂缝预测研究

发布时间:2018-02-03 03:08

  本文关键词: 变质岩潜山 裂缝预测 地震属性 蚂蚁体 出处:《浙江大学》2015年硕士论文 论文类型:学位论文


【摘要】:大民屯凹陷胜601---沈630井区太古界潜山为辽河油田沈阳采油厂主要勘探增储及产能接替区块,由于变质岩潜山非均质性强,对于裂缝精细刻画缺少有效的手段,是制约该潜山带高效勘探开发的主要因素,要实现该区的裂缝精细刻画急待解决三大问题:问题一:储层岩性识别及分布认识不清,导致优势岩性裂缝发育区很难确定;问题二:部分井测井解释结论与试油试采不符,测井裂缝识别标准不统一;问题三:没有形成针变质岩潜山,井震结合的裂缝预测配套技术体系。鉴于此,本文中针对胜601-沈630潜山带勘探开发面临的问题,从单井测井裂缝评价及岩性识别入手,确定单井裂缝展布特征,在此基础上采用“井震结合、动静结合、由已知到未知“的思路开展裂缝空间展布特征精细描述。重点开展了三项研究:一是储层岩性识别与评价研究,建立区域内测井资料岩性识别标准,对区域内岩性进行识别,确定优势岩性裂缝发育区;二是测井裂缝识别与评价研究,充分利用常规测井及成像测井资料进行裂缝识别,建立潜山储层常规及成像测井定性及定量识别的标准,为下步裂缝预测研究奠定基础;三是多种技术联合应用,落实目标区储层裂缝展布特征,重点通过非线性神经网络、蚂蚁体分析等技术的联合应用,多手段、多角度预测胜601-沈630井区裂缝的分布规律,解决单一方法预测的缺陷和局限,提高研究精度。通过本次研究的开展形成了针对裂缝性油藏“测井评价技术、裂缝地质建模技术、叠后地震处理技术及裂缝精细描述技术”相结合的勘探开发技术系列,精细刻画了研究区裂缝空间展布特征,提出了针对裂缝性储层分类、分区评价新标准,确定了裂缝集中发育区。其中Ⅰ类裂缝发育区主要分布在沈630井区的中南部至东胜堡潜山呈环状分布带;Ⅱ裂缝发育区主要分布在沈630井区的东侧相对低部位,范围较小;胜601井区的北侧以ⅢⅡ、Ⅳ裂缝发育区为主。课题研究过程中形成的技术方法对其它变质岩潜山油藏的勘探开发工作具有很好的借鉴意义。
[Abstract]:The Archean buried hill in Sheng601--Shen 630 well area of Damingtun depression is the main exploration reservoir and productivity replacement block in Shenyang Oil production Plant of Liaohe Oilfield because of the strong heterogeneity of metamorphic rock buried hill. The lack of effective means for fine description of fractures is the main factor restricting the high efficiency exploration and development of the buried hill zone. It is urgent to solve three problems to be solved in order to realize the fine delineation of fractures in this area: the first problem is that the recognition and distribution of reservoir lithology is not clear, which leads to the difficulty of determining the areas where the dominant lithologic fractures develop; Problem two: some well logging interpretation conclusions are not consistent with production test and production test, and logging fracture identification standards are not uniform; Problem three: there is no supporting technical system for fracture prediction of acicular metamorphic rock buried hill, well and earthquake. In view of this, this paper aims at the problems faced by the exploration and development of Sheng601-Shen 630 buried hill belt. Based on the single well logging fracture evaluation and lithology identification, the distribution characteristics of single well fractures are determined. On this basis, the combination of well shock and dynamic and static is adopted. The idea of "from known to unknown" develops the fine description of fracture spatial distribution characteristics. Three studies are focused on: first, reservoir lithology identification and evaluation, and establishing the lithology identification standard of regional test well data. Identify the lithology in the area and determine the area where the dominant lithologic fractures develop; Second, the research of logging fracture identification and evaluation, making full use of conventional logging and imaging logging data to identify fractures, establish the standard of qualitative and quantitative identification of conventional and imaging logging of buried hill reservoir. It lays a foundation for the prediction of the next step fracture. Third, the joint application of a variety of technologies to implement the target area reservoir fracture distribution characteristics, focusing on the non-linear neural network, ant body analysis and other techniques of joint application, multi-means. The distribution law of fracture in Sheng601-Shen630 well area is forecasted from many angles to solve the defect and limitation of single method. Through the development of this study, the logging evaluation technology and fracture geological modeling technology for fractured reservoir are formed. The series of exploration and development techniques combined with post-stack seismic processing technology and fine fracture description technology depict the spatial distribution characteristics of fractures in the study area, and propose a new standard for the classification of fractured reservoirs and zoning evaluation. The fracture concentrated development area is determined. The type 鈪,

本文编号:1486240

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/shiyounenyuanlunwen/1486240.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户81df7***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com