大庆地区厚层砂体水淹级别判别方法研究

发布时间：2018-06-16 06:45

本文选题：厚层砂体 + 解释单元　；参考：《东北石油大学》2017年硕士论文

【摘要】：随着油田的不断注水开发,大庆地区的大部分油田已经进入高含水时期,水淹严重,造成储层的电阻率等测井响应特征在曲线幅度、形态上发生一定程度的变化,使得油田水淹定性解释工作变得十分复杂,而且水淹层的解释工作量大、专业程度高、经验性强等特点,使得定性解释水淹层难度加大。油层在注水开发后,注入水的运动规律、波及范围、驱替效果是与油层砂体的岩性、物性、润湿特性等因素密切相关的,其必然受不同沉积环境下形成的沉积单元也就是沉积韵律所控制。因此,针对这样的问题,本文根据目前水淹层定性解释中存在的技术难题,提出了沉积单元是控制河道砂体水淹级别分布的主要因素,认为不同沉积单元之间的水淹规律是彼此独立的,同一沉积单元内部水淹规律高度相关,而正确划分沉积单元是水淹层定性解释的关键。将地质上的沉积单元映射到测井曲线上,提出了解释单元的基本概念,利用稳定的泥岩隔层作为不同解释单元的分界标志,给出了利用电阻率曲线自动划分解释单元的方法与步骤。在此基础上,将测井曲线划分为与沉积韵律一一对应的解释单元。根据深(浅)电阻率曲线与密度测井曲线,以厚层砂体电阻率曲线的平均斜率及密度曲线的相对重心为判别参数,利用计算机自动判别每一个解释单元中所包含的原始沉积韵律类型。同时以每单一韵律中部为对比标准层,将韵律其它部位各小层的电性、物性、与之比较,结合各小层与标准层相对位置关系,自动判定各小层水淹级别。通过对大庆油田储层的岩性、电性、物性和油水运移特性进行研究,并结合不同水淹级别测井特征参数节点,建立各类水淹模式下不同水淹级别与测井曲线特征之间的映射关系,提取了不同水淹级别测井特征参数和划分方法,形成该水淹级别下的测井特征参数集,建立了水淹模式库。我们应用研究区的两口密闭取芯井一共59层,进行了计算机自动判别各层水淹级别,并与现场专家人工解释结果进行比对,解释结果相符合的层数为50个,总体符合率达到84.7%,说明所建立人机交互式水淹级别判别的方法是有效的。并且将该方法应用到北一区断东一类区域的36口井的现场资料的水淹级别定性划分中。
[Abstract]:With the continuous development of water injection, most of the oilfields in Daqing area have entered the period of high water cut, the flooding is serious, and the logging response characteristics such as resistivity of reservoir have changed to a certain extent in the range of curve and shape. The qualitative interpretation of water flooding in oil field becomes very complicated, and the interpretation of water flooded layer has the characteristics of large workload, high professional level and strong experience, which makes it more difficult to interpret water flooded layer qualitatively. After the oil reservoir is developed by water injection, the movement law, sweep scope and displacement effect of injected water are closely related to the lithology, physical properties, wetting characteristics and other factors of reservoir sand body. It must be controlled by sedimentary units formed in different sedimentary environments, that is, sedimentary rhythms. Therefore, in view of this problem, according to the technical problems existing in the qualitative interpretation of water-flooded layer at present, this paper puts forward that the sedimentary unit is the main factor to control the distribution of water-flooded level of channel sand body. It is considered that the waterflooding law among different sedimentary units is independent of each other, and the internal waterflooding law of the same sedimentary unit is highly related, and the correct division of sedimentary units is the key to the qualitative interpretation of the water-flooded layer. The geological sedimentary units are mapped to log curves, and the basic concept of interpretation unit is put forward. The stable mudstone interlayer is used as the boundary marker of different interpretation units. The method and procedure of automatic division of interpretation unit by using resistivity curve are given. On this basis, the log curve is divided into interpretation units corresponding to sedimentary rhythm. According to the deep (shallow) resistivity curve and density logging curve, the average slope of resistivity curve of thick sand body and the relative center of gravity of density curve are taken as discriminant parameters. The original sedimentary rhythms contained in each interpretation unit are automatically identified by computer. At the same time, taking the middle of each single prosody as the contrast standard layer, the electrical and physical properties of each layer in other parts of the prosody are compared, and the relative position relationship between each layer and the standard layer is combined to automatically determine the waterflooded level of each layer. By studying the lithology, electrical property, physical property and oil-water migration characteristics of Daqing oilfield reservoir, and combining with the node of logging characteristic parameters of different water-flooded level, The mapping relationship between different watered-out levels and logging curve features was established, and the logging characteristic parameters and partition methods of different water-flooded levels were extracted, the logging characteristic parameters set under the water-flooded level was formed, and the water-flooded pattern library was established. In this paper, 59 layers of two closed coring wells in the study area are used to automatically judge the waterflooded level of each layer by computer, and the results are compared with the manual interpretation results of field experts. The number of layers consistent with the interpretation results is 50. The overall coincidence rate is 84.7, which shows that the method is effective. The method is applied to the qualitative classification of water flooding level of 36 wells in the first class of fault area.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TE357.6

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