萨中开发区特高含水期驱替特征研究

发布时间：2018-01-30 11:12

  本文关键词： 影响因素 特高含水期 水驱规律曲线 递减曲线 联解模型　出处：《东北石油大学》2017年硕士论文　论文类型：学位论文

【摘要】：经过多年的开发,大庆油田萨中开发区已经进入特高含水期,并且产量逐年递减。目前较为突出的开发问题是注水利用效率低、剩余油挖潜难度大、产量递减快等问题。因此,对该区块的注水调整、剩余油识别、生产指标预测以及开发效果评价成为油田工作的重心。本文从相对渗透率的影响因素入手,考虑到特高含水期注水量大、注水利用率低等特点,着重研究了长期冲刷下特高含水期的油水相对渗透率变化,分析了长期冲刷、压力梯度、岩石学特征以及粘土矿物对相对渗透率曲线的影响。同时从地质和开发两方面分析了特高含水期含水率变化的影响因素,其中高渗透条带、非均质性等是影响特高含水期含水率变化的主要因素。最后对驱替特征影响因素进行了研究,分析发现驱替速度、净覆压和两相启动压力梯度是驱替特征的主要影响因素。本文在大量调研现场数据的基础上,分区域研究萨中开发区的水驱规律。通过对生产井史资料的分析,发现在三次井网加密后的一段时间内,油田进入特高含水期,水驱规律在此时进入新的模式。本文以进入特高含水期为起始点,分别从甲型、乙型、丙型和丁型水驱规律曲线等四个方面对萨中开发区各区域的水驱规律进行分析,通过数据拟合以及数据差异对比,分别优选出萨中开发区12个区域的水驱曲线类型。同样采用数据拟合和数据差异对比的方法,分别对萨中开发区各区域进行产量递减规律分析。本研究以三次井网加密完成后产量开始递减的时刻为初始产量来研究递减规律,除去生产措施、生产制度的影响,从指数递减、双曲递减、调和递减三个方面来对生产数据进行拟合,通过分析发现,萨中开发区各区块在特高含水期的产量多以指数形式递减,规律明显,数据拟合较好。为了得到含水率和产量随时间变化的模型,将水驱规律曲线和产量递减曲线进行联解。根据已获得的萨中开发区各区块的水驱规律曲线类型和产量递减类型,联解相应曲线的理论模型,得到各区块可用的含水率及产量预测模型。通过对比拟合精度发现,联解得到的预测模型具有更高的预测精度和更好的适应性。
[Abstract]:After years of development, Sazhong Development Zone of Daqing Oilfield has entered an extremely high water cut period, and the production is decreasing year by year. At present, the outstanding development problems are low water injection efficiency and difficulty in tapping the potential of remaining oil. Therefore, the adjustment of water injection, the identification of remaining oil, the prediction of production index and the evaluation of development effect become the focus of oilfield work. This paper starts with the influencing factors of relative permeability. Considering the characteristics of large water injection rate and low water injection utilization rate in the ultra-high water cut period, the changes of relative permeability of oil and water during the ultra-high water cut period under long term scour are studied, and the long-term scour and pressure gradient are analyzed. The characteristics of petrology and the influence of clay minerals on the relative permeability curve are also analyzed. Heterogeneity is the main factor that affects water cut change in high water cut period. Finally, the influence factors of displacement characteristics are studied, and the displacement velocity is found by analysis. Net overburden and two-phase start-up pressure gradient are the main influencing factors of displacement characteristics. Based on a large number of field data, this paper studies the law of water flooding in Sazhong Development Zone, and analyzes the production well history data. It is found that in a period of time after the third well pattern infill, the oil field enters into the extra high water cut period, and the water drive law enters a new pattern at this time. This paper starts with entering the extra high water cut period, from type A to type B, respectively. The water drive law of each area in Sazhong Development Zone is analyzed from four aspects, namely, C type and Ding type water drive law curve. The data fitting and data difference comparison are carried out. The types of water drive curves in 12 areas of Sazhong Development Zone were selected respectively. The methods of data fitting and data difference comparison were also used. Based on the analysis of production decline law in each area of Sazhong Development Zone, this study takes the time of production decline after the completion of triple well pattern infilling as the initial production to study the decline law and remove the production measures. The influence of production system, from exponential decline, hyperbolic decline, harmonic decline to fit the production data, through analysis found. In order to get the model of water content and output with time, the output of each block in Sazhong Development Zone decreases exponentially, the rule is obvious, and the data fit well. Combining the water drive curve with the production decline curve, the theoretical model of the corresponding curve is given according to the obtained water drive law curve type and production decline type of each block in Sazhong Development Zone. The prediction models of water cut and output of each block are obtained, and by comparing the fitting accuracy, it is found that the prediction model obtained by the combined solution has higher prediction accuracy and better adaptability.
【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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本文编号：1476099