注水井综合参数测试仪的改进与应用

发布时间：2018-03-24 05:42

  本文选题：注水井　切入点：注水稳定性　出处：《东北石油大学》2017年硕士论文

【摘要】：2008年起,油田开始实施注水井年三次测调,测调工作量大幅度增加。2013年萨北油田利用分层监测技术进行了19口井58个层段的长期动态监测,结果表明,一个测调周期后需要重新测调的井和层分别占62%和26%,可以初步看出,测调周期需要个性化调整,以保证注水合格率,并实现测调资源合理配置。但由于当时监测井数较少,且仅有少数井达到6个月,不具备全面代表性。因此在萨北油田北三西区块开展注水井个性化测调周期研究,深入分析注水井动态变化规律。课题利用注水井多参数动态监测仪可以对分层注水井生产过程中的压力、流量、温度的长期动态监测功能,选取北三西水驱区块41口井90个层段进行了长期监测。优化了该仪器的回放功能,增加了“水嘴磨损修正功能”和“吸水系数曲线绘制功能”。同时,通过统计监测结果,初步确定影响注水稳定性的因素主要有:井网类型、层段数、层段注水量、层段性质和水嘴尺寸,通过对监测结果的统计分析,确定了测调周期的五个主要影响因素,在此研究基础上,利用遗传算法确定了测调周期预测方法,现场验证符合率可达91.8%。利用该方法对北三西全部注水井测调周期进行预测,结果表明,可以实现在测调工作量基本不增加的基础上提高注水合格率。利用注水井综合参数监测仪对油层吸水状况的长期监测功能,初步掌握了地层吸水稳定状况的影响因素,并制定了个性化的测调周期,有助于测调资源的合理配置,同时,可提高注水合格率,保证水驱开发效果,具有广阔的应用前景。
[Abstract]:Since 2008, the oil field began to carry out three times of annual logging and adjustment of water injection wells, and the workload of logging has increased greatly. In 2013, Sabei Oilfield used stratified monitoring technology to carry out long-term performance monitoring of 58 formations in 19 wells. The results show that, 62% and 26% of the wells and beds need to be re-measured after a survey period. It can be preliminarily seen that the adjustment cycle needs individuation adjustment to ensure the qualified rate of water injection and to realize the rational allocation of survey and adjustment resources. However, the number of monitoring wells at that time was relatively small. Only a few wells have reached 6 months, which is not fully representative. Therefore, a study on the individualized logging cycle of water injection wells has been carried out in the north Sanxi block of Sabei Oilfield. The multi-parameter dynamic monitoring instrument of water injection wells can be used to monitor the long-term performance of pressure, flow and temperature in the production of stratified water injection wells. The long-term monitoring of 90 layers of 41 wells in North Sanxi Water flooding Block was carried out. The playback function of the instrument was optimized, and the functions of "water nozzle wear correction" and "drawing water absorption coefficient curve" were added. At the same time, through statistical monitoring results, The main factors that influence the stability of water injection are: type of well pattern, number of layers, injection rate of interval, property of interval and size of nozzle. Through statistical analysis of monitoring results, five main influencing factors of measuring and adjusting period are determined. On the basis of this research, the prediction method of the measuring and adjusting period is determined by using genetic algorithm, and the coincidence rate of field verification can reach 91.8%. The method is used to predict the logging adjustment period of all the water injection wells in the north, three and west, and the results show that, It is possible to improve the qualified rate of water injection on the basis of no increase in the workload of testing and adjusting. By using the long-term monitoring function of the comprehensive parameter monitor of water injection wells to monitor the water absorption status of the reservoir, the factors affecting the water absorption and stability of the formation are preliminarily grasped. The individualized measuring and adjusting cycle is established, which is helpful to the rational allocation of the measuring and adjusting resources, at the same time, it can improve the qualified rate of water injection and ensure the development effect of water drive. It has a broad application prospect.
【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】：TE357.62
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本文编号：1656970