期刊文献+

多层合采智能井井筒温度场预测模型及应用 预览

Temperature Field Prediction Model for Multi-Layer Commingled Production Wellbore in Intelligent Wells and It's Application
在线阅读 下载PDF
收藏 分享 导出
摘要 智能井多层合采过程中为了优选温度监测设备和确定测点位置,需要准确预测井筒温度剖面。根据智能井多层合采过程中的井筒内流体流动特征,考虑流体经过流量控制阀时,节流效应对井筒内流体流动参数的影响,建立了含流量控制阀的单油管多层合采井筒温度预测模型,并结合生产井的工况进行了数值模拟。模型预测结果表明,井筒温度随产层产出液性质、产液量、产层厚度、产层配比和地层温度梯度的变化呈规律性变化;与各产层单独开采相比,合采时的井筒温度高于各产层单独开采时的平均温度,且合采时的温度梯度最低。为了有效应用多层合采井筒温度场预测模型,基于流量控制阀处温度测量误差最小的原则,提出了温度传感器指标及测点的优选方法;基于井筒温度、温度梯度及流量控制阀处温降变化规律,提出了产层温度异常的解释方法。多层合采智能井井筒温度场预测模型为多层合采智能井温度测量装置的优选和温度变化规律的解释提供了理论依据。 In order to optimize the temperature monitoring equipment and properly determine the positions of measuring points for the multi-layer commingled production of intelligent wells,it is necessary to accurately predict the whole wellbore temperature profile.According to the characteristics of fluid flow in the commingled production wellbore of intelligent wells,a prediction model for single-tubing multi-layer commingled production wellbore temperature with the flow control valve was established.Taking the throttling effect of flow control valve on fluids flow parameters in the system into account,a numerical simulation was carried out in combination with the working conditions of production wells.The model prediction results showed that the wellbore temperature changed regularly with several variables,including the produced fluids properties,liquid production rate,thickness of payzone,production allocation of each layer and geothermal gradient.Compared with the individual production layer,the wellbore temperature of commingled production wells is higher than the average temperature of wells with individually produced layer,and the temperature gradient of commingled production wellbore is the lowest.Based on the principle of minimum temperature measurement error at the flow control valve,an optimization method for temperature sensor index and measuring point was proposed.Taking into consideration the wellbore temperature,temperature gradient and the laws of temperature drop at flow control valve,it was possible to obtain an interpretation method of production layer temperature anomaly.The temperature field prediction model of multi-layer commingled production wellbore in intelligent wells provided a theoretical basis for optimizing the temperature measuring equipment and temperature data interpretation in multi-layer commingled production.
作者 杨顺辉 豆宁辉 赵向阳 柯珂 王志远 YANG Shunhui;DOU Ninghui;ZHAO Xiangyang;KE Ke;WANG Zhiyuan(Sinopec Research Institute of Petroleum Engineering,Beijing,100101,China;School of Petroleum Engineering,China University of Petroleum(Huadong),Qingdao,Shandong,266580,China)
出处 《石油钻探技术》 CAS CSCD 北大核心 2019年第4期83-91,共9页 Petroleum Drilling Techniques
基金 国家科技重大专项“海上油气田关键工程技术”(编号:2016ZX05033-004)资助。
关键词 智能井 多层合采 温度剖面 流量控制阀 温度传感器 Intelligent well multi-layer commingled production temperature profile flow control valve temperature sensor
作者简介 杨顺辉(1973-),男,河南洛阳人,1995年毕业于大庆石油学院采油工程专业,2008年获中国石油大学(华东)石油与天然气工程专业工程硕士学位,研究员,主要从事欠平衡/控制压力钻井、钻井工具及采油工艺方面的研究工作。E-mail:yangsh.sripe@sinopec.com
  • 相关文献

参考文献10

二级参考文献58

共引文献13

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈
新型冠状病毒肺炎防控与诊疗专栏