摘要
目前分布式温度测试(DTS)大部分应用在陆上水平井的生产状况监测,但对海上井的温度剖面预测认识不足。基于Adaptive Genetic算法建立了DTS数据反演模型,并在井筒模型中增加了防砂修正数学模型,最终形成了一套基于DTS的海上水平井双目标参数产出剖面解释方法。通过模拟分析了产量、渗透率等七个因素对温度剖面的影响,确定渗透率和含水率是影响井筒温度剖面的关键控制参数。采用建立的反演方法,对一口现场实例井的DTS进行了反演。结果表明温度剖面反演结果与现场实测值高度吻合,反演获得的各产层产量与现场实测值的平均误差为7.76%,验证了反演模型的准确性。能够准确识别主力产层和出水位置,为堵水调剖、生产制度优化提供可靠的技术支撑。
Currently,distributed temperature sensing(DTS)is predominantly applied to production condition monitoring in onshore hori⁃zontal wells,but there remains insufficient understanding of temperature profile prediction for offshore wells.A DTS data inversion model is established based on the adaptive genetic algorithm,incorporating a sand control correction mathematical model into the wellbore model.This ultimately forms a dual⁃objective parameter⁃based production profile interpretation method for offshore horizontal wells using DTS.The impact of seven factors,including production rate and permeability,on temperature profiles,is analyzed through simulations,identifying permeability and water cut as the key controlling parameters influencing wellbore temperature profiles.The developed inver⁃sion method is applied to a field example well's DTS data.Results demonstrate high agreement between the inverted temperature profile and field measurements,with an average error of 7.76%between the inverted production rates of each productive layer and field meas⁃urements,validating the accuracy of the inversion model.The method accurately identifies the main productive layers and water cut loca⁃tions,providing reliable technical support for water blocking and profile adjustment,as well as production regime optimization.
作者
罗红文
潘晓艺
李海涛
郝佳婷
陈柄杞
冉飞飞
熊瀚澜
张玺亮
左凯
LUO Hongwen;PAN Xiaoyi;LI Haitao;HAO Jiating;CHEN Bingqi;RAN Feifei;XIONG Hanlan;ZHANG Xiliang;ZUO Kai(School of Petroleum and Natural Gas Engineering,Southwest Petroleum University,Chengdu Sichuan 610500,China;Engineering Technology Branch,CNOOC Energy Development Co.,Ltd.,Tianjin 300452,China)
出处
《传感技术学报》
北大核心
2025年第12期2182-2191,共10页
Chinese Journal of Sensors and Actuators
基金
中国石油科技创新基金项目(2022DQ02-0305)。
关键词
自适应遗传算法
水平井
反演模型
产出剖面
分布式光纤
adaptive genetic algorithm
horizontal well
inversion model
production profile
distributed optical fiber
