摘要
分布式光纤声波传感DAS技术已成为水平井生产动态监测的重要技术手段,然而水平井生产过程中地层流体流入引发的声波响应规律尚未明确,基于DAS数据定量解释水平井产出剖面仍存在较大挑战。通过自研水平井声波剖面光纤监测物模实验系统,模拟测试不同原油粘度、含水率、流体流速等关键工况下的DAS声波信号,提取信号特征频域与频带能量特征参数,系统剖析两相流水平井生产过程中的DAS响应特性,绘制不同工况下DAS声波能量与井筒流体流速关系图版,通过数据回归构建DAS声波能量与井筒流体流速的关系模型库,采用遗传算法(GA)构建DAS数据反演模型,实现水平井两相流产出剖面的定量解释。现场应用结果表明,单一产层段最大流量误差为12.3%、平均流量误差为8.18%,验证了反演模型的可靠性,为水平井生产优化、出水诊断及产出剖面均衡调控提供支撑。
Distributed acoustic sensing(DAS)technology has become an important technical means for dynamic monitoring of horizontal well production.However,the acoustic response law caused by formation fluid in flow during horizontal well production is not yet clear,and there are still great challenges in quantitatively interpreting horizontal well production profiles based on DAS data.A self⁃developed physical simulation experimental system for optical fiber monitoring of horizontal well acoustic profiles is used to simulate and test DAS acoustic signals under key working conditions such as different crude oil viscosities,water cut,and fluid flow rates.The characteristic frequency domain and frequency band energy characteristic parameters of the signals are extracted,and the DAS response characteristics during the production process of horizontal wells with two⁃phase flow are systematically analyzed.Correlation charts of DAS acoustic en⁃ergy and fluid in flow velocity under different working conditions are drawn,and a relationship model library between DAS acoustic ener⁃gy and fluid in flow velocity is constructed by means of data regression.Combined with the principle of mass conservation,a DAS data inversion model is builtly using genetic algorithm to realize the quantitative interpretation of two⁃phase flow production profiles in hori⁃zontal wells.Field application results show that the maximum flow rate error of a single production layer is 12.3%and the average flow rate error is 8.18%,which fully verifies the reliability of the inversion model and provides effective technical support for horizontal well development optimization,water breakthrough diagnosis and balanced regulation of production profiles.
作者
罗红文
陈柄杞
李海涛
冉飞飞
张玺亮
蒋贝贝
左凯
李颖
LUO Hongwen;CHEN Bingqi;LI Haitao;RAN Feifei;ZHANG Xiliang;JIANG Beibei;ZUO Kai;LI Ying(School of Petroleumand and Natural Gas Engineering,Southwest Petroleum University,Sichuan Chengdu 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2192-2199,共8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
产出剖面
声波响应规律
DAS物模实验
反演模型
遗传算法
油水两相水平井
production profile
acoustic response law
DAS physical experiment
inversion model
genetic algorithm
oil⁃water two⁃phase horizontal well
