新疆石油地质

• 油气勘探 •    下一篇

基于分布式光纤温度传感的井温恢复注入剖面测井评价方法


  

  1. (1.长江大学 地球物理与石油资源学院,武汉 430100;2.中国石油集团 测井重点实验室 长江大学研究室,武汉 430100; 3.中国石油 青海油田分公司 测试公司,青海 茫崖 816499;4.中国石油 大港油田分公司 测试公司,天津 300280)
  • 出版日期:2026-04-09 发布日期:2026-04-09

An Injection Profile Log Evaluation Method Based on Distributed Temperature Sensing and Using Wellbore Temperature Recovery Data

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  1. (1. School of Geophysics and Petroleum Resources, Yangtze University, Wuhan, Hubei 430100, China; 2. Yangtze University Division, Key Laboratory of Well Logging, CNPC, Wuhan, Hubei 430100, China; 3. Testing Company, Qinghai Oilfield Company, PetroChina, Mangya, Qinghai 816499, China; 4. Testing Company, Dagang Oilfield Company, PetroChina, Tianjin 300280, China)
  • Online:2026-04-09 Published:2026-04-09

摘要: 多层油藏的注入剖面评价对成功实施注水开发和有效管理油藏至关重要,分布式光纤温度传感(DTS)技术 可获取储层信息,其测量频率高、成本低、对环境及人员风险低,但传统DTS反演模型过于依赖稳态温度数据,为提高 评价精度和效率,提出了一种基于DTS的井温恢复注入剖面测井评价方法。首先,基于多物理场耦合理论,利用数值 模拟构建了多层注水井温度场模型,系统分析了不同注入条件和关井时井筒与储层温度场变化规律;其次,建立了一 种基于特征回温指数的注入剖面评价模型,根据回温数据反演各层吸水量,并利用数值模拟数据验证了提出的井温 恢复注入剖面测井解释模型的有效性;最后,将该模型应用于2口现场实测注水井DTS数据和生产测井工具温度数 据,评价结果与同位素解释结果一致性好,解释误差大部分都小于15%,验证了模型的可靠性和实用性。研究结果可 为优化注水开发与储层动态监测提供理论支持。

关键词: 分布式光纤温度传感, 井温恢复, 油藏, 注入剖面, 温度场模型, 数值模拟, 测井评价

Abstract: Evaluation of injection profile for multi⁃layer reservoirs is vitally important for successful water injection development and effective reservoir management. It can be achieved by using distributed temperature sensing (DTS) technology, which provides reservoir information with high measuring frequency, low cost, and low risk to environment and personnel. However, conventional DTS inversion model depends heavily on steady temperature data. To improve the evaluation accuracy and efficiency, this paper proposes an injection profile log evaluation method based on DTS and using wellbore temperature recovery data. First of all, according to the multi⁃field coupling theory and numerical simulation, a temperature field model for injection well in multi⁃layer reservoirs was constructed to analyze the temperature varia⁃ tion in wellbore and reservoirs under different injection conditions and shut⁃in time. Then, an injection profile evaluation model based on the characteristic temperature recovery index was established to invert the water absorption of each layer using temperature recovery data. Moreover, the proposed model of injection profile log evaluation using wellbore temperature recovery data was validated through numerical simulation. Finally, the model was applied to the data measured by DTS and production logging tool (PLT) in two water injection wells. The application results are found consistent with the isotope interpretation, with the errors mostly below 15%, verifying the reliability and practicability of the model. The study provides theoretical support for optimizing water⁃injection development and reservoir dynamic monitoring.

Key words: distributed temperature sensing, wellbore temperature recovery, reservoir, injection profile, temperature field model, numerical simulation, log evaluation

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