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A CASE STUDY OF OPTICAL SENSING APPLICABILITY IN RESERVOIR SURVEILLANCE-THE NON UNIQUE SOLUTION DILEMMA

机译:储层监测中光学传感适用性的案例研究 - 非独特溶液困境

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Measured temperature behaviour over the reservoir section in a production or injection well is influenced by various factors,including reservoir presence, reservoir quality,completion architecture and fluid flow profile.In the producing section of a well,temperature is dominated by effects resulting from flow,and the relative proportion of the fluid phases.This temperature can be used to estimate a production profile including the relative amount of fluid produced at each interval.Oil,gas and water fluid phases have different thermal properties and in a controlled environments,the temperature can help define the proportion of each phase being produced. In conventional production logging,tool strings include a temperature sensor.Temperature can also be obtained by deploying optical DTS(Distributed Temperature Sensing)in the well. This paper discusses some of the parameters that control temperature behaviour in producing wells.How sensitive the temperature is relative to these parameters and how unique that production profile is when back- calculated from temperature data. A robust flow profile was build using conventional production logging data using the temperature as an additional constraint.A series of flow scenarios were identified with production logs from offset wells and used in sensitivity analysis modelling.This was the basis for a feasibility study for DTS deployment. Several cases were found where the temperature profile was identical to a chosen base case temperature,for very different inflow scenarios.These different scenarios were significant enough to impact well remediation or reservoir management decisions.This paper presents the critical parameters used in DTS profile analysis and the associated uncertainty for this environment.The addition of qualitative DAS (Distributed Acoustic Sensing)data will be demonstrated as a key input to help constraint the possible scenarios and achieve a more unique solution.
机译:在生产或喷射井中的储存器部分上测量的温度行为受到各种因素的影响,包括储层存在,储层质量,完成建筑和流体流动曲线。在井的生产部分,温度由流量引起的效果主导,和流体相的相对比例。该温度可用于估计包括在每个间隔内产生的流体相对量的生产分布。油气和水流体阶段具有不同的热性质和受控环境,温度可以帮助定义正在产生的每个阶段的比例。在传统的生产记录中,刀具串包括温度传感器。通过在井中部署光学DTS(分布式温度感测),也可以获得温度。本文讨论了控制生产井中温度行为的一些参数。敏感温度与这些参数相对于这些参数以及从温度数据备份时,生产曲线是多么独特。使用常规的生产测井数据使用使用温度作为附加约束的传统生产记录数据构建鲁棒流程。一系列流程,用偏移井的生产日志识别,并用于敏感性分析。这是对DTS部署的可行性研究的基础。发现了几种情况,其中温度曲线与所选择的基础壳体温度相同,对于非常不同的流程。这些不同的情景对于影响良好的修复或储层管理决策来说是足够的。本文提出了DTS配置文件分析中使用的关键参数和这种环境的相关不确定性。添加定性DAS(分布式声学传感)数据将被证明为键输入,以帮助约束可能的场景并实现更独特的解决方案。

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