New Prospects of SAP Investigation using Multisensory Passive Spectral Acoustics

A. Senkov, O. Abramenko, V. Nagimov, A. Trusov
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Abstract

Summary Sustained Annulus Pressure (SAP) monitoring on offshore stationary platforms plays an important role in the development of oilfields with the massive gas cap. Conventional SAP diagnostic techniques is significantly limited primarily by the complexity of unwanted flowpaths in annular space and the presence of multiple pipe barriers. Multisensory passive acoustics is the novel approach evaluating SAP. Several accurately synchronized high-definition acoustic sensors measuring acoustics wave time arrival shift of the signal generating by active flow source. To take into account acoustic wave reflections in multiple strings of well construction 3D modelling of acoustic propagation is applied. The logging campaign of five wells was surveyed using slickline. Both conventional single sensor and multisensory spectral acoustics were used in the same toolstring. The multisensory acoustic data indicated active SAP sources and estimated the distance to the SAP source and flowpath separately, differentiation of that is impossible using single sensor spectral acoustics data. As a result of the campaign multisensory passive spectral acoustic instrument demonstrated additional important features on SAP source identification over conventional single sensor spectral acoustics. The most important feature is the differentiation of SAP source and flowpaths behind multiple casings. This significantly improves workover planning on SAP source isolation
利用多感官被动光谱声学研究SAP的新前景
海上固定平台的持续环空压力(SAP)监测在具有大气顶的油田开发中发挥着重要作用。常规的SAP诊断技术受到环空空间中不需要的流道的复杂性和多个管道屏障的存在的极大限制。多感官被动声学是一种评价声源噪声的新方法,由多个精确同步的高清晰度声传感器测量主动流源产生的信号的声波时移。为了考虑多井施工串的声波反射,应用了声波传播的三维建模。利用钢丝绳对5口井的测井活动进行了调查。传统的单传感器和多传感器光谱声学在同一工具串中使用。多传感器声学数据表示活跃的SAP源,并分别估计到SAP源的距离和流动路径,使用单传感器光谱声学数据是不可能区分的。结果表明,与传统的单传感器光谱声学相比,多传感器被动光谱声学仪器在SAP声源识别方面表现出了额外的重要特征。最重要的特征是不同套管背后SAP来源和流动路径的区别。这大大改善了SAP源隔离的修井计划
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