本文全面探讨了多相流量计（MPFM）在全球范围内的应用，并以一个智能油田为例，阐述了其在评估MPFM技术方面的应用。该智能油田涵盖了市面上多种类型的MPFM，因此是评估MPFM技术的典范。研究揭示了从不同运行环境中汲取的经验教训和最佳实践，这些经验教训和实践推动了强大的自动诊断解决方案的开发，从而提升了MPFM的性能。
近期现场研究表明，多参数流量计的性能会因资产的具体特性和操作方式而异。这些应用经验表明，必须具备强大的自动诊断功能和持续校准机制，以应对测量不确定性并保持高标准的数据完整性。
一项针对多个陆上油田的基准研究发现，其中一个油田在安装多级流量流量计（MPFM）后，井测试不合格率特别高，导致效率低下和油藏管理不善。经过深入调查，确定了故障源，并开发了一种自动诊断工具，该工具通过集成实时设备报警信息，自动检测MPFM故障，从而确保井测试质量，并现场识别设备或流体性质问题。
This paper offers a comprehensive exploration into the field applications of multiphase flowmeters (MPFMs) across global contexts and the insights from a smart oil field that represents an exemplary sample for evaluating MPFM technologies because it encompasses several types of MPFM available in the market. The study uncovers lessons learned and best practices derived from diverse operational environments that drove the development of a robust autodiagnostic solution to enhance MPFM performance.
Recent field studies have demonstrated that the performance of MPFMs can vary widely depending on asset-specific characteristics and operational practices. Lessons learned from these applications highlight the necessity for robust autodiagnostic capabilities and continuous calibration to address measurement uncertainties and maintain high standards of data integrity.
A benchmark study across several onshore assets revealed one asset in particular experiencing high well-test-rejection rates after MPFM installation, resulting in inefficiency and poor reservoir management. After an in-depth investigation, the sources of errors were identified and an autodiagnostic tool was developed to detect MPFM issues automatically by integrating real-time equipment alarms, ensuring well-test quality and identifying equipment or fluid property problems on the spot.
