分布式光纤传感 (DFOS) 可以从高温、高速率气井中连续收集流量剖面信息。整篇论文中描述的案例研究的目的是证明热反演模型可用于在无法进行常规生产测井的环境中生成生产流剖面。部署 DFOS 后，可以以更实际的速率获取数据。通过对分布式温度传感（DTS）数据进行热反演和对分布式声学传感（DAS）数据进行分析，获得了更准确的流动剖面。
Culzean 是北海中部的一个高压高温凝析气田。
Distributed fiber-optic sensing (DFOS) allowed the continuous gathering of flow-profile information from a high-temperature, high-rate gas well. The objective of the case study described in the complete paper is to demonstrate that thermal inversion modeling can be used to produce a production-flow profile in an environment where conventional production logging is not possible. As a result of deploying DFOS, data can be acquired at more-realistic rates. Through performing of thermal inversion of distributed temperature sensing (DTS) data and analysis of distributed acoustic sensing (DAS) data, a more-accurate flow profile was achieved.
Culzean is a high-pressure/high-temperature gas condensate field in the central North Sea.
