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Flow pattern identification in oil wells by electromagnetic image logging Flow pattern identification in oil wells by electromagnetic image logging

Flow pattern identification in oil wells by electromagnetic image logging

  • 期刊名字:石油科學(英文版)
  • 文件大小:
  • 論文作者:Liu Zaibin,Wu Xiling,Liu Zaibi
  • 作者單位:Gas Storage Well and Advanced Technology Development & Application Division,College of Geophysics and Information Engine
  • 更新時間:2023-02-01
  • 下載次數(shù):
論文簡介

Petroleum production logging needs to determine the interpretation models first and flow pattern identification is the foundation,but traditional flow pattern identification methods have some limitations.In this paper,a new method of flow pattern identification in oil wells by electromagnetic image logging is proposed.First,the characteristics of gas-water and oil-water flow patterns in horizontal and vertical wellbores are picked up.Then,the continuous variation of the two phase flow pattern in the vertical and horizontal pipe space is discretized into continuous fluid distribution models in the pipeline section.Second,the electromagnetic flow image measurement responses of all the eight fluid distribution models are simulated and the characteristic vector of each response is analyzed in order to distinguish the fluid distribution models.Third,the time domain changes of the fluid distribution models in the pipeline section are used to identify the flow pattern.Finally,flow simulation experiments using electromagnetic flow image logging are operated and the experimental and simulated data are compared.The results show that the method can be used for flow pattern identification of actual electromagnetic image logging data.

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