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Gas-Water Stratified Flow Identification Based on Electromagnetic Image Logging

  • Liu Zaibin
  • Wu Xiling
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 128)

Abstract

Aiming at the most familiar gas-water stratified flow in the highly deviated or the horizontal gas wells, based on electromagnetic image logging technology, the identification method for stratified smooth flow and stratified wavy flow is researched. Firstly, the similar characteristics in the flow section of all the gas-water flow patterns in the horizontal or inclined pipe are picked up. According to the abstract of the characters, material distribution models are built up. Secondly, the electromagnetic image logging measurement responses of all the four material distribution models are simulated and the peculiarity of each response is analyzed. Thirdly, the character related to the models is computed as a parameter from the measurements. By using the parameter, the stratified model is separated from other models and water holdup is computed. Finally, by using pattern recognition method to identify the transformation rules of the material distribution models in the flow section, the gas-water stratified flow is distinguished. With this method, flow patterns identification and water holdup computation can be quicker and more accurate than analyzing the reconstructed images.

Keywords

Flow Pattern Slug Flow Annular Flow Pattern Recognition Method Flow Section 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.China Special Equipment Inspectionand and Research InstituteBeijingPeoples Rep/China
  2. 2.College of Geophysics and Information Engineering ChinaUniversity of Petroleum-BeijingBeijingChina

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