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Effectiveness of the Sand out Monitoring Method by Applying Vibration Signal Analysis |
LIU Gang1, HAN Jinliang1, CHEN Chao1, YANG Quanzhi1, LI Yuhong2 |
1. College of Petroleum Engineering in China University of Petroleum, Qingdao 266580, Shandong Province, China;2. Institute of Porous Flow and Fluid Mechanics, Chinese Academy of Sciences, Langfang 065007, Hebei Province, China |
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Abstract: The moderate sand mining technology of heavy oil field needs one kind of effective real-time monitoring system for monitoring the signal of sand out. However, the existing measuring methods, such as acoustic method and electrical resistant method, all have different problems in the actual productions. To solve these problems, a proposal that the sand fluid impact wall vibrations signal could be used as a new way for sand out monitoring is offered. In order to verify the effectiveness of the approach, a simulation system of sand out from well has been established in the laboratory, the system accepts the vibration signals of sand impact by using the acceleration sensor, and the dynamic signal processing method is adopted to process the data. In order to make the experiments consistence with actual situations, the high viscosity of gear oil is used to simulate the heavy oil in the system, and piston pump and heating blender is used to realize the simulation of sand out from oil well production. The apparent vibration signal of sand out is able to receive by the system. Through the dynamic signal analysis method, the data is processed using power spectrum analysis. The system could effectively monitor the change of sand content as the sand content increasing, the variance value, mean square root value, power spectrum amplitude of sand vibration signal and characteristic value of signals will increase. By the means of processing data, the test indicates that using the vibration signal from sand for monitoring sand out has the good effectiveness.
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Received: 14 March 2012
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[1] |
FENG Lijie, FAN Yao. Target Identification Using Multiple Sensors Based on D-S Evidence Theory Characteristics[J]. journal1, 2014, 32(15): 32-36. |
[2] |
SHI Wenzao, WANG Ping, ZHANG Jiannan. Design of Mobile Robot Based on Predefined Path[J]. journal1, 2014, 32(13): 15-18. |
[3] |
LIU Gang;LIU Pengtao;HAN Jinliang;CHEN Chao. Status and Development Trends of Sand Monitoring Technology of Oil Wells[J]. , 2013, 31(25): 75-79. |
[4] |
MENG Jing;LIU Shouqiang;. Study and Implementation of Wireless Sensor Networks' Trust Collaboration based on Bio-inspired Trust and Reputation Model[J]. , 2011, 29(24): 71-76. |
[5] |
. Preparation and Development of TiO2 Nanotubes Application in Gas Sensors[J]. , 2011, 28(11-12): 71-74. |
[6] |
. Detection System for Ultrahigh Vehicle Based on Laser Sensor[J]. , 2011, 29(11-08): 63-66. |
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