Investigation on migration of sand in gas hydrate bearing sediments

被引：0
|
作者：
Wang L. [1 ,2 ]
Liu Z. [1 ,2 ]
Han Q. [1 ,2 ]
Yu S. [1 ,2 ]
机构：
[1] State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing
[2] College of Safety and Ocean Engineering, China University of Petroleum, Beijing
来源：
Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering | 2022年 / 41卷
基金：
中国国家自然科学基金;
关键词：
hydrate sediments; hydraulic erosion model; looseness; NMR; rock mechanics; sand production;
D O I：
10.13722/j.cnki.jrme.2021.0881
中图分类号：
学科分类号：
摘要：
Gas hydrate reservoirs are characterized by loose，weakly cemented，and the framework particles are finer，which causes the sand production more complicated and serious. Indeed，sand production is one of the most serious challenges restricting the efficient exploitation of gas hydrates. According to the gas hydrate reservoirs in the Shen hu area of the South China Sea，we design and carry out experiments of sand production to reveal the mechanism during the exploitation of gas hydrate，achieving predicting the sand production for fundament of taking effective sand control measures during hydrate exploitation. The self-built multi-field and multi-scale coupling experiment platform was used to carry out the core displacement sand production experiment. The nuclear magnetic resonance(NMR) instrument was used to monitor the pore distribution and structural changes in the core during the sand production process in real time. The produced sand is timely collected，the influence of flow rate on sand production rate and sand production are analyzed as well. Then，a sand production model for hydrate reservoirs is established based on the theory of hydraulic erosion，and the model parameters are calibrated according to the experiment data. The results show that the sand production is mainly affected by the water erosion. The greater the water flow，the greater the sand production rate and the amount of sand. Besides，the sand volume is linear with water flow，thus the sand production can be efficiently predicted by the established model. © 2022 Academia Sinica. All rights reserved.
引用
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页码：3517 / 3523
页数：6
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