复杂结构井中连续压力波传播预测模型

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Song Weiqiang , Li Wenzhuang , Yu Haiyang , Ma Hai , Hou Shugang , Kong Lulin , Wang Qing
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引用次数: 0

摘要

连续压力波(CPW)被认为是一种前景广阔的钻井信息传输技术。本研究以流体力学水锤理论为基础,考虑到钻井液的可压缩性以及复杂结构井中波的反射和叠加,提出了一种定量计算 CPW 传播速度和振幅衰减的预测模型。数学模型随后通过在长度超过 600 米的弯曲管道中以水作为循环流体的实验进行了验证。结果表明,沿管压降速率为 8112 Pa/m,双曲头压降为 7070 Pa,模拟结果与实际测试误差小于 13%。CPW 的传播速度与管道中的静压呈正相关。CPW 的传播具有驻波特性,在弯曲井中受反射和堆积的影响很大。CPW 沿井向上传播时的振幅衰减可以用负指数函数来模拟。这些结果将有助于明确某些 CPW 器件的应用范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A prediction model for the propagation of continuous pressure waves in complex structure wells
Continuous pressure wave (CPW) is regarded as promising information transmission technology while drilling. Based on fluid dynamics water hammer theory, this study proposes a prediction model for quantitatively calculating the propagation velocity and amplitude attenuation of CPW with consideration of the compressibility of the drilling fluid and the reflection and stacking of waves in complex structure wells. The mathematical model is then validated by the experiments with water as circulating fluid in curved pipe with length exceeding 600m. The results show that, the pressure drop rate along the pipe is 8112 Pa/m, and the pressure drop of the double curved head is 7070 Pa, and the error of the simulation results is less than 13 % compared with real tests. The propagation velocity of the CPW is in positive correlation with the static pressure in the pipe. The CPW propagates with standing wave characteristics, and it is significantly influenced by the reflection and stacking in curved wells. The amplitude attenuation of the CPW could be models with negative exponential function during propagation upward along the well. The results would facilitate to clarify the application scope of certain CPW devices.
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来源期刊
Flow Measurement and Instrumentation
Flow Measurement and Instrumentation 工程技术-工程:机械
CiteScore
4.30
自引率
13.60%
发文量
123
审稿时长
6 months
期刊介绍: Flow Measurement and Instrumentation is dedicated to disseminating the latest research results on all aspects of flow measurement, in both closed conduits and open channels. The design of flow measurement systems involves a wide variety of multidisciplinary activities including modelling the flow sensor, the fluid flow and the sensor/fluid interactions through the use of computation techniques; the development of advanced transducer systems and their associated signal processing and the laboratory and field assessment of the overall system under ideal and disturbed conditions. FMI is the essential forum for critical information exchange, and contributions are particularly encouraged in the following areas of interest: Modelling: the application of mathematical and computational modelling to the interaction of fluid dynamics with flowmeters, including flowmeter behaviour, improved flowmeter design and installation problems. Application of CAD/CAE techniques to flowmeter modelling are eligible. Design and development: the detailed design of the flowmeter head and/or signal processing aspects of novel flowmeters. Emphasis is given to papers identifying new sensor configurations, multisensor flow measurement systems, non-intrusive flow metering techniques and the application of microelectronic techniques in smart or intelligent systems. Calibration techniques: including descriptions of new or existing calibration facilities and techniques, calibration data from different flowmeter types, and calibration intercomparison data from different laboratories. Installation effect data: dealing with the effects of non-ideal flow conditions on flowmeters. Papers combining a theoretical understanding of flowmeter behaviour with experimental work are particularly welcome.
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