昂贵多相流回路测试的数字孪生体开发下一代生产技术

M. A. Karimi, M. Arsalan, A. Shamim
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引用次数: 0

摘要

多相流是油气上游行业中经常遇到的问题,对多相流量计等众多生产技术的发展产生了重大影响。在将这些技术应用于油气田之前,需要在模拟多相测试条件的多相工业流环测试中对这些技术进行测试。本文提出了一种两相流(油和水)的数字孪生,作为昂贵的多相流测试的低成本替代方案。我们采用逆向策略设计了多相流数字孪生体。首先,我们在可变测试条件下的工业流量回路中对我们专有的微波含水率(WC)计进行了表征。然后,建立了多个流态的数字模型,并在微波WC仪上进行了测试。其中一种模型(旋转之字形)能够在不同盐度水平下的油连续和水连续流动条件下准确预测WC传感器在全WC范围内的响应。记录和比较了两组响应-第一组来自工业流循环试验,第二组来自我们的电磁模拟模型。对不同条件下微波谐振器的谐振频率(f0)和质量因子(Q)等关键参数进行了比较。对比表明,f0和q因子分别在油连续和水连续流动条件下对WC的敏感性较高。此外,还比较了在20,000 ppm至80,000 ppm范围内不同盐度条件下WC传感器的性能,并且数字孪生也能够成功预测这些条件下传感器的响应。大量的资源被用于设置所需的流动条件,如流动状态、WC和所需的盐度水平。我们提出的数字孪生模型能够以微不足道的成本模拟所有这些多相流条件。它可以帮助开发和测试新的生产技术,而无需花费大量资金进行冗长,复杂和昂贵的多相流回路测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin of Expensive Multiphase Flow Loop Test to Develop Next Generation of Production Technologies
Multiphase flow is frequently encountered in upstream O&G industry that has significant impact on the development of numerous production technologies such as multiphase flowmeter. Before the deployment of these technologies in an oil/gas field, the technologies are tested in a multiphase industrial flow loop test that emulates multiphase test conditions. This paper presents a digital twin of 2-phase flow (oil & water) as a low cost alternative to expensive multiphase flow test. We have adopted backward strategy to design the digital twin of multiphase flow. At first, we characterized our proprietary microwave water-cut (WC) meter in an industrial flow loop in variable test conditions. Then, multiple digital models of the flow regimes were built and tested on our microwave WC meter. One of those models (rotated zigzag) was able to accurately predict WC sensor response over full WC range in oil continuous as well as water continuous flow conditions under varying salinity levels. Two sets of responses have been recorded and compared – first obtained from the industrial flow loop trials and second from our EM simulation model. Key microwave resonator parameters such as resonant frequency (f0) and quality (Q) factor have been compared under varying conditions. The comparison suggests that f0 & Q-factor give higher sensitivity against WC in oil continuous and water continuous flow conditions respectively. Moreover, WC sensor performance was also compared under varying salinity conditions in the range of 20,000 ppm to 80,000 ppm and digital twin is able to successfully predict the sensor response in these conditions as well. Significant amount of resources are spent on setting desired flow condition such as flow regime, WC and required salinity level. Our proposed digital twin model is able to emulate all of these multiphase flow conditions at negligible cost. It can help develop & test new production technologies without requiring to spend huge amount of money on lengthy, complex and expensive multiphase flow loop tests.
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