Abstract Virtual Flow Metering (VFM) is an increasingly attractive method for estimation of
multiphase flowrates in oil and gas production systems. Instead of using expensive …

After extensive research and development over the past three decades, a range of
techniques have been proposed and developed for online continuous measurement of …

Accurate and efficient prediction of well production is essential for extending a well's life
cycle and improving reservoir recovery. Traditional models require expensive computational …

Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

Swirling flow is one of the commonly-recognized techniques to control working processes in
various engineering fields. A fundamental understanding of the swirling flow pattern is …

In oil fields, multiphase flow meters (MPFMs) yield important data for proper reservoir
management to maximize the oil-gas production throughput. MPFMs are also required in …

Multiphase flow pattern identification is of utmost importance to the energy industry, given
that thermohydraulic operating conditions are drastically affected by flow and heat transfer …

Real-time production monitoring in oil and gas industry has become very significant
particularly as fields become economically marginal and reservoirs deplete. Virtual flow …

针对离心泵气液两相压升难以准确预测的问题, 该研究构建了基于机器学习的离心泵压升预测
模型. 通过试验获得入口体积含气率, 转速和液相流量对离心泵两相压升性能的影响规律 …

Real-time monitoring of multiphase fluid flows with distributed fibre optic sensing has the
potential to play a major role in industrial flow measurement applications. One such …