Identification of horizontal slug flow structures for application in selective cross-correlation metering

Drury, Ross; Hunt, Andrew; Brusey, James

doi:10.1016/j.flowmeasinst.2018.12.002

Cited by 22 publications

(9 citation statements)

References 31 publications

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“…When selecting a zonal configuration, the size of the zones needed to improve signal strength must be weighed against the spatial resolution ensuring that necessary information is not lost [3]. Different zonal configurations have been assessed in the past, where particular configurations allow obtaining velocity profiles along certain symmetrical axis depending on the flow structure [2]. Given the broad range of flow conditions under assessment in this work, yielding various flow configurations, a 13-zone configuration was used, illustrated in Fig.…”

Section: Combining Grt and Ectmentioning

confidence: 99%

“…In this regard, Industrial Process Tomography (IPT) has experienced large interest and development in the past decades due to its non-invasive characteristics, low costs, speed, and size flexibility [1]. IPT technologies have the ability to measure the cross-sectional phase distribution and to identify flow patterns [2] [3], which could potentially be used in conjunction to develop a generalised approach to multiphase metering.…”

Section: Introductionmentioning

confidence: 99%

“…The cross-correlation technique used has been broadly studied in the literature and proved to be a useful tool for pipeline velocity measurement [16] [17]. The approaches taken by various authors are diverse, ranging from assessment of time series of cross-sectionally averaged void fractions [18] to the study of the motion of interfaces of fluid structures for varying cross-sectional arrangements [2], encompassing either raw data or reconstructed images. Conducted research shows that the cross-correlation velocity is a structural velocity, which departs from the mixture velocity depending on the flow parameters, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Multimodal Two-Phase Flow Measurement Using Dual Plane ECT and GRT

Stavland

Arellano

Hunt³

et al. 2021

IEEE Trans. Instrum. Meas.

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The present work assesses the accuracy two phase flow measurement, based on cross-correlation and cross-spectrum velocity computation, using dual plane non-intrusive Electrical Capacitance Tomography (ECT), over a broad spectrum of horizontal flow configurations, combined with fraction distribution measurements from Gamma-ray Tomography (GRT). The measurement of two-phase flow encompasses the measurement of both the velocity and the phase concentration of the flow components. The accuracy of the flow velocity is still an open discussion and remains a key challenge in the field of multiphase flow measurement. The velocities of the two-phase components vary, both in between them, and across the pipe crosssection. This study assesses the use of cross-correlation techniques as methods for calculating the cross-sectional velocity distribution by deriving the transit time of the fluid flowing through two parallel ECT sensor arrays mounted on the perimeter of a pipe. The spectral distribution of the velocities is assessed for improved accuracy of individual component velocities. A dual-plane ECT is adopted for the velocity measurements and are combined with state-of-the-art density-based cross-sectional phase fraction distribution from a GRT system to measure the volumetric flow rates of the two phases. The results show that the cross-spectrum method provides enhanced velocity estimation for both flow phases over the conventional cross-correlation technique. Further improvement was reported using a simple predictive correction model resulting in flowrate estimation accuracy of ±10%.The method for two-phase flow measurement suggested in this work leverages the accuracy of the tomography systems on accurate fraction measurement and fast data acquisition to lead to potential enhancement in process control by enabling a more accurate prediction of components velocities.

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Section: Combining Grt and Ectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multimodal Two-Phase Flow Measurement Using Dual Plane ECT and GRT

Stavland

Arellano

Hunt³

et al. 2021

IEEE Trans. Instrum. Meas.

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“…Electric capacitance tomography has been used for many years and the technology has been widely investigated [72,73,74,75,76,77,78]. In the electrical capacitance tomography a multi-electrode sensor obtains capacitance measurements.…”

Section: Multi-phase Flow Meteringmentioning

confidence: 99%

Multi-Phase Flow Metering in Offshore Oil and Gas Transportation Pipelines: Trends and Perspectives

Hansen

Pedersen

Durdevic

2019

Sensors

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Multi-phase flow meters are of huge importance to the offshore oil and gas industry. Unreliable measurements can lead to many disadvantages and even wrong decision-making. It is especially important for mature reservoirs as the gas volume fraction and water cut is increasing during the lifetime of a well. Hence, it is essential to accurately monitor the multi-phase flow of oil, water and gas inside the transportation pipelines. The objective of this review paper is to present the current trends and technologies within multi-phase flow measurements and to introduce the most promising methods based on parameters such as accuracy, footprint, safety, maintenance and calibration. Typical meters, such as tomography, gamma densitometry and virtual flow meters are described and compared based on their performance with respect to multi-phase flow measurements. Both experimental prototypes and commercial solutions are presented and evaluated. For a non-intrusive, non-invasive and inexpensive meter solution, this review paper predicts a progress for virtual flow meters in the near future. The application of multi-phase flows meters are expected to further expand in the future as fields are maturing, thus, efficient utilization of existing fields are in focus, to decide if a field is still financially profitable.

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“…This method improves the accuracy of single-phase measurement, but separating multiphase flow is too complicated [2], the equipment is expensive, and the efficiency is low. Therefore, it is necessary to find an accurate and efficient online measuring technology for multiphase flow [3].…”

Section: Introductionmentioning

confidence: 99%

Measurement of Gas-Oil Two-Phase Flow Patterns by Using CNN Algorithm Based on Dual ECT Sensors with Venturi Tube

Yang

et al. 2020

Sensors

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In modern society, the oil industry has become the foundation of the world economy, and how to efficiently extract oil is a pressing problem. Among them, the accurate measurement of oil-gas two-phase parameters is one of the bottlenecks in oil extraction technology. It is found that through the experiment the flow patterns of the oil-gas two-phase flow will change after passing through the venturi tube with the same flow rates. Under the different oil-gas flow rate, the change will be diverse. Being motivated by the above experiments, we use the dual ECT sensors to collect the capacitance values before and after the venturi tube, respectively. Additionally, we use the linear projection algorithm (LBP) algorithm to reconstruct the image of flow patterns. This paper discusses the relationship between the change of flow patterns and the flow rates. Furthermore, a convolutional neural network (CNN) algorithm is proposed to predict the oil flow rate, gas flow rate, and GVF (gas void fraction, especially referring to sectional gas fraction) of the two-phase flow. We use ElasticNet regression as the loss function to effectively avoid possible overfitting problems. In actual experiments, we compare the Typical-ECT-imaging-based-GVF algorithm and SVM (Support Vector Machine) algorithm with CNN algorithm based on three different ECT datasets. Three different sets of ECT data are used to predict the gas flow rate, oil flow rate, and GVF, and they are respectively using the venturi front-based ECT data only, while using the venturi behind-based ECT data and using both these data.

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Identification of horizontal slug flow structures for application in selective cross-correlation metering

Cited by 22 publications

References 31 publications

Multimodal Two-Phase Flow Measurement Using Dual Plane ECT and GRT

Multimodal Two-Phase Flow Measurement Using Dual Plane ECT and GRT

Multi-Phase Flow Metering in Offshore Oil and Gas Transportation Pipelines: Trends and Perspectives

Measurement of Gas-Oil Two-Phase Flow Patterns by Using CNN Algorithm Based on Dual ECT Sensors with Venturi Tube

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