Online estimation of reject gas and liquid flow rates in compact flotation units for produced water treatment

In this work, we develop a model for a gravity separator, and use it together with models from literature to study the control of a subsea separation system that separates oil, gas and water from well fluids in hydrocarbon production. Our separation system contains a gravity separator, hydrocyclones and compact flotation units. The main contributions of the paper are twofold. First, we present a coalescence based dynamic gravity separator model, which is able to predict oil concentration in water outlet and water concentration in oil outlet. Second, we study optimal operation of the overall separation system with an objective of maximizing water removal. We propose a simple control structure that operates the process close to optimally, by rejecting disturbances from upstream flows and maintaining a tight control of the quality of the purified water leaving the system.

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“…Please refer to Arvoh et al, 34 Arvoh et al 35 ). The CFU is maintained at a pressure of P CF U with a volumetric liquid hold-up of α l .…”

Section: Overflowmentioning

confidence: 99%

Optimal Operation of a Subsea Separation System Including a Coalescence Based Gravity Separator Model and a Produced Water Treatment Section

Das

Heggheim

Dudek

et al. 2019

Ind. Eng. Chem. Res.

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“…Acoustic chemometrics (Halstensen, 2006(Halstensen, , 2010Esbensen, 1999;Arvoh, 2012) is a relatively new general process analytic approach for on-line monitoring of industrial processes. Acoustic chemometrics concerns capturing characteristic system vibrations generated by e.g.…”

Section: Introductionmentioning

confidence: 99%

Classification of Gases and Estimation of Gas Flow Rate Based on Unsupervised and Supervised Learning Respectively

Halstensen¹,

Halstensen²

2021

Linköping Electronic Conference Proceedings

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In this research project, acoustic chemometrics was assessed as a new method for both classification and prediction of flow rate of five selected gas types. The gas types were selected to span different densities as much as possible while at the same time being relatively safe to use. The five gas types were Argon, Helium, Carbon dioxide, Nitrogen and Air. The research questions were 1) Can measurements of the vibrations in a gas control valve in combination with signal processing and unsupervised learning be used to classify the five gases mentioned above? 2) Can the vibrations in the gas valve in combination with supervised learning be used to determine the flow rate of the five gases? 3) Can a simple low cost piezo disk provide signals comparable to that of an industrial accelerometer? The results show that it is possible to classify the five gas types based on principal component analysis with three components. The gas flow rate could also be predicted for all five gases based on partial least squares regression with an average error of 2-5%. The Piezo disk could not be used for gas classification, but for prediction of gas flow rates it was comparable to the accelerometer. All the prediction models were validated based on independent data.

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“…Acoustic chemometrics (Halstensen et al, 1998;2000;2001;2006;2010;Esbensen et al, 1998;1999;Bakeev et al, 2010;Ihunegbo et al, 2012;Arvoh et al, 2012;Wagner et al, 2013) has proven to be a powerful tool for monitoring nozzles in various applications, such as characterization of liquid flow through an orifice plate nozzle. Also monitoring viscosity of anti-icing fluid used on aircrafts in below zero conditions has shown promising results (Halstensen et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Real-time monitoring of wood cladding spray painting properties and nozzle condition using acoustic chemometrics

Halstensen¹,

Agu²,

Hundhausen³

et al. 2021

Linköping Electronic Conference Proceedings

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An experimental setup simulating real-time wood cladding coating monitoring of nozzle conditions and spray paint properties has been investigated. This approach is based on affixed nozzle accelerometer sensors with appropriate signal conditioning and chemometric data analysis (PCA). The aim was to develop effective visualization of different process states using PCA score plots. The present feasibility study shows that this approach can be used as a basis for further development towards a Process Analytical Technology (PAT) spray monitoring system able to work in the harsh environment of an industrial wood cladding paint box. However, there is still a significant amount of on-site industrial calibration and R&D necessary before a final method validation can be executed. The present results rely on permanently affixed PAT sensors. Further studies will a.o. focus on the degree to which replacement of acoustic accelerometer sensors necessitates recalibration of the multivariate data models employed, which is a critical success factor in industrial implementations.

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Online estimation of reject gas and liquid flow rates in compact flotation units for produced water treatment

Cited by 11 publications

References 18 publications

Optimal Operation of a Subsea Separation System Including a Coalescence Based Gravity Separator Model and a Produced Water Treatment Section

Optimal Operation of a Subsea Separation System Including a Coalescence Based Gravity Separator Model and a Produced Water Treatment Section

Classification of Gases and Estimation of Gas Flow Rate Based on Unsupervised and Supervised Learning Respectively

Real-time monitoring of wood cladding spray painting properties and nozzle condition using acoustic chemometrics

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