Model-based control of slugging: advances and challenges

Meglio, Florent Di; Kaasa, Glenn-Ole; Petit, Nicolas; Alstad, Vidar

doi:10.3182/20120531-2-no-4020.00029

Cited by 15 publications

(12 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While the second solution needs to investigate how this varying flow is caused and correspondingly how to mitigate/migrate it in the upstream of the separator facility. This leads to the study of slugging flow in the production well-pipeline-riser system [7], [12], [14], [19], [27], [29], [43].…”

Section: Slugging Flow Controlmentioning

confidence: 99%

Cleaning the produced water in offshore oil production by using plant-wide optimal control strategy

Yang

Pedersen

Durdevic

2014

2014 Oceans - St. John's

View full text Add to dashboard Cite

To clean the produced water is always a challenging critical issue in the offshore oil & gas industry. By employing the plant-wide control technology, this paper discussed the opportunity to optimize the most popular hydrocyclone-based Produced Water Treatment (PWT) system. The optimizations of the efficiency control of the de-oiling hydrocyclone and the water level control of the upstream separator, are discussed and formulated. Some of our latest research results on the analysis and control of slugging flows in production well-pipeline-riser systems are also presented. The ultimate objective of this research is to promote a technical breakthrough in the PWT control design, which can lead to the best environmental protection in the oil & gas production, without sacrificing the production capability and production costs.

show abstract

Section: Slugging Flow Controlmentioning

confidence: 99%

Cleaning the produced water in offshore oil production by using plant-wide optimal control strategy

Yang

Pedersen

Durdevic

2014

2014 Oceans - St. John's

View full text Add to dashboard Cite

show abstract

“…Earlier studies of a small-scale setup has been developed by Baardsen (2003). Some modelbased control strategies of slugging is mentioned in Meglio et al (2012). Furthermore Ogazi et al (2010) and Isaac et al (2011) has proven that control of the flow and slugging can increase production.…”

Section: Introductionmentioning

confidence: 99%

Recreating Riser Slugging Flow Based on an Economic Lab-sized Setup

Hansen

Pedersen

Yang

et al. 2013

IFAC Proceedings Volumes

View full text Add to dashboard Cite

As a kind of periodic phenomenon, the slugging flow in the offshore oil & gas production addresses a lot of attentions, due to its limitation of production rate, periodic overload processing facilities, and even direct cause of emergent shutdown. This work studies the emulation of the riser slugging flow in the offshore oil & gas production, by constructing an economical lab-sized setup in the university campus. Firstly, the construction and used components for the lab setup are illustrated; then, the constructed setup is validated by checking the consistency with some existing typical riser slug model, besides extensive experimental tests. The theoretical analysis and experimental results show that this simple setup can recreate the key features of slugging flow phenomenon with reasonable preciseness, and it serves as a good platform for further slug control study.

show abstract

“…Some of them use knowledge of the oil well physics [1] to design a nonlinear observer for the states of the multiphase flow in order to estimate the downhole pressure, while others are based on black-box system identification approaches [33,31]. While the first approach can take advantage of the a priori knowledge for a refined analysis and more advanced control schemes [12], the latter approach is quicker, does not require extensive modeling, being well suited to identify unknown models. The current work follows the latter approach and assumes hardly any a priori model knowledge.…”

Section: Introductionmentioning

confidence: 99%

“…The artificially injected gas diminishes the density of the well fluid, which, in turn, makes possible its extraction with the created difference in pressure. Stabilization techniques which tackle these oscillatory behaviors in multiphase flows are necessary and have been designed by experts in academia and industry [25,19,29,32,14,12]. These methods are usually based on the stabilization of the downhole pressure through choke actuators on the gas-lift flow rate and the well production.…”

Section: Introductionmentioning

confidence: 99%

Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells

Antonelo¹,

Camponogara²,

Foss

2017

Neural Networks

View full text Add to dashboard Cite

Process measurements are of vital importance for monitoring and control of industrial plants. When we consider offshore oil production platforms, wells that require gas-lift technology to yield oil production from low pressure oil reservoirs can become unstable under some conditions. This undesirable phenomenon is usually called slugging flow, and can be identified by an oscillatory behavior of the downhole pressure measurement. Given the importance of this measurement and the unreliability of the related sensor, this work aims at designing data-driven soft-sensors for downhole pressure estimation in two contexts: one for speeding up first-principle model simulation of a vertical riser model; and another for estimating the downhole pressure using real-world data from an oil well from Petrobras based only on topside platform measurements. Both tasks are tackled by employing Echo State Networks (ESN) as an efficient technique for training Recurrent Neural Networks. We show that a single ESN is capable of robustly modeling both the slugging flow behavior and a steady state based only on a square wave input signal representing the production choke opening in the vertical riser. Besides, we compare the performance of a standard network to the performance of a multiple timescale hierarchical architecture in the second task and show that the latter architecture performs better in modeling both large irregular transients and more commonly occurring small oscillations.

show abstract

Model-based control of slugging: advances and challenges

Abstract: We review recent advances in the suppression of the slugging phenomenon by model-based control. We focus on three aspects of recent contributions: models, observers and control laws. For each category, we evaluate and compare existing solutions, and propose directions for improvement.

Cited by 15 publications

References 27 publications

Cleaning the produced water in offshore oil production by using plant-wide optimal control strategy

Cleaning the produced water in offshore oil production by using plant-wide optimal control strategy

Recreating Riser Slugging Flow Based on an Economic Lab-sized Setup

Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells

Contact Info

Product

Resources

About