Smart sensors for controlling oil-water separation processes

Artur J. Jaworski; Tomasz Dyakowski; Graham A. Davies

Smart sensors for controlling oil-water separation processes

Artur J. Jaworski, Tomasz Dyakowski, Graham A. Davies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we present a novel approach to designing sensors and instrumentation for monitoring and controlling multiphase processes. Our concept is based on using distributed sensor arrays, embedded within the vital plant components and thus forming smart structures. Distributed information obtained from such devices, coupled with appropriate data processing, could improve our understanding of the nature of multiphase processes and hence improve plant operation. We discuss the requirements for such sensors and, in the experimental part of this paper, present a short case study, conducted at UMIST Pilot Plant facility, to highlight the benefits of using smart sensing techniques in a process environment. We hope that this paper will open a general discussion on sensing multiphase flows.

Original language	English
Title of host publication	Proceedings of the 2001 Engineering Technology Conference on Energy, ETCE2001. Part B
Subtitle of host publication	Offshore and Artic Operations, Pipeline Technology, Production Technology, Tribology
Pages	835-843
Number of pages	9
Volume	B
Publication status	Published - 1 Dec 2001
Externally published	Yes
Event	Engineering Technology Conference on Energy - Houston, United States Duration: 5 Feb 2001 → 7 Feb 2001

Conference

Conference	Engineering Technology Conference on Energy
Country/Territory	United States
City	Houston
Period	5/02/01 → 7/02/01

Cite this

@inproceedings{efba11392d8e40498d39216e9beb0446,

title = "Smart sensors for controlling oil-water separation processes",

abstract = "In this paper we present a novel approach to designing sensors and instrumentation for monitoring and controlling multiphase processes. Our concept is based on using distributed sensor arrays, embedded within the vital plant components and thus forming smart structures. Distributed information obtained from such devices, coupled with appropriate data processing, could improve our understanding of the nature of multiphase processes and hence improve plant operation. We discuss the requirements for such sensors and, in the experimental part of this paper, present a short case study, conducted at UMIST Pilot Plant facility, to highlight the benefits of using smart sensing techniques in a process environment. We hope that this paper will open a general discussion on sensing multiphase flows.",

author = "Jaworski, {Artur J.} and Tomasz Dyakowski and Davies, {Graham A.}",

year = "2001",

month = dec,

day = "1",

language = "English",

isbn = "0791835219",

volume = "B",

pages = "835--843",

booktitle = "Proceedings of the 2001 Engineering Technology Conference on Energy, ETCE2001. Part B",

note = "Engineering Technology Conference on Energy ; Conference date: 05-02-2001 Through 07-02-2001",

}

Jaworski, AJ, Dyakowski, T & Davies, GA 2001, Smart sensors for controlling oil-water separation processes. in Proceedings of the 2001 Engineering Technology Conference on Energy, ETCE2001. Part B: Offshore and Artic Operations, Pipeline Technology, Production Technology, Tribology. vol. B, pp. 835-843, Engineering Technology Conference on Energy, Houston, Texas, United States, 5/02/01.

Smart sensors for controlling oil-water separation processes. / Jaworski, Artur J.; Dyakowski, Tomasz; Davies, Graham A.

Proceedings of the 2001 Engineering Technology Conference on Energy, ETCE2001. Part B: Offshore and Artic Operations, Pipeline Technology, Production Technology, Tribology. Vol. B 2001. p. 835-843.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smart sensors for controlling oil-water separation processes

AU - Jaworski, Artur J.

AU - Dyakowski, Tomasz

AU - Davies, Graham A.

PY - 2001/12/1

Y1 - 2001/12/1

N2 - In this paper we present a novel approach to designing sensors and instrumentation for monitoring and controlling multiphase processes. Our concept is based on using distributed sensor arrays, embedded within the vital plant components and thus forming smart structures. Distributed information obtained from such devices, coupled with appropriate data processing, could improve our understanding of the nature of multiphase processes and hence improve plant operation. We discuss the requirements for such sensors and, in the experimental part of this paper, present a short case study, conducted at UMIST Pilot Plant facility, to highlight the benefits of using smart sensing techniques in a process environment. We hope that this paper will open a general discussion on sensing multiphase flows.

AB - In this paper we present a novel approach to designing sensors and instrumentation for monitoring and controlling multiphase processes. Our concept is based on using distributed sensor arrays, embedded within the vital plant components and thus forming smart structures. Distributed information obtained from such devices, coupled with appropriate data processing, could improve our understanding of the nature of multiphase processes and hence improve plant operation. We discuss the requirements for such sensors and, in the experimental part of this paper, present a short case study, conducted at UMIST Pilot Plant facility, to highlight the benefits of using smart sensing techniques in a process environment. We hope that this paper will open a general discussion on sensing multiphase flows.

UR - http://www.scopus.com/inward/record.url?scp=0346884174&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0346884174

SN - 0791835219

VL - B

SP - 835

EP - 843

BT - Proceedings of the 2001 Engineering Technology Conference on Energy, ETCE2001. Part B

T2 - Engineering Technology Conference on Energy

Y2 - 5 February 2001 through 7 February 2001

ER -

Smart sensors for controlling oil-water separation processes

Abstract

Conference

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