Advanced Deepwater Monitoring System

Brower, D.; Hedengren, John D.; Shishivan, Reza Asgharzadeh; Brower, Alexis

doi:10.1115/omae2013-10920

Cited by 11 publications

(8 citation statements)

References 9 publications

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“…Specific examples are included in the appendices with commands to reproduce the examples in this paper. Some other examples include applications of computational biology (Abbott et al, 2012), unmanned aerial systems (Sun et al, 2014), chemical process control (Soderstrom et al, 2010), solid oxide fuel cells (Jacobsen et al, 2013;Spivey et al, 2012), industrial process fouling (Spivey et al, 2010), boiler load following (Jensen and Hedengren, 2012), energy storage (Powell et al, 2957;Edgar, 2011, 2012), subsea monitoring systems (Hedengren and Brower, 2012;Brower et al, 2012Brower et al, , 2013, and friction stir welding of spent nuclear fuel (Nielsen, 2012).…”

Section: Introductionmentioning

confidence: 99%

Nonlinear modeling, estimation and predictive control in APMonitor

Hedengren

Shishavan

Powell

et al. 2014

Computers & Chemical Engineering

Self Cite

184

117

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This paper describes nonlinear methods in model building, dynamic data reconciliation, and dynamic optimization that are inspired by researchers and motivated by industrial applications. A new formulation of the 1-norm objective with a dead-band for estimation and control is presented. The dead-band in the objective is desirable for noise rejection, minimizing unnecessary parameter adjustments and movement of manipulated variables. As a motivating example, a small and well-known nonlinear multivariable level control problem is detailed that has a number of common characteristics to larger controllers seen in practice. The methods are also demonstrated on larger problems to reveal algorithmic scaling with sparse methods. The implementation details reveal capabilities of employing nonlinear methods in dynamic applications with example code in both Matlab and Python programming languages.

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Section: Introductionmentioning

confidence: 99%

Nonlinear modeling, estimation and predictive control in APMonitor

Hedengren

Shishavan

Powell

et al. 2014

Computers & Chemical Engineering

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184

117

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“…This sensing system monitored the pressure, temperature, and strain in a pipe-in-pipe 22.5 km (14 mi) subsea tieback without pipewall penetration. Since the initial deployment, other deployments have monitored steel catenary risers, drilling risers, tension leg platforms (TLPs), umbilical installations, touchdown zones, slugging mitigation, and subsea tiebacks ( [2][3][4][5][6][7][8]). Originally implemented in high temperature rocket motor applications, recent studies also extend this sensing technology to distributed monitoring of cryogenic liquified natural gas transfer pipelines [9].…”

Section: Flowline Overviewmentioning

confidence: 99%

New Flow Assurance System With High Speed Subsea Fiber Optic Monitoring of Pressure and Temperature

Hedengren

Brower²,

Wilson³

et al. 2018

Volume 5: Pipelines, Risers, and Subsea Systems

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Subsea production control systems are instrumented to constantly monitor flowline pressure and temperature at key locations to prevent plugging and introduce mitigating control strategies. New fiber optic sensors with ruggedized construction and non-electrical components are subjected to accelerated aging tests and deployed in several installations with long service life. An overview of current progress with fiber optic technology is provided for fatigue monitoring, temperature, pressure, and strain sensing. Recent developments include improved service life, novel bonding methods, pipeline sensor station improvements, sensor calibration, and long-term fatigue analysis. The latest advancements are validated on multiple installations on a subsea tieback in the deepwater Mississippi Canyon of the Gulf of Mexico at 6,500 ft depth. A prior third-party sensor design experienced multiple non-recoverable sensor failures. A new sensor station design is employed on two Flowline Terminations to monitor pressure and temperature at a rate of 100 Hz. Subsea tiebacks are susceptible to flow assurance issues caused by plugging events such as hydrate formation. The system was originally designed to track pig location but transitioned to pressure and temperature sensing. An issue with the transition was the lack of calibration relating the fiber Bragg grating (FBG) strain levels to the actual process conditions. A novel method is presented for in situ adjustment of the sensor array calibration. During the calibration procedure, the sensors produced unanticipated results during pipeline flow shut-in and later startup operations. The sensors helped uncover a configuration of the flowline and sensor locations that is valuable for detecting hydrate forming conditions at a key junction location. The sensors are located before and after the junction of two flowlines in the mixing zone of the pipeline streams. The novel contributions of this study are the high speed data collection, in situ fiber optic calibration, review of advancements in fiber optic sensing technology, and a field case study with multiple sensing arrays. The developments are part of the Clear Gulf study, a collaboration between the offshore energy industry and NASA that was formed in 2010. The objective of the Clear Gulf study is to employ space technology and testing facilities for use in the up-stream industry to advance subsea sensor technology. The highly sensitive monitoring systems developed as part of this study are used to give early warnings for flow assurance issues, structural failures, or catastrophic events.

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“…The activities performed in phase I are discussed in a technical paper [3] authored by ATI. The proof-of-concept testing consisted of two phases.…”

Section: Proof-of-concept Testingmentioning

confidence: 99%

Development of a Post-Installed Deepwater Monitoring System

Seaman

Brower²,

Tang

et al. 2015

All Days

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A monitoring system that can be deployed on already existing deepwater risers and flowlines has been developed. This paper describes the design concepts and testing that was performed in developing the monitoring system. A major challenge of a post-installed instrumentation system is to ensure adequate coupling is achieved between the instruments and the riser or flowline. This work investigates the sensor coupling for pipelines that are suspended in both the water column (from topside platform to the seabed) and for those that are located directly on the seabed. These different environments necessitate two sensor attachment methods: (1) sensor clamp design with subsea adhesive and (2) sensor clamp design with friction surface coating. This paper addresses the adhesive attachment method. The monitoring elements consist of fiber optic sensors that are encased in a polyurethane clamp. With a subsea adhesive, the clamp can be installed by divers in shallow depths or by use of an ROV for deeper applications. The NASA Johnson Space Center was initially involved in the selection and testing of subsea adhesives. It was determined that up to 75 percent of the bonding strength could be achieved with the adhesive from optimal dry bonding versus bonding in submerged sea water environments. The next phase of the study involved the design, fabrication, and testing of several prototype clamps that incorporated the fiber optic sensors. Several molds were produced by NASA using 3-D printing that allowed the fabrication of subscale test articles that would accommodate 4-inch and 8-inch diameter pipes. The clamps were installed with adhesive in a "wet" environment on the pipe test articles and evaluated in the NASA Structures Test Laboratory. The tension/compression and bending tests showed that the prototype sensor clamps achieved good coupling, and could provide high quality strain measurement for active monitoring.

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Advanced Deepwater Monitoring System

Cited by 11 publications

References 9 publications

Nonlinear modeling, estimation and predictive control in APMonitor

Nonlinear modeling, estimation and predictive control in APMonitor

New Flow Assurance System With High Speed Subsea Fiber Optic Monitoring of Pressure and Temperature

Development of a Post-Installed Deepwater Monitoring System

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