A Practice of Applying Downhole Real Time Gauge Data and Control-Valve Settings To Estimate Split Flow Rate for an Intelligent Injection Well System

2008 ◽  
Author(s):  
Kai Sun ◽  
Craig Coull ◽  
Jesse James Constantine
Keyword(s):  
Real Time ◽  
Flow Rate ◽  
Control Valve ◽  
Injection Well ◽  
Split Flow ◽  
Gauge Data ◽  
And Control

scholarly journals Real-time monitoring and control of flow rate in transportation pipelines using Matlab-based interactive GUI and PID controller

2020 ◽  
Vol 11 (4) ◽  
pp. 1767
Author(s):  
S. Vijayalakshmi ◽  
C. Anuradha ◽  
R. C. Ilambirai ◽  
Viswanathan Ganesh
Keyword(s):  
Real Time ◽  
Graphical User Interface ◽  
Flow Rate ◽  
Pid Controller ◽  
Control Valve ◽  
Monitoring And Control ◽  
Control Room ◽  
Industrial Control ◽  
Pressure Drops ◽  
And Control

<p class="Normal1">In this paper, a Matlab based GUI and Propotinal Integral Dervative (PID) controller is designed to automatically regulate the flow-rate of the circulating fluid. When fluids are transported over long distances, the pressure and flow rate have to be monitored remotely in a control room. Using an HMI or Control Panels the flow rate can be increased or decreased to compensate for pressure drops or disturbances. This paper attempts to demonstrate such an Industrial Control Operation in a scaled-down environment. A Graphical User Interface or GUI is constructed which enables the Operator to monitor, as well as control an electronically actuated Control Valve which can efficiently regulate the flow-rate. Automatic operations have also been implemented using a PID controller algorithm, which tries to track the Set-point in Real-time.</p>

scholarly journals Comparison of Flow-Dependent Controllers for Remote Real-Time Pressure Control in a Water Distribution System with Stochastic Consumption

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 422 ◽  
Author(s):  
Philip Page ◽  
Enrico Creaco
Keyword(s):  
Real Time ◽  
Flow Rate ◽  
Stochastic Demand ◽  
Control Valve ◽  
Pressure Control ◽  
Variable Pressure ◽  
Consumption Pattern ◽  
Numerical Comparison ◽  
Critical Node ◽  
Pressure Control Valve

The control of pressure at a remote critical node using a pressure control valve is a highly effective way to attain pressure management. To perform real-time control, various kinds of controllers can be used, including flow-dependent controllers. These controllers calculate valve setting adjustment based both on the deviation of the pressure from the set-point and on the flow rate at the valve site. After putting all the flow-dependent controllers present in the scientific literature within the same framework, this paper presents a numerical comparison of their performance under realistic conditions of stochastic demand. Two controllers were selected for the comparison, namely the simple LCF (parameter-less proportional controller with known constant pressure control valve flow); and LVF (parameter-less controller with known variable pressure control valve flow), which uses a flow rate forecast. Indeed, this study considered an upgrade of LVF, in which the flow rate forecast was tailored to the conditions of stochastic demand. The application in a specific example network proved the performance of these controllers to be quite similar, although LCF was preferable due to its simple structure. For LCF, the average pressure at the critical node had a clear relationship to the consumption pattern. LVF outperformed when the hourly variation dominates the fluctuations in the flow. The conditions under which this out-performance occurred are comprehensively discussed.

Control design, simulation and validation of a turbo-machinery auxiliary plant

2016 ◽  
Vol 231 (4) ◽  
pp. 849-863 ◽  
Author(s):  
Roberto Conti ◽  
Pierluca D’Adamio ◽  
Emanuele Galardi ◽  
Enrico Meli ◽  
Daniele Nocciolini ◽  
...  
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
Oil And Gas ◽  
Control Valve ◽  
Oil And Gas Industry ◽  
Lumped Parameter Model ◽  
Normal Operation ◽  
Physical Plant ◽  
Turbo Machinery ◽  
And Control

In the oil and gas industry, the testing of auxiliary lubrication plants represents an important preliminary activity before the whole turbo machinery train (including the auxiliary lubrication plant) can be put in operation. Therefore, the employment of both efficient and accurate plant models becomes mandatory to synthesize satisfactory control strategies both for testing and normal operation purposes. For this reason, this paper focuses on the development of innovative real-time models and control architectures to describe and regulate auxiliary lubrication plants. In particular, according to the Bond-Graph modelling strategy, a novel lumped parameter model of the lube oil unit has been developed to properly optimize the behaviour of this unit if it is controlled. The code has been compiled and uploaded on a commercial real-time platform, employed to control the pressure control valve of the physical plant, for which a new controller has been developed. The comparison between the data obtained from the simulated system and acquired from the physical plant shows good agreement and the good performance and reliability of the proposed model and control strategy. The modelling approach and the control strategy have been developed in collaboration with GE Nuovo Pignone S.p.a. while the experimental data were acquired in a plant located in Ptuj (Slovenia).

scholarly journals Design of monitor system and tube fluid’s rate controller based on pressure sensor mpx5100dp and control valve

2021 ◽  
Vol 2 (1) ◽  
pp. 19-23
Author(s):  
Reza Ardiansyah Maheda ◽  
Samsul Hidayat ◽  
Nugroho Adi Pramono
Keyword(s):  
Control System ◽  
Flow Rate ◽  
Pressure Sensor ◽  
Control Process ◽  
Control Valve ◽  
Monitor System ◽  
Servo Motor ◽  
Industrial Operations ◽  
Operations Control ◽  
And Control

Control system is a major component in the industrial operations control process. In some industries that make use of chemicals, an error variables or parameters settings can cause some damage. For the environment or the industry itself. So, utilization and development in this field is an awful lot to do. This control system is designed to measure and control the flow rate of the fluid in the pipes. This tool is composed by using a pressure sensor MPX5100dp as the primary sensor and also the servo motor that became the controlling actuator faucets. The results showed that this system can control the fluid's flow rate according to what expected. For monitoring, the system can can determine the rate changes that occur in the pipe. This tool can measure the pressure of 100kPa and rotate the actuator up to faucets with a range of more or less 5 degree.

Microstructural investigation of surface roughness in MBE-grown AlAs

1995 ◽  
Vol 53 ◽  
pp. 454-455
Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas
Keyword(s):  
Thin Film ◽  
Real Time ◽  
Growth Control ◽  
Native Oxide ◽  
Effusion Cell ◽  
Surface Oxide Layer ◽  
Microstructural Investigation ◽  
Mbe Growth ◽  
Film Substrate ◽  
And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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