Embedded Multi-Parameter Monitoring System for Submersible Electric Pump

2012 ◽  
Vol 503-504 ◽  
pp. 1642-1646
Author(s):  
Fei Liu ◽  
Qiang Li
Keyword(s):  
Pressure Sensor ◽  
Temperature Compensation ◽  
Oil Field ◽  
Oil Well ◽  
Electric Pump ◽  
Power Line Carrier ◽  
Submersible Electric Pump ◽  
Sensor Temperature ◽  
Striking Effect ◽  
Parameter Monitoring

The multi-parameter measurement of submersible electric pump is an important part of monitoring data underground. The system measures the temperature, pressure, leakage current and vibration signals, which return through the power line carrier technology and data processing on the oil well. This article also focuses on the pressure sensor temperature compensation algorithm, using an anti-linear curve fitting to approximating, and effectively eliminates the error of silicon pressure sensor resulting from temperature changing. The system has brought about a striking effect in experiments of oil field.

A Method for Vibration-Cylinder Air-Pressure Sensor Temperature Compensation Based on Radial Basis Function (RBF) Neural Network

2012 ◽  
Vol 236-237 ◽  
pp. 1232-1237
Author(s):  
Yan Ren ◽  
Duan Xu ◽  
Fang Ling Qin
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Pressure Sensor ◽  
Basis Function ◽  
Temperature Compensation ◽  
Rbf Neural Network ◽  
Air Pressure ◽  
Environment Temperature ◽  
Radial Basis ◽  
Sensor Temperature

There is a nonlinear measurement error of the vibration-cylinder air-pressure sensor when the environment temperature changes; To solve the problem, the paper carried out a research on vibration-cylinder air-pressure sensor temperature compensation based on radial basis function(RBF) neural network; The temperature error characteristics of the sensor was studied; The sensor temperature compensation of RBF neural network structures and algorithms was designed; The centers, variances, weights, and the hidden layer neuron number of the radial basis function were determined. The experiments showed that the trained RBF neural network can approximate the input-output relationship of the vibration-cylinder air-pressure sensor in high accuracy.

scholarly journals A Smart High Accuracy Silicon Piezoresistive Pressure Sensor Temperature Compensation System

Sensors ◽  
2014 ◽  
Vol 14 (7) ◽  
pp. 12174-12190 ◽  
Author(s):  
Guanwu Zhou ◽  
Yulong Zhao ◽  
Fangfang Guo ◽  
Wenju Xu
Keyword(s):  
Pressure Sensor ◽  
Temperature Compensation ◽  
High Accuracy ◽  
Compensation System ◽  
Piezoresistive Pressure Sensor ◽  
Sensor Temperature

scholarly journals Pengembangan Purwarupa Node Multi Sensor Pemantau Parameter Cuaca Berbasis Mikrokontroler

Jurnal MIPA ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 21
Author(s):  
Handy Indra Regain Mosey
Keyword(s):  
Pressure Sensor ◽  
Temperature Sensor ◽  
Sensor Node ◽  
Weather Condition ◽  
Weather Data ◽  
Online Application ◽  
Data Comparison ◽  
Margin Of Error ◽  
Sensor Temperature ◽  
Parameter Monitoring

Telah dilakukan penelitian untuk membuat purwarupa node multi sensor yang dapat digunakan sebagai pemantau parameter cuaca. Informasi kondisi cuaca secara local sekarang ini dirasakan cukup penting untuk diketahui secepatnya untuk mendukung bidang ilmu lain yang berkaitan dengannya. Dalam penelitian ini telah berhasil dibuat node multi sensor dengan menggunakan beberapa sensor sekaligus yaitu sensor tekanan, sensor cahaya, sensor hujan, sensor suhu dan mikrokontroler sebagai pengendali. Data yang didapat dari pembacaan node kemudian dibandingkan dengan data dari aplikasi pemantau cuaca daring. Dari hasil perbandingan data, didapatkan margin error pembacaan node sensor dengan nilai yang sangat baik dengan rentang nilai dari 3,17% - 0,001%.Research had been done to develop a multi sensor which can be uses as weather parameter monitoring. Nowadays, knowing the information of the weather condition locally as quickly as possible are considered very important to support other areas. In this research has been successfully built a multi sensor node in which pressure sensor, light sensor, raindrop sensor, temperature sensor are attached to a microcontroller to control the behavior of the sensors. Data collected by sensor node then compared with the data read by two online application for weather. Data comparison shows good degree of accuracy with margin of error value of 3,17% - 0,001% in interval.

Design of the Oil Well Multi-Parameter Monitoring System

2011 ◽  
Vol 383-390 ◽  
pp. 3652-3656 ◽  
Author(s):  
Mei Wang ◽  
Li Liang ◽  
Kai Chen ◽  
Ning Wang
Keyword(s):  
Monitoring System ◽  
Temperature Compensation ◽  
Information Collection ◽  
Oil Well ◽  
Test Results ◽  
Collection Device ◽  
Fitting Algorithm ◽  
Time Acquisition ◽  
Electric Submersible Pump ◽  
Parameter Monitoring

As the information collection device of the current domestic down-hole gathers less information and with low precision, the down-hole monitoring system with multi-parameter is designed in this paper. The system can be used on electric submersible pump to achieve two-way pressure, two-way temperature, leakage current, and vibration signals in real-time acquisition. Filtering the collected data, and using curve fitting algorithm on the pressure sensor for temperature compensation to ensure the accuracy of the data. Test results show that the system can withstand the harsh down-hole environments encountered in an oil well. Plus, the gathered data has high precision and timeliness. Accordingly, it reaches the expected target.

Research on Pressure Sensor Temperature Compensation by WNN Based on FA

2012 ◽  
Vol 151 ◽  
pp. 213-217 ◽  
Author(s):  
Yan Mei Sun ◽  
Shu Dong Liu ◽  
Feng Juan Miao ◽  
Bai Rui Tao
Keyword(s):  
Neural Network ◽  
Factor Analysis ◽  
Pressure Sensor ◽  
Temperature Compensation ◽  
Wavelet Neural Network ◽  
Learning Ability ◽  
Temperature Drift ◽  
Association Learning ◽  
Related Data ◽  
Sensor Temperature

For the sake of eliminating the temperature influence on the output of sensor, wavelet neural network(WNN) based on factor analysis is proposed, and the validity of the method is tested.It realizes screening and dimensionality reduction for primitive data through factor analysis(FA), decreases data redundancy regardless of related data, we make use of the nonlinear reflection ability and association learning ability of wavelet neural network, and proposes a model of pressure sensor temperature compensation. The result shows that the method is fficient for the problem of temperature drift，the stability of the pressure sensor is improved.

Downhole CO2 partial pressure calculation and tubing material selection – a case study of an offshore oil field in the South China Sea

2016 ◽  
Vol 63 (5) ◽  
pp. 414-420 ◽  
Author(s):  
Wei Yan ◽  
Yong Xiang ◽  
Wenliang Li ◽  
Jingen Deng
Keyword(s):  
Partial Pressure ◽  
Pressure Profile ◽  
Field Application ◽  
Separation Process ◽  
Oil Field ◽  
Oil Well ◽  
Content Type ◽  
Calculating Method ◽  
Oil Gas

Purpose This paper aims to establish the downhole CO2 partial pressure profile calculating method and then to make an economical oil country tubular goods (OCTG) anti-corrosion design. CO2 partial pressure is the most important parameter to the oil and gas corrosion research for these wells which contain sweet gas of CO2. However, till now, there has not been a recognized method for calculating this important value. Especially in oil well, CO2 partial pressure calculation seems more complicated. Based on Dolton partial pressure law and oil gas separation process, CO2 partial pressure profile calculating method in oil well is proposed. A case study was presented according to the new method, and two kinds of corrosion environment were determined. An experimental research was conducted on N80, 3Cr-L80 and 13Cr-L80 material. Based on the test results, 3Cr-L80 was recommended for downhole tubing. Combined with the field application practice, 3Cr-L80 was proved as a safety and economy anti-corrosion tubing material in this oil field. A proper corrosion parameter (mainly refers to CO2 partial pressure and temperature) can ensure a safety and economy downhole tubing anti-corrosion design. Design/methodology/approach Based on Dolton partial pressure law and oil gas separation process, CO2 partial pressure profile calculating method in oil well is proposed. An experimental research was conducted on N80, 3Cr-L80 and 13Cr-L80 material. A field application practice was used. Findings It is necessary to calculate the CO2 partial pressure properly to ensure a safety and economy downhole tubing (or casing) anti-corrosion design. Originality/value The gas and oil separation theory and corrosion theory are combined together to give a useful method in downhole tubing anti-corrosion design method.

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