Research on Signal Transmission Mode of Underground Based on Power Carrier

2012 ◽  
Vol 190-191 ◽  
pp. 1049-1052
Author(s):  
Shan Bai ◽  
Peng Du ◽  
Sheng Lei Shi

During the process of oil collection, treating power cable for the supply of electrical submersible pump unit as the medium of the underground signal transmission to the ground, it has broad application prospects and economic value. But there is large distance between down-hole devices and ground equipment, and electrical submersible pump unit condition monitoring system measures many parameters, and there is a converter of harmonic interference, therefore, it restricted the application of the underground power line carrier communication technology severely. Designing an overall plan for signal extraction and transmission system in the paper. Based on the low-frequency power line carrier technology developing a practical communication protocol, to ensure the reliability of communication.

2021 ◽  
Author(s):  
Sherif Sanusi ◽  
Adenike Omisore ◽  
Eyituoyo Blankson ◽  
Chinedu Anyanwu ◽  
Obehi Eremiokhale

Abstract With the growing importance and application of Machine Learning in various complex operations in the Oil and Gas Industry, this study focuses on the implementation of data analytics for estimating and/or validating bottom-hole pressure (BHP) of Electrical Submersible Pump (ESP) wells. Depending on the placement of the ESP in the wellbore and fluid gravity of the well fluid, there can be little or no difference between BHP and Pump intake Pressure (PIP); hence these two parameters were used interchangeably. The study focuses majorly on validating PIP when there are concerns with downhole gauge readings. It also has application in estimating PIP when the gauge readings are not available, provided the relevant ESP parameters are obtainable. ESP wells generally have gauges that operate on "Comms-on-Power" principle i.e. downhole communication is via the power cable and loss of signal occurs when there is no good electrical integrity along the electrical path of the ESP system. For proper hydrocarbon accounting and statutory requirements, it is important to have downhole pressure readings on a continuous basis, however this cannot be guaranteed throughout the life cycle of the well. Therefore, an alternative method is essential and had to be sought. In this study, the Response Surface Modelling (RSM) was first used to generate a model relating the ESP parameters acquired real-time to the PIP values. The model was fine-tuned with a Supervised Machine Learning algorithm: Artificial Neural Network (ANN). The performance of the algorithms was then validated using the R-Square and Mean Square Error values. The result proves that Machine Learning can be used to estimate PIP in a well without recourse to incurring additional cost of deploying new downhole gauges for acquisition of well and reservoir data.


1987 ◽  
Vol 2 (1) ◽  
pp. 50-56 ◽  
Author(s):  
P. Burrascano ◽  
S. Cristina ◽  
M. D'Amore ◽  
M. Salerno

2013 ◽  
Vol 385-386 ◽  
pp. 1164-1170
Author(s):  
Hong Jiang Li ◽  
Hao Lan Zhang

It is necessary to build a particular communication channel model to investigate shipboard electric network power line carrier technology. And this model must live up to characteristics of ordinary power line as well as shipboard electric network. This paper confirms the lighting network as the PLC application network in the first place, on the basis of lumped parameter transmission model, analyzes shipboard cable AC resistance, describes pulse noises of shipboard loads, and builds the shipboard PLC channel model. Comparing with the PLC multipath model of large land electric network, this channel model also reflects characteristics of high frequency time-varying selective fading and low frequency smooth fading, at the same time, lives up to shipboard electric network characteristics.


Author(s):  
Adedayo Oluyomi Ajibade ◽  
llesanmi Banjo Oluwafemi ◽  
Israel Esan Owolabi

The transmission of data signals over power lines is a very promising technique for delivering indoor broadband communication services. However, since power grids were originally designed for high-voltage low-frequency signal transmission, there is a frequency mismatch between the power grid and high-frequency data signals. This mismatch poses a challenge to deploying power lines as a communication channel. Although, studies and researches conducted in several countries have made transmission of data over power lines possible, the behaviour and properties of the power grid cannot be generalised. Hence, the need for in-depth experiment and measurement on the suitability and capability of the Nigerian power grid for data transmission is crucial for proper characterising and modelling of the power line communication (PLC) channel. In this paper, we present experimental measurements and results of the effects of frequency variations on the attenuation experienced by broadband high-speed data signals transmitted over the Nigerian indoor power line network.


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