Design of Hydraulic Experimental System of Oil Drilling and Production

2014 ◽  
Vol 986-987 ◽  
pp. 794-797
Author(s):  
Yong Peng Cai ◽  
Guang Zheng Jia ◽  
Yong Liang Ren ◽  
Shi Peng Chen

Designed a set of hydraulic experimental system for testing some performance parameters of oil drilling and production equipments and demonstrating its functions and principles. This system provided hydraulic environment for pumping unit, ESP (Electric Submersible Pump), well control devices, drilling and workover experiments, collected and analyzed experimental data, provided an important platform for the research and development of oil drilling and production equipments and experiment teaching. The functions and principles of hydraulic system’s components are introduced, and some main components are selected and designed in the system.

2014 ◽  
Vol 8 (1) ◽  
pp. 335-339
Author(s):  
Feng Yicheng

This thesis introduces a kind of horizontal wet electric submersible pump unit with both submersible and nonsubmersible operational models which can be installed permanently. Then, it analyses the structural features, operating principles, main component performance and rotor system. A series of technical advantages show that this kind of submersible pump has a bright application prospect in conventional drainage and disaster-resistant emergency drainage of deep mines.


2014 ◽  
Vol 602-605 ◽  
pp. 2375-2378
Author(s):  
Shi Peng Chen ◽  
Guang Zheng Jia ◽  
Yong Liang Ren ◽  
Yong Peng Cai

A hydraulic experimental monitor system for electric submersible pump (ESP) was designed, which contains data acquisition and monitor interface. Data acquisition applied Advantech Data Acquisition and Siemens Programmable Logic Controller (PLC). Monitor interface applied Monitor and Control Generated System (MCGS). The results prove that the system can control the speed of ESP and display and record many signals, such as flow-rate, pressure, torque, rotation speed, liquid level, etc. The ways of converting analog signals, processing pulse signal and controlling speed are introduced.


2019 ◽  
Vol 16 (32) ◽  
pp. 621-632
Author(s):  
Vladimir V. BUKHTOYAROV ◽  
Vadim S. TYNCHENKO ◽  
Eduard A. PETROVSKIY ◽  
Fedor A. Buryukin

This article presents the research results of parametric and non-parametric identification methods of the technological models of well operation using electric submersible pump installations. The use of a hybrid approach is proposed, combining parametric and non-parametric models to obtain accurate models that allow the prediction of well performance parameters. Studies of simulation methods under conditions of interference effect of different level, which are typical for signaling channels of real data management, control systems, and measuring instruments, have been conducted. The combined models proposed have been constructed with the help of the Rosenblatt–Parzen non-parametric regression, parametric models with automatic adaptation of parameters and artificial neural networks. Such combined models have been shown to possess essential generalizing possibilities, allowing for smoothing of parametrical data and the restoration of initial dependences with a significantly smaller error in relation to the disturbing interference. The developed methods and models were implemented for research purposes in the software system, which allows a complex simulation of changes in parameters during well operation using the electric submersible pump installations. To evaluate the results’ statistical significance, methods of statistical processing have been applied using ANOVA. The results demonstrate that for an effective solution to the problem of the process simulation of well operation and to ensure high adaptability of the models, the combined approach is the most effective method. Models on the basis of artificial neural networks after adjustment allow us to improve the efficiency of the solution to the prediction problem and at the same time have necessary flexibility for adaptation of the computational structure under the conditions of changing performance parameters. The parametric block of models allows us to use a priori information about dependences of performance parameters and to identify reasonably accurate the drift of parameters under the conditions of instability of the process under study.


Author(s):  
S.S. Ulianov ◽  
◽  
R.I. Sagyndykov ◽  
D.S. Davydov ◽  
S.A. Nosov ◽  
...  

2011 ◽  
Vol 121-126 ◽  
pp. 3195-3199
Author(s):  
Li Feng Yang ◽  
Jun Yuan ◽  
Wei Na Liu ◽  
Xiu Ming Nie ◽  
Xue Liang Pei

Use Kingview to acquire and display the centrifugal pump performance parameters for the real-time data, and will stored the collected experimental data in Access databases, using VB database read, and drawing function for the data processing and rendering performance parameters of relationship curves.


2011 ◽  
Vol 383-390 ◽  
pp. 1555-1561
Author(s):  
Wu Li Wang ◽  
Yan Jiang Wang

In view of the characteristics of the oil drilling process and the existing problems of traditional simulation system, a new distributed drilling simulation model was established based on Multi-Agent system (MAS) technology. By means of autonomous, cooperative and reactive characteristic of Agent, the drilling laws and phenomenon can be reflected promptly and accurately under any circumstances. The MAS modeling for oil drilling simulation, the structure and knowledge representation of each Agent and the communication among Agents are described in detail. Finally, an Agent-based normal drilling well control simulation training example was given. The simulation results show that the simulator based on Multi-Agent system has better performances than traditional drilling simulators, and enhances the integrated training function of the drilling simulation system.


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