Education, Science, Technology, Innovation and Life
Open Access
Sign In

Simulation Algorithm of Multiple Indicator Diagram Based on Pumping Well Principle

Download as PDF

DOI: 10.23977/acss.2023.071016 | Downloads: 14 | Views: 296

Author(s)

Li Bilian 1, Wang Yi 1, Wu Junping 1, Hu Zhichao 1, Xiong Wangli 1

Affiliation(s)

1 Computer Science and Engineering College, Sichuan University of Science & Engineering, Zigong, Sichuan, 643000, China

Corresponding Author

Li Bilian

ABSTRACT

At present, the acquisition of indicator diagram is relatively difficult, and many oil companies do not disclose indicator diagram resources. Therefore, in order to obtain a large number of indicator diagram research data of different working conditions, a simulation algorithm based on the pumping principle of oil rod pump is proposed for various working conditions, such as gas influence, insufficient liquid supply, disconnection, piston stuck, leakage, etc. Based on the mechanical model of the upper and lower stroke of the rod, the force analysis, deformation analysis and motion process analysis are carried out, and the displacement and load law of the rod in the pumping unit are studied. A special calculation program is written, and the simulation algorithm of indicator diagram under various working conditions is obtained through a lot of repeated verification and calculation. The result of sample generation shows that there is little difference with the actual working condition indicator diagram, which can be used as research data to improve the working condition fault identification efficiency.

KEYWORDS

Pumping unit, operating type, sample generation

CITE THIS PAPER

Li Bilian, Wang Yi, Wu Junping, Hu Zhichao, Xiong Wangli, Simulation Algorithm of Multiple Indicator Diagram Based on Pumping Well Principle. Advances in Computer, Signals and Systems (2023) Vol. 7: 118-126. DOI: http://dx.doi.org/10.23977/acss.2023.071016.

REFERENCES

[1] Zhao Kexin, Ma Xiaohui, Ma Yanfen, etc. Optimization of Artificial Neural Networks in Oil Well Fault Diagnosis[J]. Coal Technology, 2011, 30(5): 196-198.
[2] Sun Yuyang. A Review of Deep Learning and Its Research in Image Classification and Recognition[J].Information Technology and Informatization, 2018(01):138-140.
[3] Gibbs S G. Predicting the Behavior of Sucker Rod Pumping Systems [J]. SPE Journal Paper, 1963, 588-PA. 
[4] Lekia S D. A Coupled Rod and Fluid Dynamic Model for Predicting the Behavior of Sucker Rod Pumping Systems Part 2: Parametric Study and Demonstration of Model Capabilities [J]. SPE Journal Paper, 1995, SPE-30169-PA.
[5] Krzysztof P and Jaroslaw A C. Optimizing Downhole Fluid Production of Sucker-Rod Pumps with Variable Motor Speed [J]. SPE Production & Operations, 2009, 346-352.
[6] Lao Liming, Zhou Hua. Application and effect of buoyancy on sucker rod string dynamics[J]. Journal of Petroleum Science and Engineering, 2016, 264-271.
[7] Standing M B.A pressure-volume-temperature correlation for mixtures of California oil and gas[J].API Drill Prod Prac, 1947,28(44):275-386.

Downloads: 13805
Visits: 261786

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.