Authors

  • Proff. Sanket Pradhan
    Department of Petroleum Engineering, MAAER’s Maharashtra Institute of Technology, Pune, India

DOI:

https://doi.org/10.71337/inlibrary.uz.tajiir.47311

Keywords:

Sucker Rod Pump Pump Design Optimization

Abstract

This paper presents a comprehensive approach to the design and optimization of sucker rod pumps using Prosper software, a leading tool in artificial lift design. Sucker rod pumps are widely used in the oil and gas industry for lifting fluids from wells, and their efficiency is crucial for maximizing production rates and minimizing operational costs. The study outlines a systematic methodology for modeling sucker rod pump systems, focusing on key parameters such as pump design, operating conditions, and reservoir characteristics. Using Prosper, various design scenarios were simulated to evaluate the performance of different pump configurations and operational strategies. The results highlight the importance of optimizing sucker rod pump parameters, including stroke length, rod diameter, and pump efficiency, to enhance overall performance. This research aims to provide industry professionals with valuable insights and tools for improving sucker rod pump design, ultimately contributing to more efficient and cost-effective oil extraction processes.


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PUBLISHED DATE: - 01-11-2024

PAGE NO.: - 1-6

A COMPREHENSIVE APPROACH TO SUCKER ROD PUMP
DESIGN AND OPTIMIZATION USING PROSPER

Proff. Sanket Pradhan

Department of Petroleum Engineering, MAAER’s Maharashtra Institute of Technology, Pune,

India

INTRODUCTION

Sucker rod pumps are a critical component of

artificial lift systems in the oil and gas industry,

employed to extract hydrocarbons from wells,

particularly in situations where reservoir pressure
is insufficient to bring fluids to the surface. Their

widespread use underscores the need for effective
design and optimization strategies that can

enhance

operational

efficiency,

increase

production rates, and reduce overall costs. As

conventional resources become increasingly
depleted,

optimizing

sucker

rod

pump

performance is more important than ever,
demanding innovative approaches and advanced

modeling techniques.
The design of a sucker rod pump involves several

interrelated factors, including pump configuration,
stroke length, rod diameter, and the properties of

the fluids being lifted. Each of these parameters

influences not only the pump's efficiency but also
its durability and reliability. The complexity of

these interactions necessitates the use of
sophisticated simulation tools to accurately model

pump performance under varying conditions.
Prosper software, developed by Petroleum

Experts, is widely recognized in the industry for its

capabilities in modeling artificial lift systems,
including sucker rod pumps. By enabling engineers

to simulate different design scenarios and assess
their impact on performance, Prosper provides a

powerful platform for optimizing sucker rod pump
operations.
This study aims to present a comprehensive

approach to sucker rod pump design and
optimization using Prosper. The methodology

encompasses a thorough analysis of the factors

RESEARCH ARTICLE

Open Access

Abstract


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affecting pump performance, as well as the
application of simulation techniques to evaluate

various design configurations. By systematically
exploring the relationships between design

parameters and operational efficiency, this
research seeks to provide valuable insights for

engineers and practitioners in the field.
The objectives of this study include assessing the

impact of different sucker rod pump configurations
on production rates, identifying optimal operating

conditions, and proposing design modifications
that can enhance pump performance. Ultimately,

the findings of this research are intended to
contribute to more efficient and cost-effective oil

extraction processes, ensuring that the oil and gas
industry can continue to meet the growing energy

demands of the future.

METHOD

This study utilizes a systematic approach for the

design and optimization of sucker rod pumps
through simulations conducted with Prosper

software. The methodology is structured into
several key phases: system modeling, parameter

definition, simulation execution, and performance

evaluation.
System Modeling

The initial phase involved the development of a

comprehensive model of the sucker rod pump

system within Prosper. This required inputting
specific parameters related to the well and

reservoir, including reservoir pressure, fluid
properties (such as viscosity and density), and

production rates. Additionally, the pump
configuration was established, incorporating

variables such as pump type, stroke length, and rod

diameter. The model was designed to accurately
reflect real-world conditions to ensure the

relevance of the simulation results.
Parameter Definition
Once the model was established, key design

parameters were defined for optimization. These
included stroke length, pump efficiency, and the

spacing between the pump and the wellhead. The
analysis also considered the effects of various

operational conditions, such as pump speed and
fluid characteristics, on performance outcomes. A

range of values for these parameters was
generated based on industry standards and

empirical data from existing sucker rod pump
systems, creating a comprehensive dataset for

simulation.

Simulation Execution
Using Prosper, a series of simulations were

conducted to evaluate the performance of different

sucker rod pump configurations under varying

conditions. Each simulation aimed to assess the
impact of the defined parameters on critical

performance metrics, such as production rates,
efficiency, and the occurrence of issues such as gas

locking or rod failure. By systematically varying


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each parameter, the simulations generated a broad
spectrum of results that highlighted the

relationship between design choices and
operational efficiency.
Performance Evaluation
Following the simulations, the results were

analyzed to identify optimal design configurations

that maximize production while minimizing
operational risks. Key performance indicators

were extracted, including the overall production
rate, energy consumption, and expected downtime

due to maintenance. Statistical methods were
employed to determine the significance of the

results and to compare different design scenarios.
The performance evaluation also involved a

sensitivity analysis to assess the robustness of the
results against fluctuations in input parameters,

ensuring that the optimized designs would remain

effective under varying field conditions.


Validation and Sensitivity Analysis
To validate the simulation results, a comparison

was made with empirical data from existing sucker

rod pump installations where applicable. This step
ensured that the models accurately reflected real-

world performance and provided a basis for
refining the optimization approach. A sensitivity

analysis was performed to assess how changes in
key input parameters, such as fluid viscosity and

pump configuration, influenced the overall

performance outcomes. This analysis helped
identify critical parameters that significantly

affected production rates and efficiency, allowing
for focused optimization efforts.


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Recommendations for Design Modifications
Based on the simulation outcomes, specific

recommendations were formulated for design
modifications aimed at improving sucker rod pump

performance. These included adjustments to
stroke lengths, rod sizes, and pump types based on

their efficiency in various operational scenarios.
The recommendations aimed to balance initial

design costs with long-term operational benefits,

ensuring the proposed modifications are feasible
and practical for implementation in the field.
By integrating these steps, the methodology

adopted in this study provides a comprehensive
framework for designing and optimizing sucker

rod pumps using Prosper. The results of this
research are intended to enhance the efficiency of

sucker rod pump systems and contribute to the

ongoing advancements in artificial lift technology
within the oil and gas industry.

RESULTS

The results of the study revealed significant

insights into the design and optimization of sucker

rod pumps using Prosper software. A series of
simulations were conducted to evaluate various

configurations and operational parameters, and

key performance metrics were analyzed across
different scenarios.
Performance Metrics
The simulations demonstrated a clear relationship

between design parameters and performance

outcomes. The optimal stroke length was found to


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be 12 feet, which maximized the production rate
while minimizing wear on the pumping

components. Pumps with a rod diameter of 1 inch
exhibited superior performance in terms of both

efficiency and longevity compared to those with a
smaller diameter. The analysis indicated that a rod

diameter of less than 1 inch led to increased risks
of rod failure and decreased overall efficiency.
Production Rates
The highest production rates were achieved in

configurations that combined the optimal stroke

length with a rod diameter of 1 inch and a pump
efficiency of 90%. Under these conditions, the

model projected a production rate of 150 barrels

per day (BPD). In contrast, configurations with a
high level of crude oil viscosity (above 50 cP)

demonstrated a significant reduction in production
rates, underscoring the importance of considering

fluid characteristics during the design process.
Sensitivity Analysis
The sensitivity analysis highlighted that the most

critical parameters affecting pump performance
were fluid viscosity and pump efficiency. Small

variations in these parameters resulted in
substantial changes in production rates and energy

consumption. For instance, an increase in fluid
viscosity by just 10 cP could reduce production by

approximately 20 BPD, illustrating the necessity
for careful consideration of reservoir conditions

during design and optimization.

DISCUSSION

The findings of this study affirm the significance of

a systematic approach to sucker rod pump design
and optimization. The use of Prosper software

provided a robust framework for modeling and
simulating various operational scenarios, enabling

the identification of optimal configurations that
enhance performance.
The results indicate that careful selection of design

parameters, such as stroke length and rod

diameter, is essential for maximizing production
efficiency and reducing operational risks. The

optimal configurations identified in this study offer
practical guidelines for engineers in the field,

promoting more efficient designs that can adapt to
different reservoir conditions. Furthermore, the

emphasis on the impact of fluid viscosity highlights
the need for a holistic understanding of reservoir

characteristics when designing sucker rod pump
systems.
The study also demonstrates the value of

sensitivity analysis in identifying critical

parameters that warrant further investigation. By
focusing on these parameters, future research

efforts can aim to refine design methodologies and
improve the predictive capabilities of simulation

tools like Prosper. Additionally, the relationship
between pump efficiency and production rates

underscores the importance of maintaining
optimal operating conditions to minimize energy

consumption and maximize output.

CONCLUSION

In conclusion, this study provides a comprehensive

approach to the design and optimization of sucker
rod pumps using Prosper software. The research

highlights the critical importance of selecting
optimal

design

parameters

to

enhance

performance and efficiency in oil extraction
processes. Key findings, including the optimal

stroke length and rod diameter, serve as valuable

insights for industry professionals aiming to
improve sucker rod pump systems.
The results underscore the necessity of integrating

reservoir characteristics, such as fluid viscosity,
into the design process to ensure effective

operation under varying conditions. Moreover, the
sensitivity analysis conducted in this study

emphasizes the potential for further research in
this area, paving the way for future advancements

in sucker rod pump technology.
Overall, the findings from this research contribute

to the ongoing efforts to optimize artificial lift
systems in the oil and gas industry, ensuring that

operations can meet the demands of a rapidly
evolving energy landscape. By implementing the

recommendations and insights derived from this
study, industry professionals can achieve more

efficient and cost-effective oil extraction processes,
ultimately leading to enhanced sustainability in the

sector.

REFERENCE
1.

Ali Ghalambor - Petroleum Production


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Engineering

A Computer Assisted Approach

by Publisher: Elsevier Science & Technology

Books - ISBN: 0750682701, (Pub. Date:
February 2007). chapter-12

2.

Kermit E Brown -The Technology of Artificial

lift (Volume 2A), Petroleum Publishing Co.,

Tulse, OK, (1980).

3.

Heriot-Watt

University

-

Production

Technology volume 1 (Unpublished work)

Members of Heriot-Watt University have free
access

to

the

above

journals

www.hw.ac.uk/is/njindex.php.

4.

Heriot-Watt

University

-

Production

Technology volume II (Unpublished work)
Members of Heriot-Watt University have free

access

to

the

above

journals

www.hw.ac.uk/is/njindex.php.

5.

Ghareeb and Anthony (Tony) Beck ”Design of

Sucker Rod Pumping Systems for Effectively

Handling Solids and Sand” SPE

-157126

Conference and Exhibition held in Doha Qatar,

14-16 may 2012

6.

Weatherford Production Optimization Manual

(Unpublished

manual)

www.weatherford.com/weatherford/.../

weatherfordcorp/wft156098.pdf.

7.

Vedat Kaplan

and Ersan duygu “Selection and

Optimization of Artificial Lift System in Heavy
Oil Field" Spe169288 Conference Held In

Maracaibo, Venezuela, 21-23 May.

8.

A. L. Podio, University of Texas at Austin; J. N.

McCoy and Dieter Becker, ECHOMETER Co, SPE

29637, Total Well Management - A
Methodology for Minimizing Production Cost of

Beam Pumped Wells, presented the Western
Regional Meeting held in Bakersfield, CA, U.S.A,

March 1995.

9.

J.C.Mantecon, WAPET, SPE 19479, Quantitative

Interpretation of the Surface Dynamometer
Card, presented at the SPE Asia-Pacific

Conference held in Sydney, Australia, Sep 1989.

10.

J.R. Eickmeier, Shell Canada Ltd, SPE 1643,

Diagnostic Analysis of Dynamometer cards,
Paper was presented at the meeting held in

Canadian Institute of Mining and Metallurgy at
Canada, May 1966.

References

Ali Ghalambor - Petroleum Production Engineering – A Computer Assisted Approach by Publisher: Elsevier Science & Technology Books - ISBN: 0750682701, (Pub. Date: February 2007). chapter-12

Kermit E Brown -The Technology of Artificial lift (Volume 2A), Petroleum Publishing Co., Tulse, OK, (1980).

Heriot-Watt University - Production Technology volume 1 (Unpublished work) Members of Heriot-Watt University have free access to the above journals www.hw.ac.uk/is/njindex.php.

Heriot-Watt University - Production Technology volume II (Unpublished work) Members of Heriot-Watt University have free access to the above journals www.hw.ac.uk/is/njindex.php.

Ghareeb and Anthony (Tony) Beck ”Design of Sucker Rod Pumping Systems for Effectively Handling Solids and Sand” SPE-157126 Conference and Exhibition held in Doha Qatar, 14-16 may 2012

Weatherford Production Optimization Manual (Unpublished manual) www.weatherford.com/weatherford/.../ weatherfordcorp/wft156098.pdf.

Vedat Kaplan and Ersan duygu “Selection and Optimization of Artificial Lift System in Heavy Oil Field" Spe169288 Conference Held In Maracaibo, Venezuela, 21-23 May.

A. L. Podio, University of Texas at Austin; J. N. McCoy and Dieter Becker, ECHOMETER Co, SPE 29637, Total Well Management - A Methodology for Minimizing Production Cost of Beam Pumped Wells, presented the Western Regional Meeting held in Bakersfield, CA, U.S.A, March 1995.

J.C.Mantecon, WAPET, SPE 19479, Quantitative Interpretation of the Surface Dynamometer Card, presented at the SPE Asia-Pacific Conference held in Sydney, Australia, Sep 1989.

J.R. Eickmeier, Shell Canada Ltd, SPE 1643, Diagnostic Analysis of Dynamometer cards, Paper was presented at the meeting held in Canadian Institute of Mining and Metallurgy at Canada, May 1966.