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Gas Lift Optimization of Oil Producing Wells Using Proper Nodal Analysis

Gas Lift Optimization of Oil Producing Wells Using Proper Nodal Analysis

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DEDICATION

This research material, titled “Gas Lift Optimization of Oil Producing Wells Using Proper Nodal Analysis” is dedicated to God for His boundless grace and guidance. It is also a tribute to all computer enthusiasts whose contributions made my research journey smoother and enriched my documentation process, making the experience truly fulfilling.




ACKNOWLEDGEMENT

I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Marine Engineering for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on Gas Lift Optimization of Oil Producing Wells Using Proper Nodal Analysis provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.




ABSTRACT

The quality of harvested rainwater is significantly influenced by the type of roofing materials used, as they contribute to variations in physical, chemical, and microbial properties. This study evaluates the effects of different roofing sheets on harvested water runoff by analyzing key water quality parameters. The findings reveal that galvanized iron sheets recorded the highest turbidity levels at 15.2 NTU, while aluminum sheets had the lowest at 4.8 NTU, indicating that metal roofing contributes to higher particulate matter in runoff. pH values varied between 6.2 and 7.5, with asbestos sheets yielding the most neutral pH, which falls within the acceptable drinking water range.

The highest concentration of heavy metals, particularly lead (0.032 mg/L) and zinc (1.45 mg/L), was detected in runoff from galvanized sheets, suggesting potential contamination risks. In contrast, aluminum and plastic roofs exhibited lower metal concentrations, making them safer alternatives for potable water collection. Microbial analysis showed that asbestos and plastic sheets had the lowest bacterial counts, whereas galvanized and coated metal sheets recorded significant contamination, with total coliform counts exceeding 120 CFU/100mL in some cases.

Based on the findings of this study, it was recommended that galvanized steel roofing should be prioritized for rainwater harvesting systems due to its ability to produce cleaner water runoff with minimal contaminants. Furthermore, systems using these materials should be equipped with effective filtration and purification systems to reduce the levels of suspended solids, heavy metals, and organic matter, ensuring that the water meets safety standards for consumption and other uses.



Gas Lift Optimization of Oil Producing Wells Using Proper Nodal Analysis


1.0 Introduction

1.1 Background of Study

The production of oil from underground reservoirs requires effective management and optimization of production systems to ensure maximum extraction of hydrocarbons while minimizing operational costs. One of the most widely used artificial lift methods in the oil industry is gas lift, which facilitates the flow of oil from the reservoir to the surface by injecting gas into the wellbore to reduce the hydrostatic pressure exerted by the column of fluids. Gas lift systems are designed to lift fluids by injecting gas at various depths in the well, which decreases the weight of the liquid column, allowing the oil to flow more easily. However, to achieve optimal performance, it is essential to properly design and monitor these systems to ensure that gas is injected at the correct rates and pressures. Improper optimization of gas lift systems can lead to suboptimal production, unnecessary energy consumption, and increased operational costs, making optimization a key factor in enhancing the efficiency and profitability of oil wells.

Nodal analysis is a comprehensive technique used to model the performance of the entire production system, from the reservoir to the surface facilities. It considers the wellbore geometry, fluid properties, and pressure conditions to determine the most effective operating points for gas lift systems. Several studies have demonstrated the effectiveness of nodal analysis in optimizing gas lift systems. For instance, it has been shown that nodal analysis can predict the flow performance of wells under various conditions, providing a more accurate and reliable method for designing gas lift systems compared to traditional techniques (Watson et al., 2017). The integration of nodal analysis with real-time monitoring allows for adaptive management of gas lift operations, ensuring that the system is always operating at peak efficiency.

According to Watson et al. (2017) gas lift optimization refers to the process of adjusting the operating parameters of a gas lift system to achieve the maximum possible production rate while minimizing energy consumption and operational costs. This is typically done by determining the optimal gas injection rate and pressure at different stages of the well's life cycle. Proper gas lift optimization can result in increased oil production, reduced downtime, and improved economic viability of oil reservoirs (Watson et al., 2017). Gas lift optimization is a critical technique in the oil and gas industry aimed at enhancing the production efficiency of oil wells. It involves the injection of gas into the production tubing of an oil well to reduce the hydrostatic pressure of the column of fluids, thereby increasing the flow of oil to the surface. The optimization of gas lift systems is crucial in maximizing well productivity, minimizing operational costs, and prolonging the life of oil wells.

Therefore, this study seeks to explore the role of nodal analysis in optimizing gas lift systems, with a focus on improving well performance and reducing operational costs in oil producing wells.


1.2 Statement of Problems

Investigation revealed that traditional gas lift systems often rely on static models that do not account for the dynamic nature of reservoir behavior and fluid properties. This limitation leads to suboptimal performance, with wells either underperforming or requiring excessive gas injection to maintain flow rates. As a result, operational costs rise, and the profitability of the wells decreases, especially in mature oil fields where every incremental improvement in efficiency is critical.

Furthermore, many oil operators still struggle with the complexity of properly sizing and tuning gas lift systems, especially in fields with heterogeneous or poorly understood reservoir properties. Without proper nodal analysis, these systems remain highly sensitive to external factors such as pressure variations and gas availability, making it difficult to optimize gas lift operations consistently over time.

Additionally, the difficulty in modeling complex wellbore systems and accurately predicting how changes in gas injection affect production often results in a trial-and-error approach to optimization, which is both time-consuming and costly. It is against the backdrop that this study seeks to address these issues by exploring how proper nodal analysis can be effectively used to optimize gas lift systems.


1.3 Aim and Objectives of Study

The aim of this study is to optimize gas lift operations in oil-producing wells through the application of proper nodal analysis.

The specific objectives of the study are:

  1. To explore the role of nodal analysis in modeling and simulating gas lift operations for better decision-making in gas injection rates and pressures.
  2. To assess the effectiveness of real-time data monitoring and adaptive control strategies in optimizing gas lift performance under varying reservoir conditions.
  3. To analyze the current gas lift optimization practices and identify limitations in traditional methods used in oil production.
  4. To evaluate the potential cost savings and production improvements achieved through the use of optimized gas lift systems in oil-producing wells.
  5. To recommend best practices and strategies for implementing gas lift optimization using nodal analysis in oil fields with different reservoir characteristics.

1.4 Research Questions

Based on the stated objectives, the following research questions guide this study on gas lift optimization using proper nodal analysis:

  • What are the limitations of traditional gas lift optimization methods in oil-producing wells, and how do they affect production efficiency?
  • How does the application of nodal analysis improve the accuracy of gas lift system design and optimization in oil wells?
  • What role does real-time data monitoring and adaptive control play in optimizing gas lift performance under varying reservoir conditions?
  • How can a comprehensive optimization model integrating nodal analysis with real-time data enhance decision-making and operational efficiency in gas lift operations?
  • What potential cost savings and improvements in oil production can be achieved by implementing optimized gas lift systems using nodal analysis?
  • What best practices and strategies should be adopted for successful implementation of gas lift optimization using nodal analysis in oil fields with diverse reservoir characteristics?

1.5 Significance of Study

The outcome of this research study will contribute significantly to the optimization of gas lift systems in oil-producing wells, offering valuable insights into how proper nodal analysis will enhance production efficiency and reduce operational costs. It will also will provide oil operators with a framework for optimizing gas lift systems, potentially resulting in substantial cost savings by minimizing unnecessary gas consumption and maximizing oil output.

Furthermore, the integration of real-time data with nodal analysis will create an adaptive system for gas lift optimization, which will enable more responsive and efficient management of well production, especially in dynamic and challenging reservoir environments.


1.6 Scope of Study

This study will focus on the optimization of gas lift operations in oil-producing wells located in Niger Delta, a region in Nigeria known for its significant oil reserves. The research will primarily target oil companies operating in this region, such as Shell Petroleum Development Company (SPDC), Chevron Nigeria Limited, and Total Nigeria, which employ gas lift techniques for oil extraction.


1.7 Limitations of the Study

A study of this nature is bound to experience certain problems as such the constraints imposed on the research include:

  1. Insufficient Data: The study was constrained by limited access to comprehensive operational data from the oil companies involved. Due to confidentiality and proprietary concerns, sufficient data was not readily available, which hindered a more detailed analysis of gas lift optimization systems across the targeted oil fields.
  2. Frequent Power Failures: The study was also affected by frequent power failures, which disrupted the research process, especially when utilizing computational tools and software for nodal analysis.
  3. Delay from Respondents: The study faced delays in receiving responses from the relevant stakeholders, such as engineers and operational managers at the oil companies.
  4. Financial and Time Constraints: Due to financial limitations, the study was restricted in its ability to explore all the required technical resources and tools needed for a more in-depth analysis. Additionally, the time constraints of the study period were another challenge, as it limited the scope of fieldwork and data collection, preventing a broader and more exhaustive examination of the optimization methods in gas lift systems.

1.8 Definition of Terms

Gas Lift:

Gas lift is an artificial lift method used in the oil and gas industry to enhance the production of oil wells by injecting gas into the production tubing. This gas reduces the hydrostatic pressure within the wellbore, enabling the oil to flow more freely to the surface. The method is commonly used in wells with low reservoir pressure, ensuring continuous production (Speight, 2017).

Optimization:

In the context of oil production, optimization refers to the process of improving the performance and efficiency of production systems, such as gas lift operations, through the application of techniques that enhance output, minimize energy consumption, and reduce costs. Optimization typically involves analyzing and adjusting various parameters to achieve the best possible result under specific conditions (Akinyemi et al., 2021).

Nodal Analysis:

Nodal analysis is a systematic approach used to evaluate and optimize the performance of oil wells by analyzing the flow of fluids within the wellbore, tubing, and reservoir. This method involves creating a model that helps predict the behavior of fluids under various conditions, assisting engineers in designing more effective and efficient production systems, including gas lift operations (Dake, 2014).

Oil Producing Wells:

Oil-producing wells are boreholes drilled into the Earth’s surface to extract crude oil from underground reservoirs. These wells are typically equipped with artificial lift systems, such as gas lift or pump systems, to facilitate the flow of oil to the surface (Kasim, 2018).


CHAPTER TWO

2.0 Literature Review

2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the conceputal review, theoretical framework, the review of related literature …

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Defense Procedure for Marine Engineering Researchers


In preparation for defending a project or seminar on Gas Lift Optimization of Oil Producing Wells Using Proper Nodal Analysis, it is imperative that as a nursing student, you demonstrate comprehensive knowledge of your research. The defense process is structured to include presenting your work, answering questions, and illustrating its pertinence. Initially, provide a succinct yet thorough introduction to your research topic, emphasizing its importance and the objectives, ensuring that both the audience and the External Examiner can understand the scope of your study.


Prior to your defense, be thoroughly acquainted with your research abstract and the critical elements of Chapter One, including motivation for embarking on this research, problem statement, objectives, and significance. In Chapter Two, be ready to cite at least two references from the literature review. For Chapter Three, you should be equipped to discuss the methodologies, tools, and techniques utilized. In Chapter Four, defend your research by justifying the findings and linking them to your research objectives.


Conclude your defense by succinctly summarizing the study and offering insightful, evidence-based recommendations. A professional dress code, such as wearing a suit and tie, is vital to create a favorable impression and elevate your presentation.


During the question and answer segment, the External Examiner may pose questions pertaining to your research. If confronted with a challenging or irrelevant question, respond diplomatically with, “Sorry, Sir/Madam, the question asked is beyond the scope of my study.” Whenever possible, direct your answers back to your research findings to reinforce your expertise.


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