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Practical Approach to Effective Sand Prediction, Control and Management

Practical Approach to Effective Sand Prediction, Control and Management

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DEDICATION

This research material, titled “Practical Approach to Effective Sand Prediction, Control and Management” 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 Petroleum Engineering for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on Practical Approach to Effective Sand Prediction, Control and Management 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 production of formation sand is a problem associated with most oil deposits in the world. Major Sand production effects affect safety, well or field economics and continuous production. This has prompted the continued search for solutions to mitigate sand production in the oil and gas industry over time. The methodology often employed is through exclusive sand control or passive sand management. The ability to predict when a formation will fail and produce sand forms the basis as to what type of sand management strategy to use (whether downhole sand control system will be required or a sand management approach). As a result sand prediction forms the basis for major reservoir development plan.

Variety of models available, their applicability and accuracy can be confusing and not representative of the production experience. Also, the concept of sand prediction, control and management is often treated separately. This study views sand prediction, control and management as an interdependent concept (Holistic). Review of State of the art sand prediction, control and management is carried out to proffer better understanding of the concept of sand production management.

The mechanism of sand production is discussed with highlight of major parameters influencing sand production. It is identified that sand prediction forms the basis for reservoir development plan, therefore effective methodology for sand prediction, control and management is developed. Stepwise approach to carry out this concept is presented with flow charts and guidelines. In conclusion the study states the importance of data accuracy in sand prediction, the use of risk quantification. Quantifying uncertainties inherent in most predictions will help deploying the right type of sand management strategy in a formation.



Practical Approach to Effective Sand Prediction, Control and Management


1.1 Introduction

The production of formation sand is a major problem encountered during the production of oil and gas. Over 70 % of the world's oil and gas reserves sit in sand formations where sand production is likely to become an issue during the life of the well (Osisanya, 2010). Sand production is typical of tertiary formations (with permeability of 0.5 to 8 Darcy) and older formations as they enter their mature stages of production due to poor completion and impact of depletion. Areas where severe sand production problems occur include Nigeria, Trinidad, Indonesia, Egypt, Venezuela, Malaysia, Canada tar sands and Gulf of Mexico.

The reservoirs in these formations lie between 3,500 ft and 10,000 ft (subsea). Generally, the effects of sand production ranges from economics and safety hazards to well productivity and therefore has been an issue of interest to tackle in the petroleum industry. Some of these effects include erosion of downhole and surface equipment, pipeline blockage and leakage, formation collapse, damage to casing/production liner due to formation subsidence, and increased downtime. These devastating effects lead to more frequent well intervention and workovers generating additional needs for sand disposal particularly in offshore and swamp locations.

The effects of sand production are nearly always detrimental to the short and or long term productivity of the well (William and Joe, 2003). In order to mitigate problems related to sand production new strategies are being continuously investigated, from prediction to control and management. The ability to predict when a reservoir will fail and produce sand is fundamental to deciding whether to use downhole sand control or what type of sand control to use (Bellarby, 2009).

Sand production occurs normally as a result of drilling and reservoir management activities. Sand grains are disengaged from the rock matrix structure under physical (earth stress) and chemical action. The mechanism of sand production in terms of sand, volumes and sand producing patterns in the reservoir is needed to optimally develop a field. Mechanisms causing sand production are related to the formation strength, flow stability, viscous drag forces and pressure drop into the wellbore (Osisanya, 2010).

The critical factors leading to accurate prediction of sand production potential and sand production are:formation strength, in-situ stress, and production rate. Other factors are reservoir depth, natural permeability, formation cementation, compressibility, surface exposed to flow, produced fluid types and phases, formation characteristics, pressure drawdown and reservoir pressure. Predicting sand production involves developing empirical and analytical techniques.

Empirical techniques relate sand production to some single parameter or group of parameters such as porosity, flow or drawdown analytical techniques relates to rock stresses. Numerical analytical techniques are also sometimes used. They are models developed from finite element analysis. The techniques above use production data, well logs, laboratory testing, acoustic, intrusive sand monitoring devices, and analogy (Osisanya, 2010). At present, predicting whether a formation will or will not produce sand is not an exact science and needs more improvement.


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 Petroleum Engineering Researchers


In preparation for defending a project or seminar on Practical Approach to Effective Sand Prediction, Control and Management, 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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