Personal Statement of Master Application

The attachment is my personal statement. The content is fixed; I would like to modify the language and revise it. Thanks!

Personal Statement

When I was 15 years old, our school set up a high drilling rig on the campus to dig a water well. Amid the loud noise of the diesel engine, the mud continued to pour out. This was the first time I saw drilling fluid, drill bits, and oil engineering related fields. When I was in high school, I liked physics and chemistry very much, and I have a keen interest to become an engineer. Petroleum engineering is based on these two disciplines. The flow of fluid is fascinating because of its invisibility. At the same time, the rigorous thinking logic of drilling made me deeply attracted to it. So I chose petroleum engineering as my undergraduate major. During my undergraduate study, my interest drove me to achieve excellent results in basic courses related to petroleum engineering, including advanced mathematics, linear algebra, discrete mathematics, mechanical drawing, probability theory and statistics, college physics, college chemistry, fluids mechanics, material mechanics, theoretical mechanics (I got straight As in all of the courses). Besides, through some professional courses, such as oil and gas reservoir development engineering 1, reservoir numerical simulation, well completion engineering, I realized that mathematical modeling and computer simulation have very powerful and promising applications in petroleum engineering. This has stimulated my strong interest and hope to further strengthen my understanding of this field and the mastery of professional skills through the master’s study. Therefore I want to apply the XXX program offered by XXX university.


My earliest scientific research experience was about studying the relationship between the haze concentration and respiratory diseases. In recent years, haze frequently appeared in northern China in winter and the incidence rate of lung diseases has been increasing. Previous studies on the relationship between haze and the incidence rate focused on specific kinds of diseases which lack of a broad range of data analysis. Therefore our team of three decided to collect data through questionnaires and then analyze data in order to figure out the relationship between haze concentration and respiratory diseases. Based on the literature and our discussion, we went to hospitals, schools and communities to survey people about their respiratory status (cough, dyspnea, throat discomfort, and other symptoms) under different haze concentration conditions. I mainly led the data analysis part. In the beginning, through careful observation of the data, I would pick out invalid questionnaires because some people made exactly same responses to all questions. Based on the visualization of haze concentration and incidence rate of respiratory diseases, I selected several models that can describe their mathematical relationship. By observing the candidate model and fitting statistics of the data, I found a mathematical model that best describes the relationship between haze concentration and incidence rate of respiratory diseases. At the same time, I did not stop at analyzing the general data, instead, I divided the participants into different groups according to the specific information, and compared the data of different groups. I found that haze concentration had a similar trend on the influence of incidence rate of respiratory diseases among different groups of people, but the scale of the impact varied in different groups. These findings will help us to carry out specific treatments for respiratory diseases in different populations. Through this project, I have gained a basic understanding of scientific research methods, understood how to identify and solve problems, and cultivated my rigorous attitude towards data analysis.


In the following two years of studying professional courses, I found that I am more interested in the field of petroleum drilling and reservoirs. Sand control is an important part of well completion and construction. In order to improve my scientific research ability in specific projects, I participated in the design of sand control projects for special oil fields. My team mainly analyzed the characteristics of different reservoirs and the features of the required sand control. First of all, in order to fully understand the various types of sand control, I conducted a detailed literature research and summarized the main components and important parameters of sand control. After that, based on the detailed analysis of the characteristics of the special reservoir, multiple designs that meet the needs of the special reservoir were selected from all the sand control types. In this project, it was difficult to quantify the performance of sand control based on various indicators. Through group discussion and asking our professor’s advice, we finally decided to simplify the indicator quantification formula in the literature under specific conditions, and build a model to simulate the sand control based on python. We simulated the performance of the equipment with different parameters, such as efficiency, failure rate, etc., and then selected the best parameters.


As I had more in-depth study experience of this major, I realized that in the field of petroleum engineering, excellent engineers should consider both technical and economic feasibility. Therefore, I participated in the “Evaluation of Production Feasibility of Bone Spring Oil Field” project. First, in order to predict the future production of the Bone Spring oil field and combine the existing production data to analyze the feasibility of economic development, I used three models: Hyperbolic, Harmonic, and Exponential to fit the existing oil well production data and filter out a set of models that are closest to actual production data to predict the future output. In order to analyze the future economic feasibility of the project, we also needed to consider key economic parameters, such as oil price, labor cost, and equipment cost. However, the challenging part was that these economic parameters have great uncertainties. In order to solve this problem, according to the distribution of the economic parameters of each reservoir in the historical data, I chose to use Monte Carlo simulation to get the three scenarios: optimistic, most likely, and passive. After that, in order to quantify the revenue of each year, we used cash-flow analysis to analyze the three scenarios, and planed the specific production of the oil field based on the analysis results.


During my time in our college, I not only focused on learning professional knowledge and skills, but also devoted myself to various campus and social activities. As the class leader, I designed and choreographed a dance together with my classmates, and presented it wonderfully at the gala. Although there were many problems in the event, for example, some students were not very active in participating, and the design ideas were not in line with the requirements of the organizers, etc. However, through consultations with all parties on different issues, I solved the problems perfectly and came up with a plan that satisfied everyone. When I was doing the work of the Student Union, I have also organized and participated in a number of activities. The “Orientation Group” aims to help freshmen to quickly integrate into the life of the university; on weekends, I organized students to volunteer in nursing homes and helped clean rooms and chat with old people. In addition to the above activities, I also organized activities to invite professors and graduate students to give lectures to enhance the communication between the two sides, and therefore the undergraduates would have clearer ideas about their future life planning and choices.


UT Austin has provided many courses in graduate school. These courses will enrich my knowledge and lay the foundation for my future research. Among them, I am very interested in Advanced Petrophysics, Advanced Reservoir Engineering, Drilling, and Advanced Multi-Well Formation Evaluation. UT Austin has excellent an academic atmosphere, and there are also many professors with outstanding achievements. I plan to further lay a solid foundation of professional knowledge through participating in my interested projects, improving my scientific research ability, and in this way I will prepare myself for my doctoral studies in the future. My longer-term plan is to stay in the research field of the petroleum industry after obtaining my Ph.D. and gain achievements in intelligent drilling and reservoir modeling, and I want to make breakthroughs in oilfield development big data analysis, management and control operations. At the same time, I want to be in close contact with the industry, to apply my research into practice as soon as possible and receive feedback in time.



Only for Austin:

Dr. Professor. Mohan Kelkar is my teacher of Integrate Reservoir Model course and he is also my role model. In our course, he explained the basic principles in the process of reservoir modeling in detail in an easy-to-understand way. His abundant knowledge reserves and extremely high professionalism are impressive, and he can always explain abstract mathematical formulas and principles of probability in a clear and easy way. He also has a very high academic achievement and a great reputation in integrate reservoir model and liquid loading. At the same time, he has extensive contacts with the industry and often discusses the current status of the oil industry and possible future development directions with us. He has a very good relationship with the students and he is very patient in explaining and answering questions. I hope that I can become a person like him who has gained achievements in the academic field while having close ties with industry.

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