Courses | VD Academic Affairs

The course is designed to provide students with a firm foundation in Geostatistics. The participants will be familiar with traditional and novel geostatistical tools for mapping petrographic properties. The first part of the course will focus on Data Analysis, Development and Modeling of emphasize on various techniques for modeling geological media such as Kriging, Sequential Indicator Simulation, and Simulated Annealing.

Phase behavior of petroleum reservoir fluids plays an important role in most oil recovery calculations. Thus defining each type of reservoir fluids and understanding their behavior is a vital step towards description and modeling of reservoir performance and future recovery processes. The use of laboratory data and empirical corelations to obtain PVT will be discussed. Characterization of the reservoir fluids as well as predicting their physical properties with EOS's will be performed. Exercise of tuning and danger of tuning of the EOS's parameters are covered. Methods of lumping and splitting of the reservoir fluids for EOS simulation will be presented.

Theoretical treatment of two-phase flow. Introduction to two-phase flow phenomenon. Recent modeling approaches and a review of the early models. Flow pattern transition prediction and flow pattern modeling for vertical, horizontal and inclined pipes. Unified models.

Advanced study of the total system associated with production and transportation of oil and gas. NODAL TM system analysis. Steady state multiphase flow through pipes and restrictions. Comprehensive mechanistic models for multiphase flow in wellbores and pipelines. Two phase flow design.

Log Evaluation In Shaly Sandstones, Log Evaluation In Carbonate Reservoirs.

This course provides a thorough overview of the artificial lift methods. Theory, application, and design of the most important artificial lift methods, including gas lift, beam pumping, and electrical submersible pumping.

This course provides students with the thermal recovery concepts. It teaches students the Heavy oil recovery by thermal techniques. The course delivers advanced and detailed information on the subject.

This course is designed to provide a fundamental background of drilling fluids design and functions. The student will be familiar with the different kinds of drilling fluids used in drilling operations. The proper selection of drilling fluid will be explained. The advantaged and disadvantages each drilling fluid type will be discussed. The student will be exposed to drilling fluid hysical and chemical properties and how they affect the drilled rock.

An upper division of graduate technical elective treating topics in Engineering mostly not covered in other courses, chosen at the discretion of the Graduate Program Committee.

Project course for non-thesis students.

Definition and concepts of industrial and management systems engineering (IMSE), the roles and jobs of industrial engineers, professional conduct and ethics of engineers, activities of IMSE, applications of IMSE tools and techniques to real-world organizations.

Lab experiments, analysis, and writing reports, basic lab experiments covering quality, work design and measurement, facilities, simulation, and ergonomics and safety, exposure to IMSE instruments and equipment and their functions, lab safety provisions.

Work study, productivity, and quality of life, the work study approach, method study procedure, techniques and tools for process analysis and redesign and simplification, work measurement sampling and time study, setting time standards.

Safety and health engineering fundamentals, engineering and administrative controls of hazards in industry and business, risks to employees, facilities, production, and the environment, local and international safety and health laws, regulations and standards, incident data recordkeeping and reporting, hazard assessment techniques and controls, safety and health management systems.

Random samples and sampling distributions, point and interval estimation, confidence intervals and tests of hypotheses for a single and two populations for different parameters (mean, variance, proportion), simple linear regression and correlation, multiple linear regression, analysis of variance, nonparametric statistics.