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Mathematical Models , Numerical Algorithms and Computer Technology

Study program:
Petroleum Engineering (VIII semester -BsC)
Name of subject: Mathematical Models , Numerical Algorithms and Computer Technology
Instructors:
Prof. Dragan Stankov
Status: Optional
ECTS: 5
Prerequisites: -
Course Objectives:
Introducing students with numerical analysis methods and their application in solving specific tasks. Introducing students with the software that is now applied in the petroleum industry in the world and in our country (PipeSim, Eclipse, Petrel).
Learning Outcomes:
Introduction of students with numerical analysis methods in solving specific tasks. Software mastering in the petroleum industry (PipeSim, Eclipse, Petrel).
Content:

Theory teaching
Recording of an approximate number, significant, secure digits, rounding rules. Absolute error, relative error and their boundaries. Function error and reverse error problem. Isolation of the real solution of the equation f (x) = 0 (analytical and graphical). Solving the equation f (x) = 0, methods: interval of interval, iteration, cuttings (regula falsi), Newton’s method (tangents), combined. Solving the system of linear equations: Gaussian, iterative method, Gauss–Seidel method. Solving the non-linear equations system: iterative method, Newton’s, gradient method. Interpolation: Lagrange interpolation polynomial, finite difference of a function, Newton’s interpolation polynomials, inverse interpolation. Differentiation. Integration: Methods of Rectangles and Trapezes, Simpson’s Method. Numerical solving of differential equations: Picard, Euler and Runge-Kutta methods. Network methods for partial equations of an elliptic, parabolic and hyperbolic type. PipeSim features, application possibilities. Eclipse-characteristics, application capabilities. Petrel-characteristics, application possibilities.

Practical teaching
Applying the numerical analysis methods specified in the content of the subject to solve tasks. PipeSim-application. Simulation of flow (oil and / or gas and / or water) through perforations, borehole, nozzle, piping. Separation. Integral flow simulation through out the entire production system. Dimensioning of production equipment (number of perforations, tubing diameter, nozzle diameter, piping diameter, separation conditions). Eclipse. Modeling of the ore deposit. Simulation. Estimation of the ore reserve. Petrel

Suggested Reading List:
  1. Miloš Miličić, Nada Miličić, Dragan Stankov: Elementi numeričke analize
Conduct of the Course:
Classical lectures followed by contemporary visual presentations and practical examples.
Fund hours:
Lectures Exercises Other forms of teaching Study research
2 2 0 0
Assessment:
Final Exam ECTS
Oral Exam25

Classwork Assessment ECTS
Class Participationа10
Seminars15
Additional Assessment Criteria: -


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