BSc. in Petroleum Engineering

Objectives

To  impart  to  students  requisite  thermodynamics  knowledge  and  its  applications  in  the

petroleum industry; To learn among others, behaviour of fluids, solution thermodynamics, phase and, or chemical reaction equilibrium.

Learning Outcome

At the end of the course students will be able to:

Apply thermodynamic equations to ideal and non-ideal systems

Apply petroleum engineering thermodynamics to the real oil and gas industry.

Prerequisites

CP 203

Mode of Delivery

3 hour lecture + 1 hour tutorial/practical per week (60 Hours)

Course Assessment

The course will be assessed through:

Continuous Assessment (tests, quizzes and/or homeworks)                                              : 40% University Examination                                                                                                       : 60%

Course contents

Thermodynamic  properties  of  fluid  mixtures;  Equations  of  state  for  ideal  and  non-ideal

systems; Partial molar properties, chemical potential, fugacity and fugacity coefficients for pure  species  and  species  in  solution,  residual  properties;  Properties  of  mixtures  –  ideal mixtures,  excess  properties,  Gibbs  Duhem  relation,  excess  Gibbs  free  energy  models; Henry’s law.

Phase  transition  in pure  substance,  vapour  pressure  of  pure  substance;  Gibbs  phase  rule, Qualitative behaviour of Vapour-liquid equilibrium in binary and multi-component  system, ideal model for VLE, bubble point and dew point calculations.

Reaction  coordinate,  criteria  for phase and, or chemical  reaction  equilibrium,  equilibrium constant, effect of temperature on equilibrium constant, equilibrium of homogeneous gas and liquid phase reactions; Gibbs free energy application

Recommended Text Books

1. Prausnitz,   J.   M.,   Lichtenthaler   and   de-Azevedo    E.   G.,   (2010):   Molecular

Thermodynamics of Fluid Phase Equilibria, 3rd Edtn.2, Prentice Hall Intern. Series.

2. Sandler, S.I., (2006): Chemical, Biochemical and Engineering Thermodynamics,  4th

Edition, Wiley and Sons.

3. Rao  Y.V.C.,  (2005):  Chemical  Engineering   Thermodynamics,   University  Press, Hyderabad,

Recommended References

1. Tester, J. W. and M. Modell, (1997): Thermodynamics and Its Applications, 3rd Edn.

Prentice Hall, New Jersey.

2. Reid,  R.C,  Prausnitz,  J.M  and  Poling,  B.E.,  (1988):  The  Properties  of  Gases  and

Liquids, Fourth Edition, McGraw-Hill Int. Edition

Objective

To introduce students to geostatistical principles as applied in Petroleum Engineering.  The

course will allow students to have thorough knowledge of the steps involved in proving a reservoir; to understand the typical geostatistical problems and their solutions; to understand the meaning of regionalized variables (spatial distribution of samples) and random functions;

and to be able to interpret the concept of in situ resources and recoverable resources.

Learning outcomes

Upon completion of this course, the student will be able to:

(a)  Generate variogram models using samples collected from the field

(b)  Identify the continuity of the mineralization for given set of samples and geological data

(c)  Create resource block models from exploration dataset

(d)  Carry out point and block estimation of grade using kriging method.

Pre-requisites: MT 271, MT 161, MN 102, GY 100

Mode of Delivery

3 hrs lecture+ 1 hr tutorial per week (60 Hours)

Mode of assessment

The course will be assessed on continuous assessment only which will be composed of the following breakdowns

Continuous Assessment (tests, quizzes and/or homeworks)                                              : 40% University Examination                                                                                                       : 60%

Course Contents

Geostatistics and mining application:

General introduction of the steps involved in proving a deposit; traditional interpolation methods;  geostatistical  language;  some typical problems  and their geostatistical  approach. This is followed  by a Theory  of regionalized  variables,  in which  topics  on regionalized variables and random functions; estimation variance; dispersion variance; covariance, regularization; calculation of the mean values are covered.

Structural Analysis

Nested structures and the nugget effect models of variogram are covered followed by the practice of structural analysis.

Ordinary and simple krigging methods of mineral resource estimation

The  topic  will  involve  coverage  of  the  theory  and  application  of  Ordinary  and  simple

Krigging;  point and block krigging of the in situ resources  and recoverable  reserves; and permanence of distribution.

Recommended Textbooks

1.   Isobel, C., Harper, W.V., (2000): Practical Geostatistics, Geostokos Ecosse Ltd. Scotland.

2.   David, M., (1977): Geostatistical Ore Reserve Estimation, Elservier Scientific Publishing

Co.

3.   Rendu, M., (1981): Introduction to Geostatistical Methods of Mineral Evaluation, 2nd Ed., Soth African Institute of Mining and Metallurgy.

Recommended References

1.   Alastair,  J.  S  and  Garston,   H.  B.  (2006)  Applied  Mineral  Inventory  Estimation.

Cambridge: University Press.

2.   Edward, H. I. and Mohan S. R., (1998): An Introduction to Applied Geostatistics.