This course will cover both Reservoir Characterisation and Numerical Reservoir Simulation. The course will introduce the student to the background knowledge in reservoir characterisation and modelling and guide the student in integrating extra-ordinarily sparse data spatially, across properties, and scales by application of geostatistical techniques.

Students will also develop an understanding of the fundamental aspects of seismic reflection methods, and the information that seismic reflection methods can provide. The benefits of carrying out seismic reflection surveys for petroleum reservoir development and production will also be examined.

This course also a part of the mathematics requirement of the stream. In the proposed stream, PTRL2019 (Reservoir Engineering A), PTRL3001 (Reservoir Engineering B), PTRL3040 Numerical Reservoir Simulation and PTRL3030 Reservoir Characterisation and Geophysics has 50% mathematics component. These courses along with MATH2019 (Engineering Mathematics 2E) meet the minimum requirement of Foundation Disciplinary Mathematics knowledge. These courses involve development of flow models (partial differential equation) and their analytical and numerical solution. The knowledge and skills in these courses include: partial differential equations, boundary conditions, numerical differentiation and integration, matrix operations, solution of matrices using exact and iterative methods, errors associated with numerical solutions. The course PTRL3030 teaches students to build a static model of the reservoir utilising geostatistical tools. The topics covered are: a) Moments of distributions, b) Covariance, c) Clustering/discriminant analysis/canonical variables, principle component analysis, d) Variograms, e) Co-variograms, f) Kriging including co-kriging and g) Stochastic simulation.