Clayton Deutsch, PhD, PEng

Professor, Faculty of Engineering - Civil and Environmental Engineering Dept
Directory

Summer Term 2024 (1880)

MIN E 310B - Ore Reserve Estimation

1.5 units (fi 8)(EITH/SP/SU, 3-2-0)

Conventional and geostatistical methods for construction of orebody models. Contouring techniques for mapping bounding surfaces of stratigraphic layers. Coordinate transforms and geometric techniques. Estimation and simulation methods for characterizing ore grade variability. Ore reserve classification, uncertainty assessment, mine selectivity, and grade control. Co-requisites: MATH 209, EAS 210, and MIN E 325.

LECTURE C1 (40415)

2024-07-01 - 2024-08-02
MW 12:00 - 13:20

SEMINAR E31 (40416)

2024-07-01 - 2024-08-02
W 14:00 - 15:50

Continuing Ed Fall 2024 (1886)

EXAGC 4007B - Applied Geostatistics

34 units

The Citation in Applied Geostatistics fits an important niche between the conventional on-week short course and the 2 year Masters degree program. It is ideally suited to those from industry who seek a more indepth understanding of modern geostatistical tools. Restricted to Applied Geostatistics program students.

LECTURE FA01 (20080)

2024-09-01 - 2024-09-27
01:00 - 01:00

LECTURE FA02 (20186)

2024-09-01 - 2024-09-27
01:00 - 01:00

Fall Term 2024 (1890)

MIN E 295 - Introduction to Mining Engineering

3 units (fi 8)(EITHER, 3-0-3/2)

Mining concepts and terminology, company operations, stages of mining, unit mining operations, surface and underground mine development and methods, feasibility studies and mine costs, ethics, equity, sustainable development and environmental stewardship, public and worker safety and health considerations including the context of the Alberta Occupational Health and Safety Act.

LECTURE A1 (46558)

2024-09-03 - 2024-12-09
TR 12:30 - 13:50

LAB D21 (46559)

2024-09-03 - 2024-12-09
T 14:00 - 16:50



MIN E 612 - Principles of Geostatistics

3 units (fi 6)(EITHER, 3-1S-0)

Geostatistical methods are presented for characterizing the spatial distribution of regionalized variables. The theory of random variables and multivariate spatial distributions is developed. This class focuses on the quantification of spatial variability with variograms, estimation with kriging, and simulation with Gaussian techniques.

LECTURE A1 (51792)

2024-09-03 - 2024-12-09
W 14:00 - 16:50