Description

Theory/Practice
1

Laboratory
3

Instructors

João Paulo Meixedo

Contents

1. Data analysis and statistics in geology. Elementary statistics (frequency distribution and histogram, statistics, other descriptive analysis). Exploratory data analysis. Analysis of data sequences. Analysis of maps. Multivariate data analysis.
2. Sampling Methods (sample preparation, sample size, reduction of weight of the sample, sample density).
3. Principles of geostatistical analysis. A brief history. Stationary. Kriging.
4. Analysis of the spatial dependence. Autocorrelation and Autocorrelograma. Semivariogram. Cross semivariogram and cokriging. Co-kriging. Variance of the estimate. Number of neighbors of the estimates. Examples of application.
5. Reserves Calculation. The average grade calculation. Geometric methods. Geostatistical methods.
6. Geostatistic modeling.

Learning Outcomes

Discipline objectives
General Objectives:
The pupil will have to be capable to dominate the most recent geostatistics techniques of data interpretation.
The goals set for this course are in line with the syllabus. Thus, the program contents are intended to enable the student to interpret data and to conduct geostatistical analysis with a view to application in the wide field of Geosciences, as well as using methods of design and implementation of exploratory data experience and use most appropriate valuation technique to mineral resources on specific cases. Students should also be able to integrate the knowledge to develop solutions and make value judgments in mineral resource projects evaluation and make consistent projects with their level of knowledge and understanding, working in cooperation with engineers in computational modeling methods and engineering processes.