Mineral resource modelling and estimation
BASIC DATA
course listing
A - main register
course code
NGG0319
course title in Estonian
Maapõueressursside mudeldamine ja varuarvutused
course title in English
Mineral resource modelling and estimation
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Graded assessment
teaching semester
autumn - spring
language of instruction
Estonian
English
Prerequisite(s)
Study programmes that contain the course
code of the study programme version
course compulsory
no
Structural units teaching the course
LG - Department of Geology
Timetable link
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Anda teadmised ja praktilised oskused maavara leiukohtade geoloogiliste mudelite koostamiseks ja maavara varude arvutamiseks.
course aims in English
Give knowledge and develop practical skill for mineral resource modelling and resource estimation.
learning outcomes in the course in Est.
Aine läbinud üliõpilane:
• Oskab hinnata geoloogiliste lähteandmete esinduslikkust ja usaldusväärsust;
• Oskab erialatarkavara abil koostada maavaralasundite geoloogilisi mudeleid;
• Valib sobivaimad interpoleerimisvõtteid lähtuvalt modelleeritavat objektist ;
• Tunneb põhilisi geostatistika võtteid maavara uuringul;
• Oskab erialatarkavara abil teha maavarade varude arvutusi ja hinnata seotud määramatusi;
• Raporteerib saadud tulemusi vastavalt JORC koodeksile.
• Oskab hinnata geoloogiliste lähteandmete esinduslikkust ja usaldusväärsust;
• Oskab erialatarkavara abil koostada maavaralasundite geoloogilisi mudeleid;
• Valib sobivaimad interpoleerimisvõtteid lähtuvalt modelleeritavat objektist ;
• Tunneb põhilisi geostatistika võtteid maavara uuringul;
• Oskab erialatarkavara abil teha maavarade varude arvutusi ja hinnata seotud määramatusi;
• Raporteerib saadud tulemusi vastavalt JORC koodeksile.
learning outcomes in the course in Eng.
Upon completing the course student:
• Estimates quality of primary exploration datasets;
• Creates resource models from exploration datasets using; appropriate software tools and various estimation techniques;
• Knows drawbacks of various estimation methods;
• Report resources using the JORC code.
• Estimates quality of primary exploration datasets;
• Creates resource models from exploration datasets using; appropriate software tools and various estimation techniques;
• Knows drawbacks of various estimation methods;
• Report resources using the JORC code.
brief description of the course in Estonian
Geoloogiline baasinfo. GIS ja spetsiaalsed tarkvararakendused maavara varu arvutusteks. Geoloogilise andmebaasi koostamine. Maavaralasundite geoloogilise ruumimudeli koostamine. Erinevad interpoleerimismeetodid. Plokkmudelid varuhinnanguteks. Andmete statistiline ja geostatistiline analüüs. Varuarvutuste tulemuste raporteerimine.
brief description of the course in English
Assessment of the primary data. GIS applications and dedicated software tools for resource modelling. Database development. Generation of geological model of the deposit. Different interpolation methods for modelling. Block models for resource estimations. Statistical and geostatistical analyses of data. Assessment of uncertainty in resource estimations. Classification and reporting of exploration results.
type of assessment in Estonian
-
type of assessment in English
-
independent study in Estonian
Praktilised ülesanded erialase tarkvaraga; õppekirjanduse kasutamine.
independent study in English
Using dedicated software tools for practical exercises; using textbooks.
study literature
Rossi, M., Deutsch, C., 2014. Mineral Resource Estimation. Springer, lk 332.
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
1.0
lectures
-
practices
3.0
practices
-
exercises
0.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2025/2026 autumn