Wednesday, February 11, 2009

Short Course on Applied Mining Geostatistics


Venue: Jayakarta Hotel Bandung, April 6 – 9, 2009

Prepared by:
Research Group of Earth Resources Exploration
Faculty of Mining and Petroleum Engineering
Institut Teknologi Bandung (ITB)


1. Introduction
Since geostatistics developed by Prof. George Matheron in 1960, it has been applied greatly in mining industry for mineral resources evaluation and reserves modeling. Geostatistical method considers the spatial structure which is represented by variogram model in estimation. Therefore it is leading compared to the conventional reserves estimation methods such as polygonal, triangular grouping, inverse distance square, nearest point, etc. Moreover, parameters of variogram model can be drawn on to optimize the drilling pattern or the influence area of sampling points.
Kriging is the most famous geostatistical method used for reserves estimation, and it has been known as BLUE (best linear unbiased estimator). Kriging variance can be applied to assess the uncertainty (error) of estimation result.
Beside kriging, there are any other geostatistical methods employed for spatial characterization and modeling of natural resources such as conditional simulation and multivariate geostatistics. Geostatistics can also be utilizing to evaluate mineral reserves classification.

2. Aims
The aims of this course are:
1. To give knowledge about the concept of regionalized variable that is the principle of geostatistics method, analysis and interpretation of variogram.
2. To give understanding about the principle of kriging method and its application for resources modeling and reserves estimation.
3. To give introduction about the principle of geostatistical simulation, uncertainty analysis, multivariate geostatistics, and their application in natural resources evaluation.

3. Course Subjects
The course subjects are including:
1. Review of statistics, concept of regionalized variable, concept of experimental variogram, analysis of variogram model and its interpretation.
2. Conventional reserves estimation methods.
3. Variance of dispersion and variance of estimation.
4. Principle of kriging method and its application.
5. Introduction about deterministic method, geostatistical simulation, uncertainty analysis, multivariate geostatistics, reserves classification based on geostatistical method.

4. Schedule
The course will be conducted for 32 hours (4 days) with detail subjects as below:

Day 1
1. Review of statistics: 2 hours
2. Conventional reserves estimation methods: 4 hours
3. Concept of regionalized variable and calculation of experimental variogram: 2 hours

Day 2
1. Analysis and interpretation of variogram: 2 hours
2. Exercise and practice of variogram calculation and fitting model: 2 hours
3. Concept of variance of dispersion: 2 hours
4. Concept of variance of estimation: 2 hours

Day 3
1. Principle of kriging method and its application for reserve estimation: 4 hours
2. Exercise and practice of kriging method: 2 hours
3. Introduction on deterministic method for mineral deposit assessment: 2 hours

Day 4
1. Introduction on geostatistical simulation: 2 hours
2. Uncertainty analysis based on kriging variance and conditional simulation: 2 hours
3. Introduction on multivariate geostatistics and its application: 2 hours
4. Optimization of drilling pattern and reserves classification based on geostatistical method: 2 hours

5. Instructors
The instructors of course are:

Mohamad Nur Heriawan, ST., MT., Ph.D whose educational background are Bachelor of Engineering in Mining Engineering (ITB, 1998), Master of Engineering in Applied Geophysics (ITB, 2000), Postgraduate Diploma in Mine Geostatistics (Ecole des Mines de Paris, France, 2003), and Doctor of Philosophy in Geostatistics and Geomodeling (Kumamoto University, Japan, 2007). At present he is Assistant Professor at Department of Mining Engineering, Faculty of Mining and Petroleum Engineering of ITB. He also is member of International Association for Mathematical Geology (IAMG).

Dr. Ir. Lilik Eko Widodo, MS. whose educational background are Bachelor of Engineering in Civil Engineering (ITB, 1987), Master of Science in Geotechnics (ITB, 1992), and Doctor Degree in Numerical Modeling of Hydrogeology (RWTH Aachen, Germany, 1998). At present he is Assistant Professor at Department of Mining Engineering, Faculty of Mining and Petroleum Engineering of ITB.

Dr.Eng. Syafrizal, ST., MT. whose educational background are Bachelor of Engineering in Mining Engineering (ITB, 1996), Master of Engineering in Mining Engineering (ITB, 2000), and Doctor of Engineering in Genetic Modeling of Mineral Deposits (Kyushu University, Japan, 2006). At present he is Assistant Professor at Department of Mining Engineering, Faculty of Mining and Petroleum Engineering of ITB.

6. Facilities and Others
Participants are required to bring their own notebook computer for exercising and practicing. They will be provided with geostatistical public domain software named SGeMS (Stanford Geostatistical Modeling Software). Participants will also get course’s hand out, certificate, seminar kit, lunch and coffee break.

7. Who Should Attend
Mine engineers, geophysicists, geologist, geosciences, and everybody or professional who want better understanding and to broaden the knowledge from the course subjects.

8. Registration Fee
The registration fee is Rp. 6.000.000,- per participant. Payment is required with registration and should be fully paid and transferred to:
Bank BNI ITB, Bandung
Account No.: 0119581004 (Rian Andriansyah)

9. Contact Persons
For registration and further information please contact:
Mr. Rian Andriansyah or Mrs. Susi Sundari
Phone: 022-2502239, 022-2508131
Fax: 022-2504209
E-mail: rian@mining.itb.ac.id or susi@mining.itb.ac.id

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