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ATHENS - MP18 - Geointelligence for Natural Resources Evaluation and Sustainable Management

Sigle: MP4024, ECTS: 2

Objectifs du cours

This course provides an introduction to the problems of knowledge extraction and multi-criterion decisions based on available satellite imagery, digital maps and open sources on the net (with an emphasis on data gathered with virtual globes : Google Earth, ...). It is particularly focused on practical applications to the sustainable management of renewable natural resources and their political, environmental and economic evaluation (oil & gas and mining investments, water resources, agri-business and environmental problems). Based on a real oil exploration case in Chad with strong political, economic and environmental issues, the course offers a mix of teaching sessions (offering basics on the various techniques involved), presentations of the case by thematic experts (petroleum geologist, cartographer, geographer, journalist, banker, lender, environmental risk expert, NGO representative...) and labs (practical) including hands-on initiation to remote sensing, data integration techniques, resource economic evaluation, environmental accounting and multicriteria mediated decisions. The course is given in English.
The course has various goals :
· First, to open the minds of participants to the many facets of geospatial data (with a particular focus on earth observation from space) and how to use them in decision processes using the wealth of information available on the web ;
· Second, to develop a practical experience in ways of extracting useful knowledge regarding natural resources management using on-line software collaborative techniques;
· Last, to understand the complexity of resources evaluation and project decisions and the mediation of different views using multicriteria decision analysis, especially in decisions where there is no "easy" solution to balance opinions and conflicts between different socio-economical actors (oil companies, governments, financial institutions, NGOs, local citizens).

Course website: http://www.geosint.com/index.php


Basics in statistics. Previous knowledge of statistical decision analysis and basic project economics is appreciated but not required.


Technical lectures : Principles of economic geointelligence - Open source and geospatial information on the net - Remote sensing - Geographic Information management - Petroleum geology and geophysics - From oil finds to full cycle economics - Environmental and pipeline risks - multicriterion decision analysis

Case study lectures : Chad and its neighbours - The Exxon-Chad project - The Chinese oil projects - Future development scenario - Environmental risk and local hydrology - The Darfur crisis context

Case study: Students will have two days of sessions on processing data and solving a practical case in the sustainable development of new oil fields. They will have access to the case history, satellite imagery and a complete geospatial data base. They will have professional software (training versions) for data management and combination and for multi-criterion decision analysis. Students will be organized in project teams, each team providing analysis for one party (western oil company; Chinese oil company; local governments; World Bank; NGOs; ...). At the end during a mediation session, each team will propose its analysis for various development scenarios.

All the teaching material in English is stored on a Web site available ten days before the course.

Modalités d'évaluation

The students are offered a 3 weeks period for finalizing the writing of a short report based on the practical sessions. Notation will be based on course participation, report content and level of understanding of the subject.

Modalités pédagogiques

The daily course programme can be consulted some ten days prior to the course, please see : www.mines-paristech.fr (under the link , Actualités).

Equipe pédagogique


Chargé(s) d'enseignement
Jean-Marie MONGET

Sigle MP4024
Année 2ème & 3ème année
Niveau Graduate 1st year, Graduate 2nd year
Crédits ECTS 2
Coefficient 2
Nb. d'heures 37
Nb. de séances 30
Type de cours Descriptifs complémentaires
Semestre 4, 6
Période Printemps
  • Mathématiques
  • Matériaux
Dernière mise à jour:
20 Jun 2017 11:17 par julien