Lecturers: Amilcar Soares(CERENA, IST – Lisbon University), Leonardo Azevedo (CERENA,

IST – Lisbon University)

Course Description:

The cost of information in environmental studies – soil samples, drilling bore holes, well log data, air quality monitoring – usually results in a lack of data and consequently in loss of quality of the proposed models. The use of different data in a same modelling framework is one of the most important challenges in environmental geostatistics. This short course intends to give the most recent advances in geostatistical integration of different data in the same model of spatial or space-time characterization of main properties of a physical phenomema.  Different spatial support soil samples, different types of data –electromagnetic survey and bore-hole data- for contaminated site characterization, data from deterministic models, remote sensing data with different spatial and spectral resolutions, are examples of data which can be integrated through inverse modeling or simulation with different support data. The topics will be illustrated with real case studies.

• Stochastic Simulation with different spatial support and uncertain data
  • Different Spatial Support Data Integration for soil quality characterization.
  • Integration of uncertain data for soil quality characterization.

• Inverse Models to integrate Geophysical Information.
  • Electro-magnetic data integration for contaminated sites characterization.
  • Seismic Inversion for subsurface geological and petrophysical properties modeling.

• Hybrid Models: Deterministic dispersion models and stochastic models for environmental applications
  • Hybrid Models for air quality characterization in industrial areas.
  • Hybrid Models for characterization of contaminated sediments in a coastal lagoon.

• Dynamic data integration and Uncertainty Assessment.
  • Characterization of main properties of an aquifer by integrating the dynamic data.

Short bios

Amilcar Soares is a Full Professor Técnico/U.Lisboa. He is responsible for the Mining and Petroleum section of Civil and Georesources Department. He runs the Petroleum and Mining group of research center CERENA (Center of Natural Resources and Environment) with an extensive curriculum in applied research and project management. He has over 20 years of experience as consultant in mining industry. He has more than 100 publications.

Leonardo Azevedo is an assistant Professor at the Department of Civil Engineering, Architecture and  Georesources and a member of CERENA. He received is BS in Geological Engineering in 2007 and MS. on Marine Geology and Geophysics in 2009 both from U. Aveiro. Concluded his PhD in 2013 with the development of novel geostatistical methodologies for geophysical data integration into subsurface Earth modelling at Técnico (U. Lisboa) with collaboration with Stanford (US) and Heriot-Watt Universities (UK). Currently his main research interest are related with seismic reservoir characterization (geostatistical seismic inversion), data integration into hydrocarbon reservoir modeling and uncertainty assessment. His recent research was distinguished with one of the best presentation at the Society of Exploration Geophysicists Annual Meeting (2015).Leonardo’s research is focused in real problems from the industry and is developed in straight collaboration with the main national and international oil companies. He also has industry experience after three-short term contracts with Schlumberger, Repsol and CGG.

Lecturers: José António de Almeida (FCT – NOVA University of Lisbon), Sofia Barbosa (FCT – NOVA University of Lisbon); Ruben Nunes (CERENA, IST – Lisbon University)

The main objective of this course is to give an overview of the main geostatistical state-of-the-art concepts routinely applied in environmental sciences. The key topics covered will include:

Random variables. Characterization of the spatial structure of a variable. Experimental variograms and covariances. Variogram analysis. Anisotropy. Variogram modelling and theoretical functions. Linear estimation. Ordinary kriging. The kriging variance. Validation procedures. Underestimation and overestimation. The indicator approach.

Short Bios:

José António Almeida is Associate Professor of the Earth Sciences Department (FCT-UNL), and local Coordinator of the GeoBioTec.NOVA Research Centre. He has a degree in mining engineering and a PhD with specialization in oil reservoir characterization. His career began at the Technical University of Lisbon, where he was involved in research projects and company contracts concerning the characterization of oil fields, the evaluation of contaminants, and the assessment of mining reserves. In 2001 he joined FCT-UNL as Assistant Professor. Since then, he has developed and coordinated a number of research projects and contracts with companies and supervised MSc and PhD students. He has over 25 years experience in research and teaching, specializing in the areas of geological modelling and the characterization of resources. He has been at the forefront of innovative geostatistical models and applications and has published extensively in the form of scientific papers, congress proceedings, and book chapters. Much of his recent research has been concerned with the parallelization of algorithms, simulation, and object-based geological modelling.

Sofia Barbosa is Full-time Assistant Professor at NOVA (FCT-UNL) with more than 15 years of experience on old mine environmental rehabilitation and reclamation design and field works, characterization studies and monitoring. She is interested in groundwater modelling, hydrogeology of fractured rocks, geostatistics and geomathematical modelling. She holds a Master in Geological Resources and a PhD in Geological Engineer.

Ruben Nunes completed his Master in Georesources at Universidade Nova de Lisboa in 2008 . Currently he is a Phd Candidate of the Georesources Doctoral Programme at Instituto Superior Técnico.  He  is a Teaching Assistant in Oil and Gas, Geostatistics, and Reservoir Modelling courses. His work focuses on geostatistics and geophysical data integration for hydrocarbons reservoir characterization, but he has also worked with geostatistics for mining and environmental applications. Other research interests include high performance computing and machine learning in the geosciences.

From Lisbon Airport (Portela) to Parque das Nações is a 10 minutes’ drive. Lisbon Airport is very close to the city centre – it is located 7km from the centre – and there are different alternatives to get there, namely by Metro to Aerobus, city bus Carris or by taxi. If you choose the metro to go from the airport straight to Parque das Nações, you have the red line (linha vermelha) and you should exit in Oriente station (3rd stop). It takes around 3 minuts and costs €1,40 plus €0,50 for the “viva viagem” rechargeable card.

Taxis allow you to arrive in Parque das Nações from any point in the city, but of course the tarif also increases according to the distance, traffic and day time. An airport- Parque das Nações trip is around 5 EUR. Taxis might charge a supplement of approx. 1,60€ for luggage and are more expensive on weekends and nights.

Taxis allow you to arrive in Parque das Nações from any point in the city, but of course the tarif also increases according to the distance, traffic and day time. An airport- Parque das Nações trip is around 5 EUR. Taxis might charge a supplement of approx. 1,60€ for luggage and are more expensive on weekends and nights.

For further information visit the Carris bus company website.

If you choose the metro to go from the airport straight to Parque das Nações, you have the red line (linha vermelha) and you should exit in Oriente station (3rd stop). It takes around 3 minuts and costs €1,40 plus €0,50 for the “viva viagem” rechargeable card.

Gare do Oriente Train Station. The Gare do Oriente is a major train, bus and metro station located in eastern Lisbon that provides travel connections to the whole of Portugal.

There is paid parking nearby.