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Third Specialized Short Course in Granada, Spain

Data Analysis and Pattern Recognition

The IMPROVE course on “Data Analysis and Pattern
Recognition” was held from January 24 to 26, 2024, in Granada,
Spain, and was organized by Professor María del Carmen
Benitez at the University of Granada.
The main goal of the course was to introduce students to the
fundamental concepts of Data Analysis and Pattern
Recognition, techniques that are crucial for analyzing the
massive amounts of data collected from volcano monitoring
system and for identifying potential sensor problems or
malfunctions.
The course was attended by 17 students, including 5 Early Stage
Researchers from the IMPROVE project. The other 12 students
came from various high-level European research institutions.

Gabriel Girela Arjona

Visiting the city of Granada is always a huge pleasure, especially if you are accompanying its rich history, culture and stunning architecture with
some machine learning and data analysis. Despite having no prior background in these topics, the course was structured in a way that made
complex concepts accessible and easy to grasp – special mention to Joe's exercise (Note: Joseph Carthy, IMPROVE Early Stage researcher)
and the muffins he gave us as a reward for fulfilling it! On top of that, learning what other people work on at different institutions is always
exciting and inspiring. Having the chance to learn new skills directly from where they are being developed, reuniting with some of the other ESRs
and meeting new people will always be, personally, the best thing of being part of IMPROVE.

Fifth Specialized Short Course in Munich, Germany

Petrophysical Properties

The Fifth Specialized Short Course on “Petrophysical
Properties: From the Laboratory to the Field and Modelling” was
held at Ludwig-Maximilians University in Munich, Germany, from
April 8 to 10, 2024. The course was organized by Professor
Bettina Scheu, Dr. Jackie Kendrick, and Dr. Anthony Lamur, who
also conducted the lectures, laboratory tours, and hands-
on practice.
Participants were introduced to theoretical concepts and
various techniques for characterizing petrophysical properties
both in the field and in the lab. Further lectures comprised
scaling aspects from lab to field, and the complementarity of
petrophysical knowledge with geophysical data and models.
During the practical sessions, participants were trained in both
field and lab techniques to measure and/or calculate various
petrophysical properties, such as bulk density, connected
porosity, and permeability, using a set of Krafla rock samples.
Later the participants analyzed and discussed different
methods to deepen further their understanding of individual
benefits and shortcomings, as well as associated precision, of
the individual techniques, and of their usage.
A total of 13 students participated in the course: 8 Early Stage Researchers (ESRs) from the IMPROVE project and 5 external
participants from LMU Munich.

Ana Martinez Garcia

Our time at the Petrophysical Properties short course in Munich was an incredibly enriching experience! The course covered various rock and
reservoir characterization topics, focusing on modern techniques for collecting and analyzing petrophysical data in field and laboratory
environments. I greatly appreciated the balance between theory and hands-on practice, including the chance to use several instruments.
Working closely with the other ESRs in the laboratory; and Munich, with its rich culture and fantastic places to explore; both offered us a great
and completely different perspective compared to the fieldwork.