Synthesis of geological, technical, economic and other information related to the
geological system under study for the creation of a unified numerical model. Basic
principles of stochastic simulation.
Correlation and consolidation of heterogeneous data: covariogram and the linear
model of coregionalization for several random variables. Use of categorical variables
for the description of lithofacies: indicators and categorical variables, kriging and
cokriging with indicators. Development of lithofacies models using Plurigaussian
simulation, incorporation of geological rules for simulation variables.
Introduction to the inverse problem. Methods for solving linear inverse problems in
the geosciences. Nonlinear inverse problems and solving methods (McMC, Iterative
Algorithms). The inverse problem as an optimization problem. Likelihood function of
the parameters of the geological model, spatiotemporal configuration (history
matching).
Case studies: Use of acoustic resistance seismic measurements as additional
information to improve the knowledge of porosity from borehole sampling. Reservoir
volumetrics using data from boreholes related to the depth of the roof and its
thickness, assisted by seismic measurements after velocity processing. Determination
of the spatial distribution of lithofacies of a simulated aquifer based on its response to
pumping conditions.
- Teacher: Κωνσταντίνος Μόδης
ECTS : 4
Language : el, en
Learning Outcomes : • Has become familiar with the use of categorical variables for describing geological phases. • Has understood the concept and use of Geological Rules for 3D visualization of geological phases. • Uses specialized software for developing numerical geological models using the multigussian simulation technique. • Knows the possibility of further improving the accuracy of the model by incorporating information related to the system s response to external tests such as pumping tests, water injection tests, etc.