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Ανάπτυξη μεθοδολογίας τρισδιάστατης προσομοίωσης της διάδοσης των σεισμικών κυμάτων. Εφαρμογή στην παρακολούθηση της γεωλογικής αποθήκευσης του CO2 με τη σεισμική ανάκλαση

Brintakis Ioannis

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Summary

Accurate and realistic three dimensions (3D) wave equation modeling is becoming increasingly important as 3D data collected. A 3D world requires a 3D solution. So, the subject of the Diploma Thesis was the creation of a three-dimensional simulator algorithm, in order to simulate a three-dimensional geological model of carbon dioxide storage. The methodology was followed through the Finite Differences and more specific the MacCormack scheme.The Finite Difference Method is one of the most important numerical methods in geoscience simulations. This is happened due to the fact that these methods are easily adaptable to complex problems with high precision and computationally efficient.The implementation of these algorithms was done in the Matlab program, as well as simulations of the three-dimensional model. The correctness of the algorithms, is based on the comparison of the arithmetic with analytical solution, in a homogeneous model.Then, two different models, with two and three geological layers were simulated. Vertical times was calculated and correlated with the results of the traces. Finally, was simulated a three-dimensional geological model of Prinos Unit, with Carbon Dioxide (CO2) storage into the reservoir layer A1. To verify the simulation results were compared with the results of the two-dimensional simulation, and the matching of the traces from the directed and the reflected waves.Based on the results, it is concluded that the Finite Difference methods are extremely easy to use and can respond quickly and with great precision to complex geological models.In addition, the results of the algorithms in a three-dimensional medium are true because of, their solutions have been verified. In the simulation of the 3D geological model of CO2 storage the results are similar and comparable to the results of two-dimensional simulation. So, it is believed that the results of the simulation are reliable, but there are several improvements in the overall structure of the algorithms.

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