Proceedings of the Workshop on Data Mining for Geophysics and Geology
Youzuo Lin, Weichang Li, Alipio Jorge, Rui L. Lopes, German, Larrazabal, Pablo Guillen

TL;DR
This paper discusses the application of data mining techniques to large and diverse geoscience datasets, emphasizing their importance in energy, earth sciences, and sustainability, and highlighting recent advances enabled by modern computing.
Contribution
It provides an overview of data mining applications in geophysics and geology, focusing on handling large-scale, heterogeneous data for improved decision-making and efficiency.
Findings
Data volumes in geosciences are rapidly increasing, reaching terabytes per day.
Modern data collection enables real-time analysis, enhancing operational efficiency.
Data mining can significantly improve exploration and production processes.
Abstract
Modern geosciences have to deal with large quantities and a wide variety of data, including 2-D, 3-D and 4-D seismic surveys, well logs generated by sensors, detailed lithological records, satellite images and meteorological records. These data serve important industries, such as the exploration of mineral deposits and the production of energy (Oil and Gas, Geothermal, Wind, Hydroelectric), are important in the study of the earth crust to reduce the impact of earthquakes, in land use planning, and have a fundamental role in sustainability. The volume of raw data being stored by different earth science archives today makes it impossible to rely on manual examination by scientists. The data volumes resultant of different sources, from terrestrial or aerial to satellite surveys, will reach a terabyte per day by the time all the planned satellites are flown. In particular, the oil…
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Taxonomy
TopicsAdvanced Computational Techniques and Applications · Geochemistry and Geologic Mapping
