Master's Lecture in Geology: A 3D geological static field model of the Krafla geothermal area; constructing a workflow for the Pico Alto geothermal area

Master's Lecture in Geology: A 3D geological static field model of the Krafla geothermal area; constructing a workflow for the Pico Alto geothermal area

When: 
Friday, September 15, 2017 - 11:00
Location: 
Location details: 
N-130

Master's Student: Unnur Þorsteinsdóttir

Title: A 3D geological static field model of the Krafla geothermal area; constructing a workflow for the Pico Alto geothermal area

Abstract

Compiling and summarising multidisciplinary results from geothermal areas
often proves to be a complicated and challenging task. In such tasks, 3D
models facilitate data comparison and enable a better understanding of the
systems involved, resulting in a better and risk mitigated well targeting
processes. This project involves 3D modelling of a geothermal field that has
been exploited for years. The Krafla geothermal field is located in
NE-Iceland and has a long history of research and exploitation. Here, the
Krafla geological static model has been updated using research data that have
not been implemented to the model before. These include recently acquired
seismic data (location of quakes and tomography), 3D resistivity model,
aero-magnetic data and Bouguer and Free-air gravity maps. Borehole data
(cuttings analyses and geophysical logs), which have not been available in
digital format before, have been included. Furthermore, datasets were
compared and cross-correlated through deep structure sub-surface analysis.
Lessons learned throughout the construction of the Krafla model resulted in a
proposed workflow which was then applied to the less known Pico Alto
geothermal area on Terceira Island, Azores. Pico Alto is a promising
geothermal field in its early stages of development. Five production wells
have been drilled and exploration results presented on maps and cross
sections. Here, the existing data were visualised in a 3D model, according to
the workflow, in order to gain a better understanding of the Pico Alto
geothermal field. The two geological static models presented here provide a
useful basis for further research and model workflow applications.

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