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Maximum Likelihood Inversion (Mli) And Multi-Attribute Neuronal Facies Classification For Coal-Seam Detection, Alpu, Eskişehir
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 9th Congress of the Balkan Geophysical Society, Nov 2017, Volume 2017, p.1 - 5
Abstract
Summary
The quantitative interpretation analysis reveal the distribution and the orientation of coal-seam packages away from the well locations within the limit of 2D lines in Alpu, Eskişehir. The results may help determine the future appraisal well locations and the production while they decrease the risk of mining hazards. The results obtained from the inversion of seismic reflection data encourage for a future 3D seismic data acquisition to understand the coal-seam system better.
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