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Integrated Geophysics and Machine Learning for Risk Mitigation in Exploration GeosciencesNormal access

Authors: P. Dell'Aversana, B. Ciurlo and S. Colombo
Event name: 80th EAGE Conference and Exhibition 2018
Session: Poster: Integration A
Publication date: 11 June 2018
DOI: 10.3997/2214-4609.201801619
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 901.84Kb )
Price: € 20

Summary:
We discuss how Machine Learning (ML) can support the integration workflow of heterogeneous geophysical data sets in the process of exploration risk evaluation and/or in the process of field appraisal. Data set includes seismic, electromagnetic, gravity and borehole measurements. We combine sequential geophysical modelling and inversion with statistical and automatic classification approaches commonly used in the field of Machine Learning. We applied this “hybrid approach” to two multidisciplinary geophysical data sets recorded in different geological settings, obtaining encouraging results in both cases.


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