Seismic, Artificial Intelligence to Neural Intelligence for Advanced Interpretation
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-58631-7_252
Reference16 articles.
1. Aminzadeh F, Berge T, Connolly D (2013) Hydrocarbon seepage: from source to surface. SEG/AAPG, Tulsa, USA
2. Chopra S, Marfurt KJ (2007) Seismic attributes for prospect identification and reservoir characterization. SEG, Tulsa
3. Connolly D, De Groot P (2016) Chimney atlas to quantify top seal and charge risk: case study from Maari oil field, Taranaki Basin, New Zealand. In: EAGE 78th EAGE Conference & Exhibition, Vienna
4. Di H, Shafiq MA, AlRegib G (2017) Seismic-fault detection based on multi-attribute support vector machine analysis. In: SEG technical program expanded abstracts, pp 2039–2042
5. Hansen DM, Cartwright JA, Thomas D (2004) 3D seismic analysis of the geometry of igneous sills and sill junction relationships. Geol Soc Lond Mem 29:199–208
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