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Automated Fault Detection and Extraction under Gas Chimneys Using Hybrid Discontinuity Attributes

3D-seismic data have increasingly shifted seismic interpretation work from a horizons-based to a volume-based focus over the past decade. The size of the identification and mapping work has therefore become difficult and requires faster and better tools. Faults, for instance, are one of the most sig...

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Principais autores: Qazi Sohail Imran, Numair A. Siddiqui, Abdul Halim Abdul Latiff, Yasir Bashir, Muhammad Khan, Kamran Qureshi, Abd Al-Salam Al-Masgari, Nisar Ahmed, Muhammad Jamil
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2021-08-01
coleção:Applied Sciences
Assuntos:
fault detection
automatic fault extraction
hybrid attributes
semblance
structure-oriented semblance
fault-oriented semblance
Acesso em linha:https://www.mdpi.com/2076-3417/11/16/7218
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