Application of a Pre-Trained CNN Model for Fault Interpretation in the Structurally Complex Browse Basin, Australia

Fault detection is an important step in subsurface interpretation and reservoir characterization from 3D seismic images. Due to the numerous and complex fault structures in seismic images, manual seismic interpretation is time-consuming and requires intensive work. We applied a pre-trained CNN model...

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Egile Nagusiak:	Md Mahmodul Islam, Ismailalwali Babikir, Mohamed Elsaadany, Sami Elkurdy, Numair A. Siddiqui, Oluwaseun Daniel Akinyemi
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2023-10-01
Saila:	Applied Sciences
Gaiak:	fault detection reservoir characterization seismic images convolutional neural network variance attribute
Sarrera elektronikoa:	https://www.mdpi.com/2076-3417/13/20/11300
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