A Novel Method of Deep Learning for Shear Velocity Prediction in a Tight Sandstone Reservoir

Shear velocity is an important parameter in pre-stack seismic reservoir description. However, in the real study, the high cost of array acoustic logging leads to lacking a shear velocity curve. Thus, it is crucial to use conventional well-logging data to predict shear velocity. The shear velocity pr...

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Egile Nagusiak:	Ren Jiang, Zhifeng Ji, Wuling Mo, Suhua Wang, Mingjun Zhang, Wei Yin, Zhen Wang, Yaping Lin, Xueke Wang, Umar Ashraf
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-09-01
Saila:	Energies
Gaiak:	shear velocity prediction tight sandstone deep learning rock physics modeling deep feed neuro network Sichuan Basin
Sarrera elektronikoa:	https://www.mdpi.com/1996-1073/15/19/7016
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