[图书][B] Handbook of energy transitions

M Asif - 2022 - api.taylorfrancis.com
The global energy scenario is undergoing an unprecedented transition. In the wake of
enormous challenges, such as increased population, higher energy demands, increasing …

Analysis of Neural Network Architectures for Semantic Segmentation of Seismic Data

GD Figueiredo da Silva, JT Dias… - Science and Information …, 2023 - Springer
With the advancement of technology, the characterization of oil reservoirs has become more
accurate, and its complexity has increased, mainly with the acquisition of tridimensional (3D) …

Machine Learning Applications in the Petroleum Industry

AA Mahmoud, S Elkatatny… - Handbook of Energy …, 2022 - taylorfrancis.com
Machine learning tools have been used in different engineering-related aspects and the
energy sector is no exception. This chapter focuses on summarizing the applications of …

A review on smart platform and application analytics managing big data of oil and gas

Y Zeng, L Wang, G Shi, Z Zhi - International Journal of …, 2022 - inderscienceonline.com
In exploring and monitoring of the oil and gas industry data, extensive analysis of artificial
intelligence (AI) methods can play a vital role in enhancing and optimising the application of …

Redes neurais convolucionais como ferramenta de interpolação de dados sísmicos

MF Salgado - 2022 - teses.usp.br
Redes neurais convolucionais estão com uso crescente na geofísica, destacadamente no
imageamento sísmico. As aplicações variam desde classificação de fácies, segmentação …

[PDF][PDF] Análise de Arquiteturas de Redes Neurais Para Segmentação Semântica de Dados Sísmicos

G Silva, J Dias, L Falleti - biblioteca.sbrt.org.br
Com o avanço da tecnologia, a caracterização dos reservatórios petrolíferos tem se tornado
mais precisa e com isso aumentado sua complexidade, principalmente, com a obtenção de …