FTCN: A Reservoir Parameter Prediction Method Based on a Fusional Temporal Convolutional Network

Predicting reservoir parameters accurately is of great significance in petroleum exploration and development. In this paper, we propose a reservoir parameter prediction method named a fusional temporal convolutional network (FTCN). Specifically, we first analyze the relationship between logging curv...

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Bibliographic Details
Main Authors: Hongxia Zhang, Kaijie Fu, Zhihao Lv, Zhe Wang, Jiqiang Shi, Huawei Yu, Xinmin Ge
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/15/5680