摘要
当前,全球整个石油行业随着油价下降,面临巨大的生存压力。如何在新形势、新挑战下,降低成本,提高勘探精度,成为这个行业不可避免的问题。由此,本文提出将深度学习应用于石油勘探中,在阐述深度学习理论方法的基础上,探讨石油勘探领域深度学习的关键技术。
At present, the global oil industry as a whole is facing tremendous pressure of survival with the decline ofoil prices. How- to reduce costs and improve exploration accuracy under the new- situation and challenges has becomean unavoidable problem in this industry. Therefore, this paper put forward the application of deep learning in petro-leum exploration. On the basis of expounding the theory and method of deep learning, the key technology of deeplearning in petroleum exploration field was discussed.
作者
王树华
于会臻
陈学国
WANG Shuhua;YU Huizhen;CHEN Xueguo(Exploration and Development Research Institute of Sinopee Shengli Branch,Dongying Shandong 25700)
出处
《河南科技》
2018年第28期22-23,共2页
Henan Science and Technology
关键词
深度学习
石油勘探
样本制作
deep learning
petroleum exploration
sample preparation