Work

Attempt of Early Stuck Detection Using Unsupervised Deep Learning With Probability Mixture Model

Year: 2021

Type: conference-paper

Source: International Conference on Offshore Mechanics and Arctic Engineering (OMAE)

DOI: 10.1115/omae2021-62739

Authors: Tomoya Inoue, Yujin Nakagawa, Ryota Wada, Keisuke Miyoshi, Shungo Abe, Kouhei Kuroda, Hitoshi Tamamura, Hakan Bilen

Institutions: Japan Agency for Marine-Earth Science and Technology, The University of Tokyo, Japan Organization for Metals and Energy Security (Japan), Japan Petroleum Exploration Co., Ltd. (Japan), Inpex (Japan), University of Edinburgh

Language: English

Topic: Drilling and Well Engineering

Subfield: Fuel Technology

Field: Energy

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3207968477

FWCI: 3.36

Cites:

Cited by: 7

Related to: 10