Downhole quantitative evaluation of gas kick during deepwater drilling with deep learning using pilot-scale rig data

Machine Learning for Deepwater Drilling: Gas-Kick-Alarm Classification Using Pilot-Scale Rig Data with Combined Surface-Riser-Downhole Monitoring

(2021) Qishuai Yin et al.   SPE JOURNAL

A gradient boosting decision tree algorithm combining synthetic minority over-sampling technique for lithology identification

(2020) Kaibo Zhou et al.   GEOPHYSICS

Missing well log prediction using convolutional long short-term memory network

(2020) Nam Pham et al.   GEOPHYSICS

Data-driven Bayesian network model for early kick detection in industrial drilling process

(2020) Dinh Minh Nhat et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Drilling performance improvement in offshore batch wells based on rig state classification using machine learning

(2020) Qishuai Yin et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Supervised data-driven approach to early kick detection during drilling operation

(2020) Somadina Muojeke et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Kick control reliability analysis of managed pressure drilling operation

(2018) Idris Sule et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network

(2018) Xin Wu et al.   GEOPHYSICS

Deep learning

(2015) Yann LeCun et al.   NATURE

An innovative neural forecast of cumulative oil production from a petroleum reservoir employing higher-order neural networks (HONNs)

(2013) N. Chithra Chakra et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING