An intelligent model for early kick detection based on cost-sensitive learning

Gas leakage detection using spatial and temporal neural network model

(2022) Alibek Kopbayev et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Inversion-based model for quantitative interpretation by a dual-measurement points in managed pressure drilling

(2022) Miao He et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

An accident causation network for quantitative risk assessment of deepwater drilling

(2021) Xiangkun Meng et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)

(2021) Farzana Anowar et al.   Computer Science Review

Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula

(2021) Md. Tanjin Amin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification

(2021) Ming Zheng et al.   INFORMATION SCIENCES

A deep learning model for process fault prognosis

(2021) Rajeevan Arunthavanathan et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Early Gas Kick Detection in Vertical Wells via Transient Multiphase Flow Modelling: A Review

(2020) Ahmad K. Sleiti et al.   Journal of Natural Gas Science and Engineering

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

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

Evolutionary Optimization of Ensemble Learning to Determine Sentiment Polarity in an Unbalanced Multiclass Corpus

(2020) Consuelo V. García-Mendoza et al.   Entropy

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

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

A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network

(2020) Augustine Osarogiagbon et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm

(2020) Qishuai Yin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations

(2020) Augustine Uhunoma Osarogiagbon et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Operational risk analysis of blowout scenario in offshore drilling operation

(2020) Kun Chen et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning

(2019) Qifa Xu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Generative Adversarial Networks for Hyperspectral Image Classification

(2018) Lin Zhu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Big Data Analysis for Monitoring of Kick Formation in Complex Underwater Drilling Projects

(2018) Haiyan Xie et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

A quantitative risk analysis model considering uncertain information

(2018) Rui He et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Heterogeneous fault prediction with cost-sensitive domain adaptation

(2018) Zhiqiang Li et al.   SOFTWARE TESTING VERIFICATION & RELIABILITY

Kick tolerance calculations for drilling operations

(2018) Tuna Eren   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Time series data analysis for automatic flow influx detection during drilling

(2018) Hewei Tang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Data-Driven Monitoring and Safety Control of Industrial Cyber-Physical Systems: Basics and Beyond

(2018) Yuchen Jiang et al.   IEEE Access

Dynamic risk analysis of hydrogen sulfide leakage for offshore natural gas wells in MPD phases

(2018) Shengnan Wu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A framework for developing leading indicators for offshore drillwell blowout incidents

(2017) Nafiz Tamim et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Real time risk analysis of kick detection: Testing and validation

(2017) Rakibul Islam et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An improved method to construct basic probability assignment based on the confusion matrix for classification problem

(2016) Xinyang Deng et al.   INFORMATION SCIENCES

Monitoring of down-hole parameters for early kick detection

(2016) Ayesha Arjumand Nayeem et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Development of an integrated tool for risk analysis of drilling operations

(2016) Majeed Abimbola et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Well specific oil discharge risk assessment by a dynamic blowout simulation tool

(2016) Ruochen Liu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Next-Generation Kick Detection During Connections: Influx Detection at Pumps Stop (IDAPS) Software

(2016) Brian A. Tarr et al.   SPE DRILLING & COMPLETION

Development and testing of kick detection system at mud line in deepwater drilling

(2015) Jianhong Fu et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Risk assessment of rare events

(2015) Ming Yang et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Early kick detection and well control decision-making for managed pressure drilling automation

(2015) Ali Karimi Vajargah et al.   Journal of Natural Gas Science and Engineering

Cost-Sensitive Subspace Analysis and Extensions for Face Recognition

(2013) Jiwen Lu et al.   IEEE Transactions on Information Forensics and Security

Quantitative risk analysis of offshore drilling operations: A Bayesian approach

(2013) Nima Khakzad et al.   SAFETY SCIENCE

Test-cost-sensitive attribute reduction

(2011) Fan Min et al.   INFORMATION SCIENCES