| 1 |
Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations
Osarogiagbon AU, Khan F, Venkatesan R, Gillard P
Process Safety and Environmental Protection, 147, 367, 2021 |
| 2 |
Ranking the occupational incident contributory factors: A Bayesian network model for the petroleum industry
Naghavi-Konjin Z, Mortazavi SB, Asilian-Mahabadi H, Hajizadeh E
Process Safety and Environmental Protection, 137, 352, 2020 |
| 3 |
Building safety in the offshore petroleum industry: Development of risk-based major hazard risk indicators at a national level
Zhen XW, Vinnem JE, Naess S
Process Safety and Environmental Protection, 128, 295, 2019 |
| 4 |
Evaluation and Application of a Cement-Based Blocking Agent in Oil Reservoirs
Zhong HY, Sun GJ, Jia JF, Zhou XN
Chemistry and Technology of Fuels and Oils, 53(6), 956, 2018 |
| 5 |
Continuous-time scheduling formulation for straight pipelines
Mostafaei H, Castro PM
AIChE Journal, 63(6), 1923, 2017 |
| 6 |
The diffusion of patented oil and gas technology with environmental uses: A forward patent citation analysis
Duch-Brown N, Costa-Campi MT
Energy Policy, 83, 267, 2015 |
| 7 |
Thermodynamic analysis and performance optimization of an ORC (Organic Rankine Cycle) system for multi-strand waste heat sources in petroleum refining industry
Song J, Li Y, Gu CW, Zhang L
Energy, 71, 673, 2014 |
| 8 |
Review of ASP EOR (alkaline surfactant polymer enhanced oil recovery) technology in the petroleum industry: Prospects and challenges
Olajire AA
Energy, 77, 963, 2014 |
| 9 |
Electrochemical treatment of effluents from petroleum industry using a Ti/RuO2 anode
Santos ID, Dezotti M, Dutra AJB
Chemical Engineering Journal, 226, 293, 2013 |
| 10 |
Recent development in the treatment of oily sludge from petroleum industry: A review
Hu GJ, Li JB, Zeng GM
Journal of Hazardous Materials, 261, 470, 2013 |
