Concepedia

An exploration on the machine learning approaches to determine the erosion rates for liquid hydrocarbon transmission pipelines towards safer and cleaner transportations

Guanlan Liu, François Ayello, José Vera, Rick Eckert, Prabhas Bhat

Journal of Cleaner Production · 2021 · 25 citations · 23 references

Concepts

ComputingComputer SciencePetroleum EngineeringFeature EngineeringMachine LearningErosionErosion ProcessesErosion Risk AssessmentLeak DetectionPressure Drop PredictionErosion In PipelinesErosion RatesMachine Learning For Permeability EstimationPhysically Based Erosion ModelsProcess-based Erosion Models

References

23

Fundamentals of Artificial Neural Networks

M.H. Hassoun · Proceedings of the IEEE · 1996 · 1.9K citations

Computing, Computer Science, Artificial Intelligence +9

Safety and security of oil and gas pipeline transportation: A systematic analysis of research trends and future needs using WoS

Chao Chen, Changjun Li, Genserik Reniers et al. · Journal of Cleaner Production · 2020 · 265 citations · Full text

Planning, Petroleum Engineering, Supply Chain Management +17

Fundamentals of artificial neural networks

Maury A. Nussbaum · Journal of Biomechanics · 1996 · 259 citations

Computing, Computer Science, Artificial Intelligence +9

Developing a new fuzzy inference system for pipeline risk assessment

Ali Ashraf Jamshidi, Abdolreza Yazdani–Chamzini, Siamak Haji Yakhchali et al. · Journal of Loss Prevention in the Process Industries · 2012 · 213 citations

Engineering, Petroleum Engineering, Systems Engineering +9

An Alternative to API 14E Erosional Velocity Limits for Sand-Laden Fluids

Mamdouh M. Salama · Journal of Energy Resources Technology · 2000 · 128 citations

Engineering, Civil Engineering, Fluid Dynamics +4