Research
FLIP’s research covers flow, lift and production data of oil and gas wells from the bottom hole to the surface, in six areas. Experiments, numerical simulation (CFD, OLGA), mechanistic modeling and data-driven methods are combined and cross-validated. Full publication list: Google Scholar.
Wellbore Multiphase Flow Modeling and Liquid-Loading Prediction
Steady-state unified wellbore multiphase flow model and transient drift-flux model for horizontal gas wells; PINN-based fast computation; liquid-loading prediction and critical-velocity model selection.
Details →
ESP Multiphase Boosting Mechanisms and Condition Diagnosis
Boosting degradation of electrical submersible pumps under gassy, viscous and emulsified conditions; hydraulic design and CFD optimization of wide-range offshore ESPs; mechanism–data fusion diagnosis.
Details →
Plunger Lift Transient Modeling and Intelligent Diagnosis
Full-cycle plunger dynamics model and OLGA transient simulation; open/shut-in schedule optimization; deep-learning diagnosis of abnormal plunger-well conditions.
Details →
Hydraulic Jet Pumps for Gas-Well Deliquification
Two-/three-phase performance models of concentric dual-tubing jet pumps and gas-blocking limits; VOF simulation, surrogate models and multi-objective optimization.
Details →
Intelligent Defect Recognition in Pipeline MFL In-Line Inspection
Cascaded deep learning for defect detection and sizing from magnetic flux leakage signals; diffusion-model sample generation and reconstruction of under-sampled signals.
Details →
Oil and Gas Field Big-Data Analytics
Data-driven world models and risk-aware planning agents built on production time series such as foaming-agent injection; diagnosis for plunger and ESP wells.
Details →