Furthermore, machine learning is being used to auto-select correlations. A neural network can learn which slip model matches historical well tests, then apply that to new wells without manual calibration. In an industry where drilling a single well costs $50M+, leaving 10% production on the table is unacceptable. Pipesim simulation provides the physics-based insight to make low-risk, high-reward decisions. Whether you are modeling a single unconventional shale well with liquid loading or a massive deepwater network with dozens of tiebacks, Pipesim offers the accuracy and flexibility needed.
Using , engineers built a network model. The simulation revealed that the 8-inch flowline was under-sized for the gas volume (high GOR). The pressure drop in the flowline was 1,800 psi—too high. pipesim simulation
Optimize your flow. Master Pipesim simulation today. Furthermore, machine learning is being used to auto-select