In the sub-zero pre-dawn of a North Sea winter, the Stavanger Star , a floating production vessel, was bleeding. A critical six-inch pipe, carrying a slurry of crude and corrosive brine, had cracked along a seam hidden inside a maintenance void. Every hour of repair downtime cost the operator half a million dollars.
Lena began building a phantom spool. She traced the new route, avoiding the laser-scanned hazards—a hydraulic line here, a structural rib there. With each click, SpoolGen calculated the exact cut lengths, the bevel angles, the weld gaps. It showed her the "pull-back"—the wiggle room a fitter would need to muscle the spool into place between two fixed flanges.
The software generated a spool drawing, not as a static PDF, but as a living dataset: an Isometric with every weld number, every heat number, every dimensional tolerance down to half a millimeter. It produced a spool list for the workshop and, crucially, an NC file for the pipe-cutting and beveling machine.
In the sub-zero pre-dawn of a North Sea winter, the Stavanger Star , a floating production vessel, was bleeding. A critical six-inch pipe, carrying a slurry of crude and corrosive brine, had cracked along a seam hidden inside a maintenance void. Every hour of repair downtime cost the operator half a million dollars.
Lena began building a phantom spool. She traced the new route, avoiding the laser-scanned hazards—a hydraulic line here, a structural rib there. With each click, SpoolGen calculated the exact cut lengths, the bevel angles, the weld gaps. It showed her the "pull-back"—the wiggle room a fitter would need to muscle the spool into place between two fixed flanges.
The software generated a spool drawing, not as a static PDF, but as a living dataset: an Isometric with every weld number, every heat number, every dimensional tolerance down to half a millimeter. It produced a spool list for the workshop and, crucially, an NC file for the pipe-cutting and beveling machine.