A major Latin American operator relied on manual slack-off and pick-up checks that forced recurring drilling pauses, quietly extending well timelines through invisible lost time. By implementing Corva’s automated Hookload Broomstick model, they used 1-second WITSML data to identify Rotary On Bottom (ROB), Pick-Up (PU), and Slack-Off (SO) in real time, generating reliable weight points only after sustained sequences and filtering outliers.
Corva’s automated Hookload Broomstick analysis improved efficiency and delivered continuous performance visibility, saving:
