Abstract If not closely monitored, corrosion on the surface of offshore oil and gas platforms leads to the increased risk of unplanned shutdowns. On-site fabric maintenance inspections of corrosion defects are labor-intensive and require frequent travel offshore. As a result, only a sample of the total defects are monitored during each inspection campaign, and a high-risk defect could be missed completely. Through the use of laser scanning techniques, this work develops an automated approach to measuring the height of blistering corrosion or depth of surface pitting. A workflow is suggested where inspectors use a web-based implementation of this technology to conduct maintenance inspections remotely from their computers, to filter high-priority defects that should be scheduled for follow-up inspection. In doing so, on-site inspections can be more targeted and efficient. The experimental results show that the calibrated blister height measurements using the measurement method had R2 correlations of 0.98 to 0.91 (depending on surface type) with hand-measurements done on-site by inspectors, which correspond to average root-mean-squared errors between 0.27 to 0.57 mm.