Our client, a global leader in oilfield services operating in over 70 countries, faced significant challenges in cementing operations. Seeking to improve accuracy and optimize costs and efforts of the cementing process, the company has partnered with FPT to deploy an AI-powered solution. Leveraging Machine Learning models (FLAML, XGBoost), the solution was able to predict thickening time and UCA milestones at 100 psi, 500 psi, and 1000 psi, raising accuracy rate from 60% to 79% across key measurements. Consequently, the company managed to optimize experimentation costs and efforts for the cementing design validation process, which would otherwise require 17,000 tests per month if processed manually.