Data-Driven Approach
Find success in step-out environments using previously captured knowledge and regional trends. Automate model classification and calibration with the cutting-edge Rock Physics Machine Learning (RPML) engine. RokDoc allows you to train and deploy machine learning models at the wells and in 3D, using state-of-the-art algorithms, to transform your understanding and improve efficiencies.
Uncertainty Analysis
Automate and evaluate geological ‘what-if’ scenarios quickly and easily with RokDoc to understand the probability of success. Understand lateral and vertical changes and trends with variography workflows. Add statistical variability to datasets to represent realistic noise and ensure scenarios are sound.