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.
Accurately predict subsurface properties using engineering, geological, and geophysical data. Better understand production and injection effects via calibrated models and integrating algorithms. Easily visualize your results in RokDoc to support drilling and data acquisition decisions.
Increase revenue by understanding subsurface subtleties and avoiding hazards. Leverage well data understanding to validate and calibrate seismic models. Geostatistical, trend, facies, and lithology-based methods are utilized in RokDoc to predict properties, rank prospects, and assess potential risks to deliver accurate 1D, 2D, 3D and 4D models.