Software - Geoprediction Platform

Data-Driven Prediction for Smarter Subsurface Decisions

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.

Guided Reservoir Characterization

Make robust predictions of fluid distributions, rock properties, and subsurface architecture from seismic data by leveraging knowledge from well-based rock physics analyses. Analyze, explore, and quantify data uncertainty and geological uncertainty.

Multidisciplinary Prediction

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.

Reservoir-Characterisation-Complex-Low-Frequency-Model

Propagate 1D Models into 2D/3D/4D

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.

Related RokDoc Add-ons

Seismic Data Conditioning - Inversion

Live-workflow driven data conditioning and inversion technology to ensure data are optimized for quantitative interpretation and best possible results are found efficiently.

Ji-Fi

Cutting-edge seismic reservoir characterization integrated with best-in-class Rock Physics, addresses shortcomings in conventional workflows and integrates multi-domain geological knowledge.

Ji-Fi IQP

Explore multi-scenario, data uncertainties in the seismic characterization workflow to validate any number of geological scenarios and understand probability of success.

Reservoir Characterization

Best-in-class rock physics, geopressure and geomechanical tools to deliver exceptional reservoir characterization.

Deep QI

Automate rock physics model calibration and data trending. Quickly capture, aggregate, condition and analyze large volumes of data using innovative classification, regression and multi-mineral petrophysics machine learning algorithms in the RokDoc workflow.

Reservoir Monitoring

Model impacts of production on 4D seismic response across multiple geological zones in a single unified petro-elastic model.

Why choose RokDoc for your pore pressure prediction software?

RokDoc goes beyond basic pressure tools by combining geology, geophysics, rock physics, geomechanics, and drilling data in one integrated workflow. The result is faster, more reliable pore pressure prediction with stronger geological context and greater confidence in drilling decisions.

How does RokDoc outperform other pressure prediction tools?

RokDoc helps teams reduce risk by building calibrated, geologically driven models from 1D to 3D. Instead of relying on isolated calculations or fragmented workflows, RokDoc gives interpreters a more complete view of subsurface pressure and stress so they can plan with greater certainty.

How does RokDoc help reduce uncertainty?

RokDoc helps teams reduce risk by building calibrated, geologically driven models from 1D to 3D. Instead of relying on isolated calculations or fragmented workflows, RokDoc gives you a more complete view of subsurface pressure and stress so they can plan with greater certainty.