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Ikon -Â Version RokDoc -Fast, Flexible, & Powerful Rock Physics Modeling Module Software
A robust and meaningful rock physics analysis is the basis of any quantitative subsurface prediction workflow. The Rock Physics Module provides the tools and workflows that you need to get this done right.
Quickly build a powerful rock physics modeling framework for your assets and prospects. Understand the link between the geological and petrophysical properties and the observed seismic response. Gain insight into what is actually driving the seismic responses observed between wells.
Robustly link the well-based models and understanding to the seismic response, interpret seismic amplitudes with increased confidence, capture and realize the value of broadband seismic datasets in the quantitative interpretation workflow.
Add an extra dimension to your modeling. Investigate the impact of geometry and lateral variation in rock properties on seismic amplitudes, explore the impact of tuning on amplitudes and reflector geometry, model hydrocarbon contacts and directly compare 2D synthetic models to seismic lines.
Challenge: Interpreting seismic responses is a difficult task, as amplitudes vary enormously depending on depositional environment, burial history and current day environmental conditions. This results in great potential for mistakes to be made and opportunities to be missed due to a lack of understanding about what is driving the seismic responses.
Solution: A robust framework for linking geological processes and properties to seismic response, that allows an understanding of the key geological factors driving seismic responses in each basin, coupled with a method of capturing and understanding geological uncertainty and its impact on risk.
Results: Reduced risk in interpreting seismic amplitudes and an understanding of interpretation uncertainty. The identification of both false positives and negatives when interpreting seismic responses, a reduction in interpretation cycle time, screening and validation of high CoS prospects, improved communication between geology and geophysics.
The Deep QI add-on has best-in-class machine learning (ML) algorithms to predict missing data not only using training datasets but also guided with geological knowledge from petrophysics and rock physics. This toolkit accelerates and improves analysis of regional information due to its flexibility in handling data sets of varied size and volume. The functions span the RokDoc platform by leveraging well data, rock physics models, and pressure trends. Streamline rock property trending for Ji-Fi and use trained ML models for petrophysical property prediction.
