Understanding key reservoir properties like porosity, permeability, and their interrelationships is crucial for accessing CO₂ injectivity and storage potential in carbon capture and storage (CCS) projects. Traditional regression techniques often fall short in complex reservoirs, where permeability can vary widely across multiple lithologies.
In this on-demand webinar, we discussed advanced workflows that enable you to:
- Gain deeper insights into reservoir by using Optimizing Petrophysics approach (Multimin) to integrate diverse data sources
- Improve the assessment of porosity-permeability relationships—even in highly heterogeneous reservoirs
- Increase the accuracy of your rock type classification analysis by extending the porosity-permeability relationships to zones and wells lacking data
- Use machine-learning techniques to calculate an accurate permeability log
- Leverage well log data to estimate storage capacity and identify baffle facies impacting CO₂ distribution
Explore how Aspen Geolog™ can streamline your carbon storage workflows and drive data-driven decisions across intervals and wells.