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Abstract

Summary

This study explores the use of probabilistic methods to quantify and summarize key outcomes of CCS modelling efforts using tNavigator. It utilizes a workflow to build a reservoir model ready for simulation, with all necessary stages from petrophysics and structural modelling, to geomechanics and dynamic simulation constraints. The integrated nature of the model and the incorporated uncertainty workflow allows to investigate the effects of different domains, such as top structure, geostatistical property distribution (e.g. variograms), relative permeabilities (e.g. endpoints), injection pressure, and geomechanical properties.

Multiple variants have been simulated using the Latin Hypercube experimental design, each with its own set of petrophysical, geological, geomechanical, reservoir and operational parameters. An intuitive and robust probabilistic method was then utilized to quantify probability of occurrence and custom percentile maps to represent results for plume extent, leakage and rock failure.

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/content/papers/10.3997/2214-4609.202474035
2024-08-12
2026-02-16
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References

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