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Inversion derived history matching
Our workflow closes the loop between seismic observations and reservoir simulation. By rigorously transforming simulator outputs into the seismic domain, we enable a like-for-like comparison that identifies where models and data diverge – giving reservoir engineers data-driven input to improve predictive accuracy.
“By bringing simulator outputs through the same seismic filtering and inversion processes as the observed data, we can evaluate reservoir performance with a level of consistency that traditional history matching cannot provide.”
Inversion derived history matching - A technical description
The Qeye inversion derived history matching (IDHM) workflow is designed to ensure an efficient yet rigorous conversion from the reservoir simulator domain (Eclipse models in depth) to the domain of reflection seismic data or 4D seismic based rock properties and their respective changes. This to enable a direct comparison of simulator and seismic inversion properties.
The Qeye IDHM workflow main steps are,
- Advanced re-sampling and transformation of reservoir simulator data into the seismic grid
- Produce synthetic seismic
- Invert the synthetic seismic to ensure that all filtering processes undergone by observed seismic are applied to the model
- Adding noise-modelling workflow that accurately reproduces seismic noise across angle-stacks, is structural conformable and spatially varying
- Produce reservoir model inversion results for comparison with seismic inversion results
The objective is to understand how and to which degree, the defined properties of the reservoir model match the seismic domain observed properties. A key part of this evaluation is to identify discrepancies which are associated with production, evaluate them and propose solutions. The Qeye script-based environment allows for a quick turnaround from client reservoir model update to processing, quality control and comparison before redelivery to the client, and as such can be performed for a large number of model updates.
*Wrobel Image2023 - Data by third party
