3. FLOW MODELLING

Injection of CO2 into deep geological formations involves deploying many of the technologies and methodologies that have been developed in the oil and gas (exploration and production) industry including computer simulation of storage reservoir dynamics.

The mechanisms that control the behaviour of injected CO2 need to be evaluated through fluid flow modelling based on an understanding of the processes that are active in the reservoir and the available injection/production and monitoring data.

Site characterisation and storage system modelling work helps to design a robust monitoring, verification and accounting system that provides data for validating modelling results, monitoring potential leakage, and providing confidence that the CO2 would remain in the subsurface. A number of existing reservoir simulators have been used or further developed to evaluate underground multi-phase flow, seepage through the caprock, geomechanical impact, or flow in fractured media.

This chapter describes the CO2 flow and transport mechanisms that occur in storage systems, briefly presents available numerical modelling tools and provides an overview of the flow modelling work carried out at industrial field and pilot sites around the world. 

Injection of CO2 into deep geological formations involves deploying many of the technologies and methodologies that have been developed in the oil and gas (exploration and production) industry. Computer simulation of storage reservoir dynamics is one of these technologies, along with well-drilling technology, injection technology, and monitoring methods.

The mechanisms that control the behaviour of injected CO2need to be evaluated through fluid flow modelling based on an understanding of the processes that are active in the reservoir and the available injection/production and monitoring data.

Site characterisation and storage system modelling work helps to design a robust monitoring, verification and accounting system that provides data for validating modelling results, monitoring potential leakage, and providing confidence that the CO2 would remain in the subsurface. A number of existing reservoir simulators have been used or further developed to evaluate underground multi-phase flow, seepage through the caprock, geomechanical impact, or flow in fractured media.

Reservoir and storage system simulations are used to determine (modified from NETL, 2009):

  • the temporal and spatial migration of the injected CO2 plume;
  • the effect of geochemical reactions on CO2 trapping and long-term porosity and permeability behaviour;
  • the caprock and wellbore integrity;
  • the impact of thermal/compositional gradients in the reservoir;
  • the pathways that may allow CO2 to migrate out of the main storage reservoir;
  • the importance of secondary barriers;
  • the effects of unplanned hydraulic fracturing;
  • the extent of upward migration of CO2 along the outside of the well casing;
  • the impacts of cement dissolution; and consequences of wellbore failure.

The aim of flow modelling is different in each phase of the CO2 storage project. During the pre-operational phase, simulation models are used to predict CO2 plume migration and the effectiveness of solubility, residual gas (capillary) and mineral trapping. During operations, comparison between simulated and monitored plume migration are used to refine and calibrate the model, and then update forecasts of plume migration. This iterative approach is required to develop confidence in the prediction of plume behaviour. During the post-operational phase, a similar iterative approach is used to predict post-injection plume behaviour with a primary focus on quantifying the secondary trapping mechanisms that will eventually immobilise the CO2.

One of the main purposes of developing predictive models is to confirm that the storage project is performing as planned/expected. Data collected during the early monitoring phase can be used to address potentials risks and mitigate circumstances when the project may not be performing adequately. Inconsistencies between field data and model predictions, which may suggest a leak, would trigger another level of monitoring to determine the CO2 leakage pathway and the potential plume location and extent. The predictive model that is calibrated and refined using these data forms the basis for predicting longer-term performance. Model calibration and performance confirmation can be done by comparing model predictions with monitoring data. Therefore, parameters that will be monitored should include the data needed for this comparison such as downhole pressure, actual injection and production rates, 3-D seismic data, tracer data, data from geophysical logs, geochemical data from cores, and reservoir fluid test data, etc. Reservoir pressure data may be obtained either by downhole pressure sensors or estimated using surface pressure and injection data (NETL, 2009).

Besides CO2 storage in the deep saline aquifers or depleted gas or oil reservoirs, the enhanced coalbed methane (ECBM) recovery with CO2 storage is also modelled. In addition to monitoring, verification, and risk of CO2 storage in coal seams, optimisation of methane recovery using CO2 is addressed by numerical modelling. ECBM simulators are used to define the physical and operational boundaries and trade-offs for safe and effective CO2 storage and ECBM recovery. Simulations are used to determine the monitoring networks that are needed to predict both the migration of CO2 and within the coal seam and the recovery of CH4 from the coal seam.

A reservoir modelling study starts with the development of a geological model for the storage site that consists of the reservoir, the primary seals, and may include the overlying formation, shallow aquifer(s) and the vadose zone. Reservoir simulation models require site-specific geological parameters both physical (lithology, pressures, temperatures) and chemical (groundwater and formation fluid compositions, soil gas composition) to properly simulate plume fate and transport over time.

Modelling of the shallow groundwater will provide insights into groundwater flow directions and the potential for transport of groundwater that may be impacted by the CO2 injection process and require migration off site.

 

in depth

3.1 Flow and transport mechanisms

The accuracy of flow models depends mainly on the quality of the input parameters and their capability in handling the f...

3.4 Conclusions

Understanding the fate of the injected CO2 in the storage reservoir is a coCOmplex task. ...