Rapid flow diagnostics for prototyping of reservoir concepts and models for subsurface CO2 storage

Journal Article (2023)
Author(s)

D. Petrovskyy (Heriot-Watt University)

Carl Jacquemyn (Imperial College London)

S. Geiger (Heriot-Watt University)

Matthew D Jackson (Imperial College London)

Gary J Hampson (Imperial College London)

Julio D Machado Silva (University of Calgary)

Sicilia Judice (University of Calgary)

Fazilatur Rahman (University of Calgary)

M. Costa Sousa (University of Calgary)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1016/j.ijggc.2023.103855
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Publication Year
2023
Language
English
Affiliation
External organisation
Volume number
124

Abstract

Sketch-based interface and modelling is an approach to reservoir modelling that allows rapid and intuitive creation of 3D reservoir models to test and evaluate geological concepts and hypotheses and thus explore the impact of geological uncertainty on reservoir behaviour. A key advantage of such modelling is the quick creation and quantitative evaluation of reservoir model prototypes. Flow diagnostics capture key aspects of reservoir flow behaviour under simplified physical conditions that enable the rapid solution of the governing equations, and are essential for such quantitative evaluation. In this paper, we demonstrate a novel and highly efficient implementation of a flow diagnostics framework, illustrated with applications to geological storage of CO2. Our implementation permits ‘on-the-fly’ estimation of the key reservoir properties that control CO2 migration and storage during the active injection period when viscous forces dominate. The results substantially improve the efficiency of traditional reservoir modelling and simulation workflows by highlighting key reservoir uncertainties that need to be evaluated in subsequent full-physics reservoir simulations that account for the complex interplay of viscous, gravity, and capillary forces.

The methods are implemented in the open-source Rapid Reservoir Modelling software, which includes a simple to use graphical user interface with no steep learning curve. We present proof-of-concept studies of the new flow diagnostics implementation to investigate the CO2 storage potential of sketched 3D models of shallow marine sandstone tongues and deep water slope channels.

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