Application of a physics-based lumped parameter model to evaluate reservoir parameters during CO 2 storage
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Application of a physics‑based lumped parameter model to evaluate reservoir parameters during CO2 storage Samin Raziperchikolaee1 · Srikanta Mishra1 Received: 5 March 2020 / Accepted: 5 August 2020 © The Author(s) 2020
Abstract Evaluating reservoir performance could be challenging, especially when available data are only limited to pressures and rates from oil field production and/or injection wells. Numerical simulation is a typical approach to estimate reservoir properties using the history match process by reconciling field observations and model predictions. Performing numerical simulations can be computationally expensive by considering a large number of grids required to capture the spatial variation in geological properties, detailed structural complexity of the reservoir, and numerical time steps to cover different periods of oil recovery. In this work, a simplified physics-based model is used to estimate specific reservoir parameters during C O2 storage into a depleted oil reservoir. The governing equation is based on the integrated capacitance resistance model algorithm. A multivariate linear regression method is used for estimating reservoir parameters (injectivity index and compressibility). Synthetic scenarios were generated using a multiphase flow numerical simulator. Then, the results of the simplified physicsbased model in terms of the estimated fluid compressibility were compared against the simulation results. C O2 injection data including bottom hole pressure and injection rate were also gathered from a depleted oil reef in Michigan Basin. A field application of the simplified physics-based model was presented to estimate above-mentioned parameters for the case of CO2 storage in a depleted oil reservoir in Michigan Basin. The results of this work show that this simple lumped parameter model can be used for a quick estimation of the specific reservoir parameters and its changes over the C O2 injection period. Keywords CO2 storage · Physics-based model · Lumped parameter model · Capacitance resistance approach · Multivariate linear regression · Injectivity index · Depleted oil reef · Michigan Basin
Introduction Storage of carbon dioxide into geological formations is a mitigation strategy to reduce mankind’s greenhouse gas emissions into the atmosphere. Depleted oil and gas reservoirs, saline formations, and coal seams could be used as potential CO2 storage sites (Bachu et al. 2007; Gale 2004). Among them, depleted oil reservoirs are considered a promising candidate for injection and long-term storage of carbon dioxide due to its capability to achieve two objectives simultaneously: (1) enhanced oil recovery (EOR) and (2) CO2 storage during and after EOR (Alvarado and Manrique 2010).
* Samin Raziperchikolaee [email protected] 1
Battelle Memorial Institute, Columbus, OH, USA
Assessing environmental risks associated with the geological CO2 sequestration is necessary to verify long-term safe storage of C O2 (Gale 2004; Rubin and De
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