Abstract
One of the possibilities to reduce carbon dioxide emissions is the use of the CCS method, which consists of CO2 separation, transport and injection of carbon dioxide into geological structures such as depleted oil fields for its long-term storage. The combination of the advanced oil production method involving the injection of carbon dioxide into the reservoir (CO2-EOR) with its geological sequestration (CCS) is the CCS-EOR process. To achieve the best ecological effect, it is important to maximize the storage capacity for CO2 injected in the CCS phase. To achieve this state, it is necessary to maximize recovery factor of the reservoir during the CO2-EOR phase. For this purpose, it is important to choose the best location of CO2 injection wells. In this work, a new algorithm to optimize the location of carbon dioxide injection wells is developed. It is based on two key reservoir properties, i.e., porosity and permeability. The developed optimization procedure was tested on an exemplary oil field simulation model. The obtained results were compared with the option of arbitrary selection of injection well locations, which confirmed both the legitimacy of using well location optimization and the effectiveness of the developed optimization method.
Highlights
Some scientists confirm the relationship between the emission of greenhouse gases into the atmosphere and the increase of average temperature on Earth
A new algorithm to optimize the location of wells injecting carbon dioxide into the oil field is developed
As a result of injection wells location optimization, an additional 30,000 optimization, an additional 30,000 m3 of oil can be produced from the analyzed reservoir. This value m3 of oil can be produced from the analyzed reservoir. This value translates into a 30% increase in translates into a 30% increase in oil production during the CO2-Enhanced Oil Recovery (EOR) process and a significant oil production during the CO2 -EOR process and a significant increase in CO2 storage capacity increase in CO2 storage capacity compared to the scenario assuming arbitrary selection of injection compared to the scenario assuming arbitrary selection of injection well locations
Summary
One of the potential options for reducing carbon dioxide emissions is the use of the CCS method, which consists of CO2 separation, transport, compression and CO2 injection for its long-term storage in geological structures as well as monitoring CO2 behavior in the structure This process can be divided into several stages. To further increase the recovery factor, tertiary methods, known as Enhanced Oil Recovery (EOR) methods, are used [7] They consist in affecting the oil properties, including viscosity and density, as well as the supply of energy supporting the production process. One of the key factors affecting the efficiency of crude oil production when implementing the CCS-EOR method is the appropriate selection of CO2 injection wells locations This choice is very complicated because the number of potential solutions increases non-linearly with the increase of parameters on which this choice depends. These factors affect fluid flow in the reservoir in a non-linear way, which causes that the issue of location optimization requires consideration of many parameters and analysis of many cases to determine the best coordinates for injection wells [10]
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