Study of the formation mechanisms of CO2 hydrates from matching the experimental data with a porous media setting by multiphase flow-geochemical-thermal reservoir simulator

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Highlights

  • Reliable reaction module of CO2 hydrate is built by a reservoir simulator.

  • Sensitivity analysis is used to know the effects of flow property on CO2 hydrate.

  • CO2 hydrate reaction module is established based on a good history matching.

  • CO2 hydrate formation begins at the interface between the water and gas.

Abstract

In this study, a multiphase flow-geochemical-thermal reservoir simulator, CMG STARS, was used to build a reliable reaction module of the CO2 hydrate formation based on laboratory test results in order to investigate the behaviors of CO2 hydrate formation. This research was based on experiments conducted in previous studies by the team from the National Taiwan University of Science and Technology (NTUST). For the experimental data matching, a sensitivity analysis was conducted to understand the effects of flow property, reaction, and thermal property parameters on the behaviors of CO2 hydrate formation. This study successfully established a CO2 hydrate reaction module based on a good history matching. Both the experiment and simulation demonstrated that the CO2 hydrate is formed at the interface between the water and gas. The concentration, accumulation, and distribution of the CO2 hydrate affected by the free gas transport was observed in the simulation.

Introduction

As a result of the global warming, the climate of the Earth has undergone a significant change. Climate change has had widespread impacts on both humans and the environment [1]. Global warming is majorly caused by the emission of large amounts of CO2, a greenhouse gas that is produced by the excess use of fossil fuels [2]. Governments world-wide are eager to find effective ways to decrease the rate of global warming. A possible solution exists in reducing the CO2 concentration in the atmosphere via carbon capture and storage (CCS), which involves injecting CO2 into deep underground depleted petroleum reservoirs or aquifers.

The injected CO2 might remain mobile in the porous media in the deep formation, this makes the stored CO2 might migrate upward. The leakage of CO2 might happen if the stored CO2 flow into a permeable fault or a weak-integrated wellbore. To make sure of the containment of CO2 geological storage, the function of geo-chemical mechanism is critical. The formation of CO2 hydrates underground has been demonstrated as a more secure form of CO2 storage.

Gas hydrates are solid compounds that are formed by small size gas molecules, such as CH4 or CO2, and a certain amount of water molecules. Under high pressure and low temperature conditions, the water molecules tend to form crystal-like structures that act as micro-sized cages, trapping the gas molecules inside [3]. Because of the solid crystal structures, the gas molecules are packed closely and tightly inside of the structures. It is known that a unit volume of CO2 hydrates can release 162 volume units of CO2 gas under standard conditions [4]. CO2 storage via solid CO2 hydrates zeros the mobility of the stored CO2; and consequently, there is no risk of leakage.

The formation of CO2 hydrate in a deep rock formation is desirable not only because of the high storage capacity and zero mobility it provides in the porous media, but also because of the important role it can play during the methane (CH4) hydrate recovery process. The minimum pressure of CO2 hydrates formation is substantially lower than that of CH4 hydrates formation at the same temperature [5]. This allows for CO2 hydrates to form more easily in the methane hydrate deposits, resulting in a CO2/CH4 exchange reaction that releases CH4 gases to be produced by production wells. CH4 hydrate recovery via CO2 injection also benefits from the formation of CO2 hydrates, which allow for CO2 storage and maintains the stability of the reservoir.

Numerical simulations are a useful tool that can be used to study the hydrate reactions that occur during the CO2 injection [6], [7], [8]. The reliable reaction module for CO2 hydrate formation is crucial for the performance of the reservoir simulation relating to the gas production from a gas hydrate deposit or the CO2 geological storage. A reliable CO2 hydrate reaction module can be developed based on a conducted laboratory experiments [9], [10], [11] with history matching techniques. By matching the simulation calculations to the experimental data, the behaviors of CO2 hydrate formation in an experiment chamber can be revealed. Another contributions from the simulation model are to know the CO2 hydrate distribution inside of the experimental chamber, which is not easy to be observed visually during the course of experiments with limited windows [12,13].

In the literature, there are a lot of simulation jobs conducted to be compared with laboratory data of CH4 or CO2 hydrate reaction. However, most of them are done by the process simulation method which focuses on the chemical reaction itself without discussing the fluid flow and heat flow within the reactor [10,11]. Under the consideration of in-situ reservoir condition, the chemical reaction properties aren't the only controls of the gas hydrate formation behavior. Once the characteristics of porous media is considered in the laboratory experiment, the reaction properties obtained from process simulation matching cannot solve all of the parameters to build a reliable reservoir simulator module for hydrate simulation. The simulation study using a multi-phase flow simulator (or reservoir simulator) is very rare [9]. To our knowledge, this study is the first paper inspecting the authenticity of the multiphase flow-geochemical-thermal reservoir simulator doing CO2 hydrate formation simulation with a laboratory scale grid model under the consideration of the porous media.

The best way to have the thermal dynamic parameters of CO2 hydrate reactions used for the simulations of hydrate production and CO2 geological storage is from the duplication of an experiment by the numerical model. The purpose of this study is to build a numerical simulation model in accordance with a real laboratory experiment. A reliable reaction module of CO2 hydrate formation is obtained by matching the numerical calculations to experimental data. The CO2 hydrate distribution inside the experiment chamber and the characteristics of CO2 hydrate formation thus can be investigated numerically. Those well-defined thermal dynamic parameters of CO2 hydrate reactions can also be further used for the future simulation studies.

Section snippets

Material and methods

This study is based on the previous experiment data conducted by the team from the National Taiwan University of Science and Technology (NTUST) [12,13] to build the numerical model. In this study, the lab-scale experiment is simulated by the STARS software, developed by the Computer modelling Group (CMG), Ltd. CMG STARS is a comprehensive software used to model recovery processes involving steam, solvents, CO2, and other chemicals [14,15]. This simulator is ideal for the simulation of fluid

Results and discussion

In this simulation study, the average pressure was used as a controlled variable and the average temperature profile was used as an observed variable. The CO2 injection profile and CO2 hydrate formation profile are shown as supporting parameters.

Conclusions

A CO2 hydrate reaction module was established based on the experimental data of CO2 hydrate formation in this study. The major findings from this study are:

The flow properties can affect the hydrate formation reaction. A lower absolute permeability results in a larger quantity of hydrate formation.

A greater reaction frequency leads to a higher hydrate formation rate, and more heat is released. High activation energy can create an energy barrier, which deters the formation reaction. In this

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by Ministry of Science and Technology, Taiwan (Grant number: MOST 108-2116-M-006-014). The authors thanks to Dr. Cheng-Yueh Wu for his valuable suggestions and helps.

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