Potential of Denver Basin oil fields to store CO2 and produce Bio-CO2-EOR oil

Lee, Erik; Hornafius, J. Scott; Dean, E. W.; Kazemi, Hossein

doi:10.1016/j.ijggc.2018.11.013

Cited by 10 publications

(3 citation statements)

References 18 publications

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“…The interaction force (eq 9) has two parts. One is the interaction between molecules of the same fluid phase, and the other is the interaction between molecules of different fluid phases, which could be further approximated as 59,93,94 (10) w h e r e C 0 ∇ ψ β ( x , t ) i s t h e a p p r o x i m a t i o n o f w x e t t e ( , )…”

Section: Methodsmentioning

confidence: 99%

“…Carbon dioxide (CO 2 ) displacement is a vital process in environmental engineering and petroleum engineering. Amid the growing demands for environmental protection and carbon emission regulation, techniques such as carbon capture, utilization, and storage have emerged as some of the most important topics in the engineering field. − Because of its low viscosity and low surface tension with oil, CO 2 has also become one of the most promising driving fluids in enhanced oil recovery (EOR). − In addition, CO 2 -EOR and geological sequestration in depleted oil reservoirs may lead to the storage of greenhouse gases in the reservoir formation, which has drawn the attention of researchers in the environmental engineering and petroleum recovery communities. − …”

Section: Introductionmentioning

confidence: 99%

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Pore-Scale CO₂ Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Tang

Zhan

et al. 2019

Energy Fuels

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With the worldwide increasing concern regarding environmental protection and controlling carbon emission, carbon dioxide (CO2) displacement in the subsurface becomes a vital process in environmental engineering and petroleum engineering. In this study, we propose a new “D3Q27” three fluid phase lattice Boltzmann method (TPLBM) based on a multiple relaxation time algorithm to study the flow behavior of three fluids, water, CO2, and oil in this study. A series of TPLBM simulation studies are carried out on a three-dimensional digital replica of a rock (sandstone) to investigate the microprocesses and mechanisms of CO2 displacement from its oil–water–CO2 systems. Data gathered from high-resolution X-ray computed tomography scanning of a sandstone sample from Daqing oilfield, Longhupao, Songliao Basin, China, is used to construct the rock replica. TPLBM numerical simulations are conducted to analyze the microdisplacement of CO2 in sandstone under different injection conditions. The results show that the displacement efficiency is higher at higher injection rates and pressure differences, with a constant total volume of injected CO2. The optimal injection rate and pressure difference for CO2 displacement in sandstone are identified. The average ultimate CO2 displacement efficiency is 90.1% when the injection rate remains constant, whereas the average ultimate CO2 displacement efficiency is 95.8% when the injection pressure difference remains constant. The proposed method offers a new method for analyzing the pore-scale three fluid phase flow in sandstone.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pore-Scale CO₂ Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Tang

Zhan

et al. 2019

Energy Fuels

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“…Moreover, injecting CO2 into an oil-bearing formation has the potential to enhance oil recovery. This technique, hereinafter referred to as CO2-EOR, coupled/associated with the gas storage can defray the cost of sequestration (Hill et al 2013;Ettehadtavakkol et al 2014;Ampomah et al 2017;Lee et al 2019). The CO2-EOR and its storage potential have been investigated by many projects worldwide (Bachu, 2018;Choi et al, 2013;Nguyen-Trinh and Ha-Duong, 2015;Pham and Halland, 2017;Wei et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam

Thanh

Sugai

Nguele

et al. 2019

International Journal of Greenhouse Gas Control

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Carbon dioxide (CO2) capture, utilization, and storage (CCUS) have been proposed as a possible technique to mitigate climate change. In this vein, CO2 storage through enhanced oil recovery (EOR) in depleted hydrocarbon reservoirs is touted as a most effective approach because it synergistically increases oil production and enables permanent sequestration into the reservoirs.However, the construction of a reasonable 3D geological model for this storage reservoir is a major challenge. Thus, this study presents an efficient workflow for constructing an accurate geological model for the evaluation of CO2 storage capacity in a fractured basement reservoir in the Cuu Long Basin, Vietnam. Artificial neural network (ANN) has been used to predict porosity and permeability values through seismic attributes and well log data. The predicted values were selected using high correlation factors with well log data. Subsequently, the Sequential Gaussian Simulation and co-kriging methods were applied to generate a 3D static geological model by using azimuth and dip parameters. Finally, drill stem test matching was performed to validate the accuracy of the porosity and permeability models through dynamic simulation. A validation 3D reservoir model, which integrates geophysical, geological, and engineering data from fractured basement formation in Cuu Long Basin, was further constructed to calculate theoretical CO2 storage capacity. As a result, the calculated storage capacity for the fractured basement reservoir ranged from 7.02 to 99.5 million metric tons. These estimated results demonstrate that fractured basement reservoir has a combined potential for CO2 storage and EOR in the Cuu Long Basin.

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Optimizing CO₂ Purification in a Negative CO₂ Emission Power Plant

Amiri,

Mikielewicz,

Ziółkowski

et al. 2024

Chem Eng & Technol

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In the pursuit of mitigating CO2 emissions, this study investigates the optimization of CO2 purification within a negative CO2 emission power plant using a spray ejector condenser (SEC) coupled with a separator. The approach involves direct‐contact condensation of vapor, primarily composed of an inert gas (CO2), facilitated by a subcooled liquid spray. A comprehensive analysis is presented, employing a numerical model to simulate a cyclone separator under various SEC outlet conditions. Methodologically, the simulation, conducted in Fluent, encompasses three‐dimensional, transient, and turbulent characteristics using the Reynolds stress model turbulent model and mixture model to replicate the turbulent two‐phase flow within a gas–liquid separator. Structural considerations are delved into, evaluating the efficacy of single‐ and dual‐inlet separators to enhance CO2 purification efficiency. The study reveals significant insights into the optimization process, highlighting a notable enhancement in separation efficiency within the dual‐inlet cyclone, compared to its single inlet counterpart. Specifically, a 90.7 % separation efficiency is observed in the former, characterized by symmetrical flow patterns devoid of wavering CO2 cores, whereas the latter exhibits less desirable velocity vectors. Furthermore, the investigation explores the influence of key parameters, such as liquid volume fraction (LVF) and water droplet diameter, on separation efficiency. It is ascertained that a 10 % LVF with a water droplet diameter of 10 µm yields the highest separation efficiency at 90.7 %, whereas a 20 % LVF with a water droplet diameter of 1 µm results in a reduced efficiency of 50.79 %. Moreover, the impact of structural modifications, such as the addition of vanes, on separation efficiency and pressure drop is explored. Remarkably, the incorporation of vanes leads to a 9.2 % improvement in separation efficiency and a 16.8 % reduction in pressure drop at a 10 % LVF. The findings underscore the significance of structural considerations and parameter optimization in advancing CO2 capture technologies, with implications for sustainable energy production and environmental conservation.

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Potential of Denver Basin oil fields to store CO2 and produce Bio-CO2-EOR oil

Cited by 10 publications

References 18 publications

Pore-Scale CO₂ Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Pore-Scale CO₂ Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam

Optimizing CO₂ Purification in a Negative CO₂ Emission Power Plant

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Potential of Denver Basin oil fields to store CO2 and produce Bio-CO2-EOR oil

Cited by 10 publications

References 18 publications

Pore-Scale CO2 Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Pore-Scale CO2 Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam

Optimizing CO2 Purification in a Negative CO2 Emission Power Plant

Contact Info

Product

Resources

About

Pore-Scale CO₂ Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Pore-Scale CO₂ Displacement Simulation Based on the Three Fluid Phase Lattice Boltzmann Method

Optimizing CO₂ Purification in a Negative CO₂ Emission Power Plant