Abstract:Low-permeability
reservoirs are characterized by small pore size
and a complex strata structure that present challenges and opportunities
in recovering petroleum. In this study, a new nanofluid composed of
biosurfactant and silicon dioxide (SiO2) nanoparticles,
hereby called bionanofluid, was proposed as potentially enhanced oil
recovery agent to investigate the synergy of biosurfactant and nanoparticles
on oil displacement from low-permeability reservoirs. Turbiscan Lab
was used in stabilization analysis, whe… Show more
“…The difference between the base liquids will directly affect the absorption effect of CO 2 , and the reported base fluids are listed as follows: (1) water, deionized (DI) water; 16 and (2) amine solutions, MEA, 17 methyldiethanolamine (MDEA), 18 diethanoleamine (DEA), 19 piperazine (PZ), 20 4-diethylamino-2-butanol (DEAB), 21 2-amino-2-methyl-1-propanol (AMP), 22 triethylenetetramine (TETA), 23 and MEA−MDEA. 24 In addition to the above-mentioned classification according to the type of base fluid, this review also classifies nanoparticles dispersed in a base fluid: (1) non-metallic oxide, SiO 2 25 and graphene oxide (GO); 26 (2) carbon-based adsorbent, carbon nanotubes (CNTs) 27 and multi-walled carbon nanotubes (MWCNTs); 28 (3) metal oxides, alumina (Al 2 O 3 ), 29 zinc oxide (ZnO), 30 magnesium oxide (MgO), 31 and copper oxide (CuO); 32 and (4) magnetic metal oxide, iron oxide (Fe 3 O 4 ) and ferric oxide (Fe 2 O 3 ). 33 Except for the above four types of common nanoparticles, a hybrid nanoparticle (NOHM) has been discovered in recent years.…”
Section: Classification and Preparation Of Nanofluidsmentioning
The emission of greenhouse gases, especially CO2, has
become a major cause of environmental degradation, and carbon capture,
utilization, and storage (CCUS) is a proposed solution to mitigate
its impact. Nanofluids, a relatively new method for CO2 absorption, have gained attention in recent years. This review focuses
on conventional methods for preparing nanofluids along with techniques
to improve their stability and enhance the CO2 absorption
and desorption mechanisms. Additionally, the influences of factors,
i.e., nanoparticle and base solution types as well as nanoparticle
concentration, on the CO2 absorption process are summarized.
Furthermore, models that can predict the absorption of CO2 accurately are outlined. It is found that the types of both base
liquids and nanoparticles have an important impact on the absorption
by nanofluids. In-depth studies on the predictive capabilities of
artificial intelligence (AI) models hold immense potential in this
regard. This review also puts forth effective strategies to address
prevailing challenges. This will provide a solid theoretical basis
for this field and underscore the promising potential of nanofluids
as CO2 solvents. There are still many unexplored aspects
to be considered, such as the economic viability and energy consumption
of this technology.
“…The difference between the base liquids will directly affect the absorption effect of CO 2 , and the reported base fluids are listed as follows: (1) water, deionized (DI) water; 16 and (2) amine solutions, MEA, 17 methyldiethanolamine (MDEA), 18 diethanoleamine (DEA), 19 piperazine (PZ), 20 4-diethylamino-2-butanol (DEAB), 21 2-amino-2-methyl-1-propanol (AMP), 22 triethylenetetramine (TETA), 23 and MEA−MDEA. 24 In addition to the above-mentioned classification according to the type of base fluid, this review also classifies nanoparticles dispersed in a base fluid: (1) non-metallic oxide, SiO 2 25 and graphene oxide (GO); 26 (2) carbon-based adsorbent, carbon nanotubes (CNTs) 27 and multi-walled carbon nanotubes (MWCNTs); 28 (3) metal oxides, alumina (Al 2 O 3 ), 29 zinc oxide (ZnO), 30 magnesium oxide (MgO), 31 and copper oxide (CuO); 32 and (4) magnetic metal oxide, iron oxide (Fe 3 O 4 ) and ferric oxide (Fe 2 O 3 ). 33 Except for the above four types of common nanoparticles, a hybrid nanoparticle (NOHM) has been discovered in recent years.…”
Section: Classification and Preparation Of Nanofluidsmentioning
The emission of greenhouse gases, especially CO2, has
become a major cause of environmental degradation, and carbon capture,
utilization, and storage (CCUS) is a proposed solution to mitigate
its impact. Nanofluids, a relatively new method for CO2 absorption, have gained attention in recent years. This review focuses
on conventional methods for preparing nanofluids along with techniques
to improve their stability and enhance the CO2 absorption
and desorption mechanisms. Additionally, the influences of factors,
i.e., nanoparticle and base solution types as well as nanoparticle
concentration, on the CO2 absorption process are summarized.
Furthermore, models that can predict the absorption of CO2 accurately are outlined. It is found that the types of both base
liquids and nanoparticles have an important impact on the absorption
by nanofluids. In-depth studies on the predictive capabilities of
artificial intelligence (AI) models hold immense potential in this
regard. This review also puts forth effective strategies to address
prevailing challenges. This will provide a solid theoretical basis
for this field and underscore the promising potential of nanofluids
as CO2 solvents. There are still many unexplored aspects
to be considered, such as the economic viability and energy consumption
of this technology.
“…Protection of the environment is currently a worldwide priority; thus, it is not surprising that the use of surfactants obtained from natural products is the focus of many recent studies [ 69 , 70 , 71 ]. Leaves and fruits of the Cedr or Zizyphus Spina-Christi (Middle East tree) contain many saponin compounds that are natural surfactants.…”
Section: Reviewmentioning
confidence: 99%
“…The main mechanisms involved in oil recovery improvement were wettability alteration to water-wet, IFT reduction, and mobility ratio improvement. Later, the use of rhamnolipid with silica was proposed by Wang et al [ 71 ] who also tested other natural surfactants such as sophorolipid and surfactin. Stable systems were achieved working with biosurfactant and nanoparticle concentrations below the critical micelle concentration and 1000 mg/L, respectively, in 3 %wt NaCl solutions.…”
The use of nanofluids is showing promise as an enhanced oil recovery (EOR) method. Several reviews have been published focusing on the main mechanisms involved in the process. This new study, unlike previous works, aims to collect information about the most promising nano-EOR methods according to their performance in core-flooding tests. As its main contribution, it presents useful information for researchers interested in experimental application of nano-EOR methods. Additional recoveries (after brine flooding) up to 15% of the original oil in place, or higher when combined with smart water or magnetic fields, have been found with formulations consisting of simple nanoparticles in water or brine. The functionalization of nanoparticles and their combination with surfactants and/or polymers take advantage of the synergy of different EOR methods and can lead to higher additional recoveries. The cost, difficulty of preparation, and stability of the formulations have to be considered in practical applications. Additional oil recoveries shown in the reviewed papers encourage the application of the method at larger scales, but experimental limitations could be offering misleading results. More rigorous and systematic works are required to draw reliable conclusions regarding the best type and size of nanoparticles according to the application (type of rock, permeability, formation brine, reservoir conditions, other chemicals in the formulation, etc.)
“…In recent years, proven oil reserves in low-permeability reservoirs make up a growing percentage of the totally proven oil reserves worldwide. − The main challenges associated with oil production in low-permeability reservoirs are as follows: (1) the oil production declines rapidly induced by the fast decrease in near-wellbore reservoir pressure during the primary recovery process using natural power; (2) the injection pressure increases with improved starting pressure gradient; (3) the efficiency of oil recovery with the water flooding process is poor due to low absorbing capacity . These phenomena are mostly caused by the existence of a starting pressure gradient in low-permeability reservoirs and the zones with high resistance and thick fluidity between oil and water wells .…”
Section: Introductionmentioning
confidence: 99%
“… 1 − 3 The main challenges associated with oil production in low-permeability reservoirs are as follows: (1) the oil production declines rapidly induced by the fast decrease in near-wellbore reservoir pressure during the primary recovery process using natural power; (2) the injection pressure increases with improved starting pressure gradient; (3) the efficiency of oil recovery with the water flooding process is poor due to low absorbing capacity. 4 These phenomena are mostly caused by the existence of a starting pressure gradient in low-permeability reservoirs and the zones with high resistance and thick fluidity between oil and water wells. 5 Previous studies have shown that enhancing oil recovery by gas injection (including natural gas injection, CO 2 injection, N 2 injection, air injection, flue gas injection, etc.)…”
Air injection has been proven to be an effective improved
oil recovery
technique for deep and light oil reservoirs with low permeability
and poor water injectivity. But the efficiency of air injection in
highly heterogeneous reservoirs is low due to poor gas sweeping that
may lead to early oxygen breakthrough caused by gas channeling and
viscous fingering. Foam can be used to assist air injection to overcome
the obstacles of early gas breakthrough and to increase the displacement
and sweeping efficiency. In this paper, laser-etched visual microscopic
pore models were used as microfluidic devices to study the air-foam
flooding process in porous media at reservoir temperature and high
pressure. The dynamic behaviors and relevant mechanisms of air-foam
flooding were investigated. Typical mechanisms of foam generation
in porous media are achieved in different parts of the micromodel,
which can be listed as follows: lamella leave-behind, lamella division,
and snap off. Analysis on flow states of air foam showed that foams
migrate in porous media by bursting and regenerating during the flooding
process. It can be observed that the flow mode of foam in porous media
is the separate flow of gas and liquid through microscopic displacement
experiments, suggesting that foam should not be treated as a homogeneous
phase in heterogeneous porous media. The pressing, occupying, and
selective blocking effects of foam in porous media exhibited different
oil displacement performances with the presence of various pore geometries
and networks. Tiny foams also showed stripping and carrying effects
on larger oil droplets benefiting from the lipophilicity of foam.
Through comprehensive analysis on overall and local oil displacement
mechanisms, air-foam injection could enhance the microscopic sweep
volume and improve the oil displacement efficiency.
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