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Detailed investigation on the oxidation behavior and kinetic triplet of tight oil via TG-DSC-PDSC analyses
⁎Corresponding author. china_chenyf@163.com (Yafei Chen)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University. Production and hosting by Elsevier.
Abstract
It remains some barriers for continental tight oils to enhance oil recovery owing to low or ultra-low permeability in China. Whether low temperature combustion mode (or deflagration fracturing) could be employed to expand the fracture, is an interesting but debatable topic in consideration of the not well-understood oxidation behavior and kinetic mechanism for the tight oil. This study initiated a comprehensive characterization on the oxidation behavior and kinetic triplet for the Mahu tight oil via the combination of atmospheric and pressurized thermal analyses (TG/DTG, DSC/DDSC, PDSC) and unconventional Popescu method. Threshold, peak, and end temperatures were shifted to higher temperature ranges following lower cumulative heat emission (from 13.21 to 9.15 kJ·g−1) with the heating rate increment from 5 to 15 K·min−1. Inversely, a more thorough oxidation process with higher cumulative heat releases (8.69 kJ·g−1 for LTO, 4.48 kJ·g−1 for HTO) was presented under elevated pressure condition. In order to elucidate the latent reaction mechanism, seven sequential temperature subzones were divided to acquire the most probable mechanism function G(α) and corresponding kinetic parameters. The results indicated that, owing to the high reservoir pressure, generated enormous heat in LTO stage had a significant acceleration to initiate and sustain the low temperature combustion process, which in some degree was conducive to update and expand the understanding of the low temperature in-situ combustion mode of air injection in low permeability and tight oil reservoirs via fracturing reservoir matrix.
Keywords
Tight oil
Low temperature combustion
Oxidation behavior
Kinetic triplet
High pressure differential scanning calorimetry (PDSC)
Multiple heating rates
1 Introduction
Owing to the continuous increment of crude oil demand and depletion of conventional oil reserves, an increasing attention has been paid to the tight oil resources (in-situ permeability: 0.01–0.1 mD) in past decades, which is regarded as one of the most significant unconventional resources to secure crude oil supply (Chen et al., 2022a, Du et al., 2020, Ji & Fan, 2016, Wei et al., 2020). Positive progress has also been made to explore and exploit continental tight oils in China, where resource potential and development prospect are fairly sizable and prospective (Hu et al., 2019). In recent years, tight oils have become more accessible due to the widely application of horizontal drilling and hydraulic fracturing (“fracking”) techniques. Nevertheless, the drastic decreases in formation energy and well production, result in premature abandonment of production wells leaving large amounts of remaining oil resources. Given these issues, it is urgent and vital to seek for an effective enhanced oil recovery (EOR) method to activate these resources.
As a promising and particular gas injection method, air injection process (AIP) is a fine candidate owing to the easier availability and lower cost. In addition, oxidation reactions even combustion process (auto-ignition), between the injected air and crude oil, could generate multiple advantages (thermal effect, flue-gas sweep, rapid re-pressurization, in-situ upgrade, etc.) to enhance the recovery process for the light oil reservoir (Hughes & Sarma, 2006, Pu et al., 2017b). Other than AIP in the heavy oil reservoir (in-situ combustion, ISC), the latent viscosity reduction for AIP in light oils (high pressure air injection, HPAI) was more mild and less important. Hence some researches inferred that the ignition (high temperature oxidation, HTO) mode was optional for the light oils and corresponding AIP mainly underwent the low temperature oxidation (LTO) mode. While some other researches claimed, the initiation and sustainability of the combustion process were extremely vital for the AIP in light oils to take full advantage of its recovery oil capabilities based on laboratory and field evidences (Chen et al., 2013, Hughes & Sarma, 2006, Montes et al., 2010, Zhang et al., 2020).
For the tight oil reservoir, the adverse influence of low air injection rate, during the combustion process, would be weakened and offset owing to the lower air-oil ratio requirement for the light oil than the heavy oil. In addition, the higher thermal conductivity for the rock materials (in tight oil reservoir) than the fluids (in conventional reservoir), the high -temperate and -pressure condition, and the abundant light hydrocarbons jointly made the AIP had the potential and practicability to trigger the combustion process spontaneously or artificially (Turta & Singhal, 2001). Then gas expansion and energy generation, during the combustion process, could generate in-situ micro-fractures to increase permeability and reduce water consumption for enhancing the final recovery (Kar & Hascakir, 2017). As long ago as the 1970 s, pilot projects had been implemented in America for the oil shale in-situ combustion to recover oil and gas in Rock Springs, Wyoming and south of Vernal, Utah. In 2014, an improved method, under the combustion mode, had been reported to exploit the oil shale in Nong’an, China, with 78.5 % regional oil recovery (Hutchinson, 1980, Kang et al., 2020). Nevertheless, main concern for the AIP in tight reservoirs was that how to reduce the oxygen concentration to a safety range before reaching to the production well, owing to lower oxygen consumption intensity (Zhang et al., 2020). In addition, to our knowledge, there have been rarely reported field testes on the combustion mode of AIP in tight oil reservoirs. In view of the complexity and heterogeneity of oxidation reactions and combustion processes for specific crude oils, it was indispensable and fundamental to characterize the oxidation behavior and kinetic mechanism for selected tight oil, which directly affected the scheme interpreting and potential performance for the combustion mode of AIP in tight oil reservoirs.
Considerable attention has been received for the AIP in light oil reservoir as a promising EOR method, since the successes of several projects within the Williston Basin (Denney, 2011, Pu et al., 2017b, Turta & Singhal, 2001). The application of thermal analysis techniques had been extensively accepted by researchers on studying the oxidation-combustion behavior and kinetics of crude oils for a long time (Chen et al., 2021, Chen et al., 2019b, Cheng et al., 2020, Kok, 1993, Kök, 2008, Pu et al., 2017a). Abu-Khamsin et al. investigated the spontaneous ignition feasibility of a super light crude oil with the adiabatic packed-bed reactor, and various process parameters were analyzed to identify the set of conditions that would lead to the spontaneous ignition of the sand-oil mixture (Abu-Khamsin et al., 2001). Analogously, Tiffin et al. (Yannimaras & Tiffin, 1995) adopted the adiabatically controlled calorimeter (ARC) to evaluate candidate oils for potential air injection via the detection of exothermic continuity presented between LTO and HTO zones. Moreover, they found only some light oils were suitable for the combustion mode at temperature higher than 673 K. In order to picture which oils were basically fit for LTO and HTO respectively, relevant kinetic parameters in each stage were evaluated for light oils via the oxidation cell. And the investigation allowed a quantitative study of the temperature intervals at which evaporation, oxidation, and combustion influences operated for each oil fraction (Al-Saffar et al., 2001). Kok and Bagci (Kok & Bagci, 2004) studied the combustion and kinetic of a light crude oil with copper chloride and magnesium chloride presences by thermogravimetry–differential thermal analysis (TG-DTA). Three reaction stages were identified, known as distillation, LTO and HTO. Furthermore, via TG-DTA, the oxidation behaviors of specific oil components were investigated using the thermal fingerprinting effects on pure paraffin samples and their mixtures. The results indicated that the lower molecular mass samples showed lower onset temperatures for oxidation reactions, and exothermic peak temperatures shift to higher temperatures with increasing molecular mass (Li et al., 2004). It can be inferred that the oxidation process and auto-ignition potential was more easily triggered and sustained for the light crude oil owing to a large proportion of light hydrocarbons.
Although extensive researches have been implemented for the oxidation behaviors and kinetic mechanisms during AIP in light oil reservoirs, the heterogeneous natures of tight oil resources, associated to the depositional environment and lithology, make it more complex and un-referable to apply the AIP in specific tight oil reservoir. On the other hand, the oxidation behavior and kinetic mechanism, under the non-isothermal condition, remain controversial and blind spots for the tight crude oil, which directly affects how researches understand and interpret the oxidation-combustion mode of AIP in tight oil reservoirs. Under this background, this paper aimed to elaborate the non-isothermal oxidation behavior, investigate the ambient pressure and heating rate influences, and determine the corresponding kinetic triplet (reaction model, activation energy, and frequency factor) in specific temperature ranges for Mahu tight light crude oil. In order to reduce the deviation of differential and integral models and clarify the variation trend of kinetic mechanisms, a novel model was employed to determine kinetic triplets in sequential oxidation temperature subzones for three oxidation regions. The obtained results could provide a more profound understanding on the tight oil oxidation process under pressurized condition and serve as theoretical guidance and fundamental support for the low temperature combustion mode of AIP application in the tight oil reservoir to enhance oil recovery.
2 Material and methods
2.1 Material preparation
Studied light crude oil was from the Mahu tight conglomerate oil reservoir, Xinjiang oilfield. Prior to the experiments, purification and centrifugation procedures were conducted for the oil sample based on the industry standards. Then its fundamental properties, including hydrocarbon distribution (Agilent 7890B gas chromatograph, in the Supporting Information in Fig. S1), viscosity (Anton Paar MCR 302, in Fig. S2), element analysis (C, H, O, N, and S), SARA (saturates, aromatics, resins, and asphaltenes) results, and density (Anton Paar DMA HPM) were respectively obtained to provide a basic understanding, as shown in Table 1 (Chen et al., 2022b).
Density @300 K
(g·cm−3)Viscosity @300 K
(mPa·s)Element analysis (Mass%)
SARA composition (Mass%)
C
H
O
S
N
C/H
Sa
Ar
Re
As
0.834
5.03
85.4
13.3
0.80
0.30
0.20
0.535
54.1
34.3
8.4
3.2
2.2 TG-DSC analysis
Thermogravimetry (TG), differential thermogravimetry (DTG) coupled with differential scanning calorimetry (DSC) experiments were performed using the Netzsch STA 449 simultaneous thermal analyzer system (Germany) with the heating rates of 5, 10, and 15 K·min−1 from the room temperature to 973 K. For each experiment, a small quantity of oil sample (10 ± 0.1 mg) was loaded into the reactor with the dry air rate of 50 mL·min−1. To eliminate the experimental error caused by buoyancy influences, corresponding blank experiments were conducted under identical conditions to acquire the baselines. In addition, each thermal analysis experiment was repeated at least twice times to guarantee the repeatability and accuracy (Chen et al., 2021).
2.3 PDSC analysis
Pressurized differential scanning calorimetry (PDSC) experiments were conducted with the Netzsch DSC 204 HP system (Germany). During the experiment and heating process, a spring-action purge valve was fitted to the exhaust line to maintain constant pressures. Prior to experiments, thermal analysis system was calibrated as mentioned in previously (Dunn & Fuels, 2012, Dunn, 2006). For constant heating rate experiments (10 K/min), the amount (1.0 ± 0.01 mg) of oil sample and temperature range (room temperature to 873 K) were parallel to evaluate the pressure variation of 1.0, 3.0, and 5.0 MPa. Before the start of heating, an equilibrium time of about 2.0 min was suggested to improve the baseline accuracy. Similarly, each experiment was performed twice times under the same experimental condition.
2.4 Non-isothermal kinetics theory
Based on Vyazovkin et al. (Vyazovkin, 2001, Vyazovkin et al., 2011), a simplified equation was generally recommended, where the reaction rate (dα/dt) only depended on two independent parameters, namely the conversion function, f(α), and temperature function, k(T), as follows:
In this equation, α, t, and T were respectively corresponding to the conversion extent, reaction time, and reaction temperature. Accordingly, the Arrhenius rate constant was k(T), and the reaction model function, f(α), reflected the corresponding reaction mechanism.
For the non-isothermal process with the linear heating program, it existed that (Chen et al., 2019b):
where β was the heating rate. Besides, k(T) could be derived from the Arrhenius theory (Flynn, 1991, Flynn, 1997, Vyazovkin, 2001).
Combined above equations, following equations were derived to characterize the non-isothermal reaction mechanism (Chen et al., 2019b):
Therein, activation energy, gas constant, and pre-exponential factor were respectively aliased as A, E, and R. To acquire E and A, model-fitting and model-free methods were gradually evolved, which were stated in previous literatures detailedly (Flynn, 1997, Pu et al., 2017a, Vyazovkin, 2001, Vyazovkin et al., 2011).
2.5 Methodology to determine the kinetics triplet
To determine kinetics triplet (A, f(a), and E) was an interlinked problem, during which a deviation in the confirmation of any of three parameters could cause a difference in the other parameters of the triplet. Therefore it was critical to calculate the triplet by one parameter determination of kinetics triplet with high precision, as comprehensive analysis and retrospection in previous (Starink, 2003). Owing to the systematic error and some new measurement uncertainties respectively caused by the integral and differential iso-conversional methods, the preferable method should be optimized and selected via the contrastive estimation of the deviation degree between the integral and differential methods (Chen et al., 2019b, Vyazovkin & Wight, 1999). In this study, the novel integral method, proposed by Popescu (Popescu, 1996), was adopted to determine the kinetic triplet of the tight oil, which was based on the experimental data eliminating any proximate error of temperature integral, P(u). It was demonstrated satisfactory results for its applications in organics (heavy oil, coal, oil shale, and biomass) pyrolysis and combustion processes, and the detail of this method was shown in the Supplement material, which had been expounded in our previous studies (Chen et al., 2019b, Hu, 2016, Popescu, 1996).
3 Results and discussion
Based on non-isothermal oxidation experiments under atmospheric and pressurized conditions, this study discussed the oxidation behavior, kinetic characteristic, influences of the heating rate and atmospheric pressure, and kinetic triplet to comprehensively expound the oxidation process and preliminarily evaluate the application feasibility and prospect of AIP with low temperature combustion mode in Mahu tight conglomerate oil reservoir.
3.1 Oxidation behavior characterized by TG-DSC analysis
3.1.1 TG-DTG analysis
Non-isothermal oxidation TG-DTG curves with three heating rates were shown in Fig. 1. In good accordance with previous literatures (Chen et al., 2019b, Kok, 1993, Kök, 2008, Kok & Bagci, 2004, Pu et al., 2017a), the oxidation process of Mahu tight oil subdivided into three regions, i.e., LTO, FD, and HTO stages, analogous to the heavy oil. However, the mass-loss behaviors, initial and final temperatures at each reaction stage for Mahu light oil were different from the heavy oil. In addition, a more pronounced distillation process, prior to oxygen addition reactions, was presented for the tight oil owing to more light hydrocarbons. Table 2 summarized major characteristic parameters from TG-DTG curves, in some degree, implying the reaction path, main mode, and reaction intensity for the non-isothermal oxidation process (Pu et al., 2017a).Mass loss and its mass loss rate curves for the tight oil under different heating rates.
Heating rate/
(K·min−1)LTO
FD
LTO
Interval/K
Peak temperature/K
Mass loss/wt%
Interval/K
Peak temperature/K
Mass loss/wt%
Interval/K
Peak temperature/K
Mass loss/wt%
5
<639.2
433.5, 519.8, 574.2
93.420
639.2–666.2
/
1.259
>666.2
685.1, 748.1
3.046
10
<642.7
424.0, 531.4
92.600
642.7–689.7
/
1.382
>689.7
766.6
4.446
15
<645.8
451.8, 570.7
89.901
645.8–789.9
724.9
7.12
>789.9
868.9
0.776
Under 10 K·min−1, there existed a mild distillation process for oil components (C3-C6) at relatively low temperatures (<373 K) in consideration of the boiling temperature of n-C7H16, 371.45 K. Hence, the first stage, LTO, occurring in 303–642 K, included the distillation/volatilization reactions (<373 K) and oxidation addition reactions (100–642.7 K), during which heterogeneous reactions between the oil and O2 were dominant. Moreover, vapor-phase oxidation, during the distillation process, was considered as a crucial influence on the fast oxidation, which under actual reservoir condition contributed the spontaneous combustion potentially (Freitag, 2016). While complicated oxidation addition reaction, involving the formation, growth, and disappearance of free radicals, leaded to ∼ 92.60 % mass loss at 642.7 K, and this process only leaded to a mild viscosity increment owing to the mutual influence between the condensation and breakage reactions. This partly supported the potential application of AIP in low permeability reservoirs. It was notable that the leading reaction process was dependent on specific oil properties and oxidation conditions.
A relatively mild fuel deposition (FD), ∼1.382 % mass loss, was detected for this tight oil with a placid fluctuation in DTG curve. Generally, LTO products underwent the re-oxidation, condensation, and aromatization reactions to form coke precursors. For the light oils, the intensity and continuity of coke deposition was not the limiting factor to initiate the combustion process. If LTO exothermic intensity and exothermic continuity were enough to trigger the fast oxidation of light fractions or vapor-phase hydrocarbons, the spontaneous combustion process could be appeared. Besides, the generated net heat under the low temperature region would be reinforced by the high pressure condition of the actual oil reservoir compared with the atmospheric condition (Fan et al., 2015, Huang & Sheng, 2018, Pu et al., 2017b). Especially, no obvious boundary and conversion was detected between LTO and FD stages for the light oil, indicating specific region division in Table 2 was just used to qualitatively depict the tight oil oxidation process. Compared with specific values, it was more significant and practical to focus on the trend variation.
During 689.7–973 K, drastic bond cleavage reaction, namely combustion process, was dominant to generate CO2, CO, H2O, and heat. But the mass loss (∼4.446 wt%) and mass loss rate at HTO region were far less than those at LTO stage, which was different from the heavy oil in our previous study and ascribed to abundant light hydrocarbon components in this tight oil (Chen et al., 2018). Naturally, it could be inferred that the thermal effect and in-situ upgrading process were weak and dispensable for the conventional light oil reservoir. However, for the tight light oil, should the gas-phase combustion of the light hydrocarbons and subsequent combustion process be triggered and maintained, the generated exothermic effect would fracture the glutenite matrix and create micro-fractures to in-situ upgrade the permeability and improve the EOR, whose derived technique has been applied in oil shale reservoirs (Kang et al., 2020, Kar & Hascakir, 2017).
3.1.2 DSC-DDSC analysis
DSC-DDSC curve could quantify the thermal effect, including the heat flow (DSC), heat flow rate (the first derivative of DSC curve, DDSC), and cumulative heat release (reaction enthalpy), which was expressed as follows,
where Ht and θ(t) respectively represented the already produced heat and corresponding heat flow at time t (Chen et al., 2019a, Chen et al., 2019b, Pu et al., 2017a, Wang et al., 2018).
Fig. 2 showed that the LTO peak heat flow, under 10 K·min−1, was obviously higher (4.45 mW·mg−1) than that (3.32 mW·mg−1) in HTO stage. From the relevant DDSC curve, the trend and intensity of the heat flow rate were more advantageous and violent to reflect the exothermic process at LTO stage. In addition, corresponding lower LTO and higher HTO peak temperatures for Mahu tight light oil, compared with those for Tahe heavy oil in previous references (Chen et al., 2019b, Pu et al., 2017a), indicated that the LTO mode was mainly considered and dominant for the AIP in light oil reservoirs.Heat flow and its rate (DSC-DDSC) curves for the tight oil under different heating rates.
Based on Eq. (6), cumulative heat released curves were presented in Fig S3 under different heating rates, and specific data was summarized in Table 3.
Heating rate/
(K·min−1)LTO
FD
HTO
Interval/K
Peak temperature/K
Reaction enthalpy/(KJ·g−1)
Peak temperature/K
Reaction enthalpy/(KJ·g−1)
Interval/K
Peak temperature/K
Reaction enthalpy/(KJ·g−1)
5
<643.5
603.5
2.97
/
0.396
>670.0
740.5
4.49
10
<663.5
609.0
1.76
/
0.539
>711.0
790.0
2.03
15
<702.5
613.5
1.68
/
0.391
>733.5
799.0
1.44
Two obvious stages were identified based on the heat flow fluctuation. As for the down-drift trend during initial LTO process (303–493 K), it was supposedly attributed to the distillation of light components (intercellular water, lighter hydrocarbon, and oxidative products), which was consistent with previous researches on conventional light oils (Kök et al., 2020, Wang et al., 2018). During main oxidation process, a gradual increase trend was presented for the cumulative heat released curves and corresponding reaction enthalpies were respectively 1.76 kJ·g−1 (LTO) and 2.03 kJ·g−1 (HTO) under 10 K·min−1. It was remarkably that, a very slight exothermic process was identified in FD region owing to the coupled effect of intricate thermal cracking and poly-condensation reactions.
3.1.3 Heating rate influence
There was an evident effect for differential heating rates on the non-isothermal oxidation process and corresponding reaction mechanisms, as respectively shown in Fig. 1 and Fig. 2.
With the heating rate increasing, TG/DSC curves deviated to high temperature with higher peak values, while corresponding DTG/DDSC curves were towards a lower position. Specifically, trigging temperatures, peak temperatures, peak heat flows, and region intervals were moved to higher temperature upper limits and narrower temperature ranges, corresponding to greater mass/heat loss rates, and higher peak oxidation rates, as shown in Table 2 and Table 3. This was owing to that, a worse heat provision and conversion efficiency was caused under higher heating rate, which consequently resulted in a less-effective reaction with worse mass loss. In the meantime, light hydrocarbon fractions would be oxidized under a higher temperature, which increased mass loss rate, peak and burnout temperatures owing to a shorter reaction time (Chen et al., 2019b, Pu et al., 2017a). Besides, the temperature shift and increase of DTG curves were also verified via the following Eq. (7) (Vyazovkin et al., 2011).
As for the variation of cumulative released heat under high heating rate, the higher thermal hysteresis and lower heat conversion efficiency would generate a more ungenerous reaction process owing to a shorter reaction time for the same temperature gradient. Consequently, peak and end temperatures were detected at higher temperature zones with a decreasing trend of the cumulative released heat respectively in LTO and HTO regions, as shown in Table 3 (Chen et al., 2019b, Pu et al., 2017a, Yin et al., 2016).
3.2 Pressurized exothermic behavior characterized by PDSC analysis
To better expound the exothermicity behavior of Mahu tight light oil under the high pressure condition, PDSC experiments had been implemented to reflect the high pressure condition of the actual oil reservoir.
3.2.1 PDSC analysis
Under the heating rate of 10 K·min−1, PDSC curve and contrastive DSC curve were shown in Fig. 3 simultaneously. Two main exothermic stages (303–578 K for LTO, 578–732 K for HTO) were apparently detected for the PDSC, in accordance with the trend in DSC. However, there respectively existed higher peak heat flows and heat enthalpies (8.69 kJ·g−1 for LTO, 4.48 kJ·g−1 for HTO), corresponding to lower threshold and ending temperatures and narrower temperature intervals, compared with those (1.76 kJ·g−1 for LTO, 2.03 kJ·g−1 for HTO) in DSC curve. This implied that, the initiation and progress of the oxidation process, especially for the LTO, were promoted and strengthened under the pressurized condition, which was consistent with previous researches (Dunn & Fuels, 2012, Dunn, 2006, Kök, 2008), and would be analyzed and interpreted in the subsequent section.DSC and PDSC curve comparison for the tight oil (10 K·min−1).
Moreover, the first two exothermic peaks (20.35 mW·mg−1, 18.03 mW·mg−1) were recognized in the range of 483–578 K, which may be attributed to the LTO process, while the third lower peak (578–593 K) was considered as the HTO exothermic peak (16.79 mW·mg−1), indicating a more complicated and drastic LTO exothermic process under pressurized condition. Although, the first peak heat flow (20.35 mW·mg−1) was higher than the second (18.03 mW·mg−1), the corresponding released heat (5.32 kJ·g−1) for the second peak was instead greater than the first (3.30 kJ·g−1). It could be explained that, the first LTO exothermic region was mainly contributed to the enhancement of gasification phase oxidation reaction under pressurized condition. Different from the heavy oil, the light oil contained abundant light aliphatic hydrocarbons without oxidation inhibitors (aromatics), which were much more volatile than the lightest aromatic compounds to undergo very rapidly oxidation process in gas phase.
However, with the temperature increasing and the gas-phase reaction terminating, the heat flow trend was decreasing and the liquid-phase oxidation reactions were gradually predominant with a lower heat flow rate (at 503–528 K) to initiate the RO2• (alkyl-peroxy free radical) generation. Then many reaction pathways, such as hydrogen abstraction, addition to unsaturated molecules, and decomposition to alcohols, aldehydes, and/or ketones, were evolved with an increasing rate of heat release to form the second LTO exothermic peak (Freitag, 2016, Sarma et al., 2002). The difference and intensity of heat flow variations in LTO and HTO processes implied that, if the rapid vapor-phase oxidation, with considerable heat generation, was enough to trigger the subsequent oxidation process, the complete oxidation in low temperature (spontaneous combustion) would become possible for the actual high pressure oil reservoir.
3.2.2 Atmosphere pressure influence
Fig. 4 and Fig. 5 respectively illustrated the influence of different experimental pressures (1.00, 3.00, and 5.00 MPa) on the heat flow and cumulative released heat under the same heating rate of 10 K·min−1.Heat flow curves for the tight oil under different pressures (10 K·min−1).
Cumulative heat released curves for the tight oil based on PDSC curves.
With the atmosphere pressure increment, the increasing trends were distinguished for the peak heat flows and cumulative released heat. Specifically, the cumulative generated heat from the oxidation process was respectively 4.32, 10.60, 13.10, and 18.00 kJ·g−1 under the pressure of 0.10, 1.00, 3.00, and 5.00 MPa, exhibiting a positive correlation with the atmosphere pressure (R2 = 0.873, in Fig. 6), which was consistent with previous researches (Dunn, 2006, Fan et al., 2015, Sarma et al., 2002).The relationship of the cumulative heat generated vs. atmosphere pressure.
It could be mainly owing to that, the diffusion degree between the oil and O2 was improved with the elevated pressure to amplify the oxidation progresses in the vaporized and liquid phases. On the other hand, the endothermic effect, caused by the distillation process, was obviously weakened and it resulted in a higher amount of crude oil to undergo the exothermic reactions rather than be blew away by the air flow. Besides, it was inferred that, the released heat would produce much slowly at higher pressure, since total heat release reached the upper limitation when the whole oil sample was completely oxidized.
Furthermore, the increment of released heat in LTO stage was much higher than that in HTO region under pressurized atmosphere. It was in a certain extent indicated that, for the AIP in light oil reservoirs, considerable heat generated in LTO region had a significant contribution on the initiation and duration of the spontaneous combustion or low temperature combustion process, which was a novel method to improve the permeability of low-permeability and tight oil reservoirs. Frankly speaking, great efforts were highly made to study the LTO mechanism and investigate the low temperature combustion potential under elevated pressure condition.
3.3 Kinetic triplet determination
3.3.1 Most probable mechanism function determination
In this section, latent mechanism function variation, under specific oxidation temperate subinterval (323–823 K), was determined via the Popescu method, which was specifically divided into LTO (323–823 K), FD (628–696 K), and HTO (696–823 K) stages. Based on the consensus, Table 4 listed 20 type probable mechanism functions to screen the most probable G(α) (Chen et al., 2019b, Mishra & Bhaskar, 2014). If certain G(α) function was considered as the most probable mechanism function, corresponding correlation coefficient (R2) of the fitting curve should approach towards 1.0 simultaneously with the intercept and standard deviation (rSD) tending to zero, as briefly exampled in Fig. S5.
No.
Reaction model
Symbol
f(α)
G(α)
1
Power law
P4
4α3/4
α1/4
2
P3
3α2/3
α1/3
3
P2
2α1/2
α1/2
4
P2/3
1.5α3/4
α3/2
5
One-dimensional diffusion
D1
1/2α-1
α2
6
Valens equation
D2
[-ln(1-α)]-1
α+(1-α)ln(1-α)
7
Jander equation
J-D3
1.5(1-α)2/3[1-(1-α)1/3]-1
[1-(1-α)1/3]2
8
Anti-Jander equation
AJ-D3
1.5(1 + α)2/3[(1 + α)1/3-1]-1
[1-(1 + α)1/3]2
9
Zhuralev, Lesokin, Tempelman equation
Z-L-T
1.5(1-α)4/3[1/(1-α)1/3-1]-1
[1–1/(1-α)1/3]2
10
Avrami-Erofeev
A1, F1
1-α
-ln(1-α)
11
A1.5
1.5(1-α)1.5[-ln(1-α)]1/3
[-ln(1-α)]2/3
12
A2
2(1-α)[-ln(1-α)]1/2
[-ln(1-α)]1/2
13
A3
3(1-α)[-ln(1-α)]2/3
[-ln(1-α)]1/3
14
A4
4(1-α)[-ln(1-α)]3/4
[-ln(1-α)]1/4
15
Phase boundary controlled equation
R1
Constant
α
16
R2
2(1-α)1/2
1-(1-α)1/2
17
R3
3(1-α)2/3
1-(1-α)1/3
18
1.5th order
F1.5
(1-α)3/2
0.5(1-α)-1/2
19
2nd order
F2
(1-α)2
(1-α)-1-1
20
3rd order
F3
(1-α)3
0.5[(1-α)-2-1]
In LTO region, three temperature subzones (323–423 K, 423–533 K, 533–628 K) were determined to evaluated corresponding G(α), and Table 5 listed some most probable G(α) with detailed fitting process in Fig. 7.
Sub-zones
Potential Model
Linear fitting results
Optimal Model
Intercept
R2
rSD
First subzone
Tm = 323 K
Tn = 423 KD1
0.01880
0.99024
0.02789
J-D3
D2
0.00851
0.99220
0.01649
J-D3
0.00159
0.99400
0.00436
AJ-D3
0.00219
0.98745
0.00240
Z-L-T
0.00062
0.99680
0.00617
Second subzone
Tm = 423 K
Tn = 533 KP4
0.22376
0.98183
0.01694
P4
P3
0.27391
0.96283
0.01905
P2/3
0.34683
0.88235
0.01984
Third subzone
Tm = 533 K
Tn = 628 KD2
0.41603
0.99406
0.00336
D2
A2
0.51567
0.90327
0.01321
A3
0.32452
0.90766
0.00186
F3
−5.09457
0.93608
55.16559
Tm = 323 K
Tn = 628 KP4
0.65909
0.88008
0.02060
P2
P3
0.75078
0.90032
0.01765
P2
0.84711
0.97672
0.00860
F3
−3.35237
0.93453
56.74881
Comparisons of different mechanism functions, G(a), employed to reflect the oxidation behavior in sequential oxidation temperature subzones (323–628 K).
Generally, it was observed that more than one probable mechanisms could depict specific oxidation behavior. Via the common consideration of R2 and rSD, the dominant mechanism in each subzone would be determined via the selection of optimal function models. Briefly, the most probable functions in specific LTO subzones were respectively Jander equation (J-D3), Power law (P4), and Valens equation (D2), indicating the complexity of specific oxidation reactions. As a whole, the LTO process was guided by the nucleation mechanism (P2), consistent with the leading oxidation addition reaction to form concentrated oxides.
Analogously, specific FD and HTO temperature subzones were determined to evaluate corresponding mechanism functions, as shown in Table 6 and Table 7 with specific fitting processes in Fig. S6 and Fig. S7 respectively.
Sub-zones
Potential Model
Linear fitting results
Optimal Model
Intercept
R2
rSD
First subzone
Tm = 628 K
Tn = 668 KJ-D3
0.10475
0.99511
0.00640
J-D3
A1
0.59954
0.99508
0.10931
A1.5
0.29609
0.99903
0.03326
A2
0.19038
0.99988
0.01578
F1.5
0.31677
0.99747
0.43097
Second subzone
Tm = 668 K
Tn = 696 KJ-D3
0.31023
0.98846
0.06769
R2
A4
0.21745
0.98001
0.04704
R2
0.15298
0.99899
0.03513
R3
0.20603
0.99733
0.04583
Tm = 628 K
Tn = 696 KJ-D3
0.15524
0.98420
0.06135
R3
A4
0.29271
0.98049
0.04370
R2
0.23932
0.99425
0.04078
R3
0.29511
0.99917
0.04655
Sub-zones
Potential Model
Linear fitting results
Optimal Model
Intercept
R2
rSD
First subzone
Tm = 696 K
Tn = 743 KZD3
0.27853
0.99829
0.17511
F1.5
F1.5
0.16378
0.93414
0.04160
F2
1.49536
0.99943
1.24183
F3
−13.04072
0.99815
41.2330
Second subzone
Tm = 743 K
Tn = 823 KZD3
−1.55114
0.94214
1.36099
F1.0
F1
−0.18774
0.90185
0.23778
F1.5
−0.40067
0.93214
0.38707
F2
−11.56360
0.94405
9.83974
F3
−507.4739
0.94969
386.7812
Tm = 696 K
Tn = 823 KF1.5
−0.23689
0.93233
0.42866
F1.5
F2
−10.06824
0.95442
11.06859
F3
−520.5146
0.96022
427.33070
It was observed that J-D3 (three-dimensional diffusion mechanism) and R2 (contracting cylinder mechanism) were the most probable functions corresponding to specific FD temperature subzones, which respectively reflected the addition reaction and coke deposition process. This was in a certain extent illustrated that, the in-depth oxygen addition reaction had a significant acceleration on the progress of dehydrogenation, polymerization, and aromatization reactions to generate coke.
As for HTO stage, the reaction order models (F1.5 for the first subzone, F1.0 for the second subzone) were the most probable functions, and the whole HTO process followed the 1.5-order reaction model (F1.5), indicating that the first subzone was more dominant rather than the second subzone. Moreover, it could be inferred that two different types of cokes were produced and contributed to the combustion with different reactivity and mechanism functions, which was in accord with previous researches and still needed further study (Cinar et al., 2011).
3.3.2 Kinetic parameters (E, A) calculation
Based on Tn, Tm, and corresponding G(α) in specific temperature subzones, activation energy variations could be determined and were presented in Fig. 8.Activation energy variation for the Mahu tight light oil during the oxidation process.
For the conversion rate α < 0.35, a linear rising tendency was observed for the activation energy owing to the distillation process under low temperature region. With the temperature increment, there was a progressive increase trend followed by a mild peak of the activation energy (α = 0.6–0.65) to promote the LTO process with partial oxide generation. Then an obvious peak of the activation energy in α = 0.75–0.94 was observed and mainly ascribed to the negative temperature gradient region (NTGR), which was associated with the upper region of the LTO and not as significant as for heavy oils (Chen et al., 2019b, Freitag, 2016). Subsequently, enormous energy was required to initiate the coke deposition with a sharp peak in α = 0.94–0.98.
Since the amount of deposited coke was slight for tight light oil, few sample had undergone the HTO with slight activation energy variation. Furthermore, in consideration of the coadjutant connection between f(α) and k(T), a positive relationship, namely “compensation effect”, was determined for the E and A as shown in Fig. 9.Relationship of the E and lnA for Mahu tight light oil.
3.3.3 Reaction rate constant, k(T), estimation
Based on the determined mechanism functions in sequential temperature subzones, the corresponding rate constant, k(T), could be calculated via the kinetic parameters in specific oxidation temperature subzones, as shown in Table 8. It was worth noting that, the lower values of the frequency factor in 628–696 K were probably associated with the more difficult and weaker coke deposition process for the tight oil.
Subzones(K)
E(kJ·mol−1)
A(min−1)
k(T)
323–423
44.142
1.940E + 03
1.940E + 03exp(-5.309/T)
423–533
57.045
2.085E + 04
2.085E + 04exp(-6.861/T)
533–628
65.638
1.878E + 05
1.878E + 05exp(-7.895/T)
628–668
76.996
9.204E + 03
9.204E + 03exp(-9.261/T)
668–696
98.108
6.805E + 04
6.805E + 04exp(-11.800/T)
696–743
72.094
1.073E + 06
1.073E + 06exp(-8.671/T)
743–823
66.988
1.965E + 05
1.965E + 05exp(-8.057/T)
4 Conclusions
In this work, based on the non-isothermal thermogravimetric analysis, kinetic theory, and unconventional Popescu method, a preliminary evaluation of the high pressure air injection with low temperature combustion mode in Mahu tight oil reservoir had been evaluated and the following understandings could be obtained.
The LTO process was predominant for Mahu tight oil with 92.60 % mass loss and 4.45 mW·mg−1 peak heat flow at 10 K·min−1, owing to more light hydrocarbons and less heavy components (resins and asphaltenes). In addition, higher peak heat flows and heat enthalpies (8.69 kJ·g−1 for LTO, 4.48 kJ·g−1 for HTO) were presented in PDSC curve with lower threshold and ending temperatures and narrower temperature intervals, compared with those (1.76 kJ·g−1 for LTO, 2.03 kJ·g−1 for HTO) in DSC curve. Moreover, elevated pressure condition had a more promotion for the heat flow and cumulative heat release in LTO stage rather than HTO region.
Heating rate increment would result in less-effective oxidation reactions with less mass loss and cumulative heat release in corresponding oxidation regions. While increasing atmospheric pressure could amplify the oxidation progress. Besides, considerable heat generation under the actual reservoir condition would make it possible to trigger the combustion process in relatively low temperatures (spontaneous combustion) with the matrix rupture and permeability improvement.
Seven temperature subareas were split and evaluated to extract specific mechanism functions G(α), and selected most probable mechanism functions could effectively reflect the specific oxidation process. Moreover, specific reaction regions could be identified via the curve variation of calculated activation energies. Additionally, kinetic parameters (E and lnA) existed a linear relationship to reflect the “compensation effect” for the tight oil oxidation.
Acknowledgements
This work was supported by the Science and Technology Project of Chongqing Municipal Education Commission (KJQN202200841, KJQN202200812, KJQN202000830, KJQN20200827), and Chongqing Technology Innovation and Application Development Project (cstc2019jscx-gksbX0032). Besides, the authors also thank the Xinjiang oilfield company, CNPC for providing samples.
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.
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Appendix A
Supplementary data
Supplementary data to this article can be found online at https://doi.org/10.1016/j.arabjc.2023.104947.
Appendix A
Supplementary data
The following are the Supplementary data to this article:Supplementary data 1
Supplementary data 1