Geofluids

Geofluids / 2021 / Article

Research Article | Open Access

Volume 2021 |Article ID 5589543 | https://doi.org/10.1155/2021/5589543

Xianhong Tan, Wei Zheng, Taichao Wang, Guojin Zhu, Xiaofei Sun, Xiaoyu Li, "The Supercritical Multithermal Fluid Flooding Investigation: Experiments and Numerical Simulation for Deep Offshore Heavy Oil Reservoirs", Geofluids, vol. 2021, Article ID 5589543, 17 pages, 2021. https://doi.org/10.1155/2021/5589543

The Supercritical Multithermal Fluid Flooding Investigation: Experiments and Numerical Simulation for Deep Offshore Heavy Oil Reservoirs

Academic Editor: Basim Abu-Jdayil
Received19 Jan 2021
Accepted25 May 2021
Published15 Jun 2021

Abstract

The supercritical multithermal fluids (SCMTF) were developed for deep offshore heavy oil reservoirs. However, its EOR mechanisms are still unclear, and its numerical simulation method is deficient. In this study, a series of sandpack flooding experiments were first performed to investigate the viability of SCMTF flooding. Then, a novel numerical model for SCMTF flooding was developed based on the experimental results to characterize the flooding processes and to study the effects of injection parameters on oil recovery on a lab scale. Finally, the performance of SCMTF flooding in a practical deep offshore oil field was evaluated through simulation. The experiment results show that the SCMTF flooding gave the highest oil recovery of 80.89%, which was 29.60% higher than that of the steam flooding and 11.09% higher than that of SCW flooding. The history matching process illustrated that the average errors of 3.24% in oil recovery and of 4.33% in pressure difference confirm that the developed numerical model can precisely simulate the dynamic of SCMTF flooding. Increases in temperature, pressure, and the mole ratio of scN2 and scCO2 mixture to SCW benefit the heavy oil production. However, too much increase in temperature resulted in formation damage. In addition, an excess of scN2 and scCO2 contributed to an early SCMTF breakthrough. The field-scale simulation indicated that compared to steam flooding, the SCMTF flooding increased cumulative oil production by 27122 m3 due to higher reservoir temperature, expanded heating area, and lower oil viscosity, suggesting that the SCMTF flooding is feasible in enhancing offshore heavy oil recovery.

1. Introduction

The decline of light oil production and the exhaustion of onshore heavy oil resources lead to an increasing demand of offshore heavy oil [1, 2]. Due to high but the temperature-dependent viscosity, the development regimes of offshore heavy oil, especially for oil with viscosity exceeding 350 mPa·s, can only be effectively extracted by thermal methods [3, 4].

The steam injection is the most successful and worldwide thermal method and has been applied in many offshore oil fields, such as Bohai field in China and Bressay field and Bentley field in the UK [5, 6]. However, for deep offshore heavy oil reservoirs, injected steam has low quality, leading to an inefficient heavy oil production [6]. Therefore, there is an urgent need of a new effective thermal agent for deep offshore heavy oil.

Recently, the supercritical multithermal fluids (SCMTF), which is composed of supercritical water (SCW), scN2, and scCO2, were produced by a newly designed generator to develop deep offshore heavy oil [7]. The generation of SCMTF is realized by the gasification of produced waste water and combustion of gasification product in SCW [8]. In contrast of steam, SCMTF has the following advantages: (1) the produced waste water is utilized as feedstock for SCMTF generation, which reduces the disposal cost of waste water, and the fuel cost for steam generation; (2) the SCMTF generator occupies small areas of land, which is more convenient than the large-scale steam generator considering the narrow space of offshore platforms; and (3) the temperature and dryness fraction of SCMTF is much higher than that of steam. Therefore, it is inferred that the SCMTF is superior to steam in enhancing deep offshore heavy oil recovery.

As a special thermodynamic state of water (°C and  MPa), SCW can behave as an organic solvent with a good solubility of hydrocarbon [9, 10] and substantially increase oil mobility by upgrading [1113]. Inspired by this favourable feature, Zhao et al. studied the viability of SCW flooding on heavy oil recovery by experiments and confirmed that SCW flooding is capable of enhancing heavy oil recovery [14]. They also proposed that the main EOR mechanisms of SCW flooding were miscible flooding, heavy oil upgrading, and override suppression [15, 16]. Yin et al. reported the implementation of cyclic SCW stimulation in Tuha oil field, China, which sharply increased the oil production rate from 1.9 t/d to 10 t/d [17]. Yang noted that the SCW injection was put into practical use in Lukeqin oil field and the oil production rate was hence improved from 2.3 t/d to 12 t/d [18]. Liu et al. described an application of cyclic SCW stimulation in Liaohe oilfield, increasing cyclic oil production by 8524 t [19]. Zhang et al. reported the cyclic SCW stimulation application in Shengli oilfield, resulting in a 48% increment in oil production [20]. These investigations indicated that the SCW injection can effectively produce heavy oil from deep reservoirs.

In addition, previous literatures indicated that the efficiency of thermal methods can be improved by utilizing noncondensable gases such as CO2, N2, and flue gas. Wang et al. assessed the performance of CO2-assisted SAGD (Steam Assisted Gravity Drainage) process by experiments and found that CO2 could enhance oil recovery through viscosity reduction and oil swelling at high temperatures [21]. Li et al. demonstrated that during steam flooding, the addition of flue gas could increase heavy oil recovery by extracting heavy oil and reducing interfacial tension [22]. Yuan et al. suggested that the presence of N2 could maintain the formation pressure and expand the steam chamber, which is in favour of heavy oil recovery [23].

As a consequence, the investigations mentioned above suggests that SCMTF, which consists of SCW, scN2, and scCO2, are a promising injection agent for deep offshore heavy oil. However, few researches have investigated the performance of SCMTF flooding on deep offshore heavy oil recovery. Thus, its EOR mechanisms are still unclear. In addition, the numerical simulation method for SCMTF flooding is deficient. Therefore, in this study, a series of sandpack flooding experiments were performed to evaluate the feasibility of SCMTF flooding. Then, a lab-scale numerical simulation model was developed and verified by the experimental results. In addition, the effects of injection temperature, pressure, and the mole ratio of scN2 and scCO2 mixture to SCW on oil recovery were investigated by the developed model. Finally, the verified parameters were applied to a field-scale simulation to assess the feasibility of SCMTF flooding on deep offshore heavy oil recovery.

2. Experiments

2.1. Materials

The heavy oil utilized for experiments was obtained from Bohai oil field, China. It had a viscosity of 6230 mPa·s (at 50°C), a density of 977 kg/m3 (at 50°C), and a molecular weight of 750 g/mol. The formation water was made with a brine containing 5.0 wt. % NaCl. As the composition of SCMTF, a gas mixture with a mole ratio of N2 to was employed for the experiments. Distilled water was applied for the generation of SCW. Quartz sands were adapted to prepare a reservoir model.

2.2. Experimental Apparatus

The experimental apparatus is exhibited in Figure 1. As illustrated, the setup is mainly composed of four parts: an injection system, a reservoir model, a monitoring system, and a collection system.

The crucial device in the injection system was a newly designed SCW generator (YH Petroleum Machinery Technology Co., Ltd, China), which could generate the SCW at a maximum temperature and pressure of 450°C and 35 MPa. A high-pressure pump was employed to inject distilled water into the generator to produce SCW. The rest of the injection system were a high-pressure pump and three cylinders containing gas mixture, heavy oil, and formation water, which were used for injecting experimental fluids.

The reservoir model is a one-dimensional sandpack, illustrated in Figure 2. The sandpack had a diameter of 38 mm and a length of 480 mm and can resist 450°C and 35 MPa condition. Six band heaters and an insulation jacket were employed for reducing heat losses and maintaining the reservoir temperature.

The monitoring system was used for temperature control and data acquisition in real time. It consists of thermocouples (±0.2°C accuracy within 0-450°C), pressure sensors (±87.5 kPa within 0-35 MPa), a computer, and a control device. As shown in Figure 2, the thermocouples were uniformly distributed along the sandpack, and at the inlet, the outlet, and the middle of the sandpack, there was a refinery of thermocouples, respectively. At the inlet and outlet of the model, the pressure sensors were arranged to acquire the pressure difference. The data obtained by thermocouples and pressure sensors were recorded by a computer. The control device could control band heaters to heat the sandpack.

In the production system, a backpressure regulator (BPR) was applied for adjusting the model pressure. A condenser and a water bath were used to cool the produced fluids. A separator separated the gas and liquid products, of which the amount was measured by a collector and a gas meter, respectively.

2.3. Experimental Procedure

(1)Model preparation

First, the sandpack model was cleaned by kerosene and packed with quartz sands. Second, the sandpack was saturated by the formation water, and the porosity and permeability were determined by a volume method and Darcy’s law, respectively. Subsequently, the sandpack was saturated by heavy oil at reservoir conditions, and initial oil saturation was tested. (2)Flooding procedure

During a typical SCMTF flooding process, SCW and gas mixture were coinjected into the sandpack at 23 MPa and 380°C. To simulate SCMTF, the mole ratio of the injected scN2 and scCO2 mixture to SCW was maintained at 1 : 5. The oil and gas production, temperature distribution, and pressure difference were recorded in real time. To evaluate the feasibility of SCMTF flooding, 3 sets of experiments (steam, SCW, and SCMTF flooding) were conducted for contrast. The experimental conditions are illustrated in Table 1.


Experiment No.123

Porosity (%)25.3424.1325.66
Permeability (mD)113011891210
Initial oil saturation (%)93.494.6793.11
Injection rate (ml/min)101010
Injection pressure (MPa)102323
Injection temperature (°C)320380380
Injection fluidsSteamSCWSCMTF

2.4. Experimental Results

The experimental results of the three experiments are shown in Figure 3. As shown in Figure 3(a), the SCMTF flooding can give the best oil production performance of 80.89% oil recovery, which is 29.60% higher than that of the steam flooding and 11.09% higher than that of the SCW flooding, suggesting that the SCMTF flooding is capable of enhancing deep offshore heavy oil recovery.

The role of SCW during SCMTF flooding can be determined by the comparison of experiments 1 and 2. As can be seen in Figure 3, in contrast to steam flooding, the SCW flooding resulted in an 18.51% increase in oil recovery (Figure 3(a)). The better oil production performance of SCW flooding should be ascribed to the following reasons: (1) in comparison to steam flooding, the heat front of SCW was uniform (Figure 3(b)), and high pressure difference period was longer (Figure 3(c)), indicating that the override phenomenon of SCW flooding is weak, and (2) the heavy oil upgrading in SCW can substantially increase oil mobility in contrast of that in steam, as described in a previous study [24].

A comparison of the results of experiments 2 and 3 indicated that the addition of scN2 and scCO2 mixture could further improve oil recovery (Figure 3(a)). In addition, the SCMTF flooding heat front advanced more slowly (Figure 3(b)), and the high pressure difference period was longer in comparison to SCW flooding (Figure 3(c)), suggesting that the presence of scN2 and scCO2 mixture can further suppress thermal agent override. Moreover, the value of pressure difference was lowered, which showed that the oil mobility increased (Figure 3(c)). This should be ascribed to two factors. First, the depressed gas production at the initial flooding stage (Figure 3(d)) suggested the dissolution of scN2 and scCO2 mixture in heavy oil, which could be beneficial for increasing oil mobility [22]. Second, the presence of scN2 and scCO2 can enhance the heavy oil upgrading [24].

3. Numerical Simulation

3.1. Lab-Scale Numerical Simulation
3.1.1. Numerical Approach

The flow of SCMTF in porous media is considered to be a complex phenomenon. Therefore, except for the experiments, the development of a detailed numerical method is necessary for clearly depicting SCMTF flooding processes. In this study, a numerical method was developed to simulate SCMTF flooding by using CMG-STARS commercial software. According to the porosity, permeability, initial oil saturation, and operation parameters listed in Table 1, a lab-scale model was established. As shown in Figure 4, to accurately simulate the experiments, the model was discretized into 17328 grids (, grid size of ).

The previous research revealed that heavy oil upgrading played an important role in oil production during SCMTF injection [24]. According to the oil property tests, product distribution, and gas product analysis presented by Sun et al. [24], the following chemical reaction equation (Equation (1)) was adapted for depicting heavy oil upgrading in SCMTF:

Based on the upgrading reaction and the experimental conditions, the components contained in flooding process were lumped into 4 phases (water, oil, gas, and solid) and 7 types (water, heavy oil, light oil, gas product, CO2, N2, and coke). To reflect CO2 and N2 dissolution in heavy oil, a gas-liquid -value correlation (Equation (2)) was adapted: where denotes the equilibrium constant, denotes the pressure, and the kv1, kv2, kv3, kv4, and kv5 are the first to fifth coefficients of -value correlation. The other key properties of the model are listed in Table 2.


ParametersValues

Initial temperature (°C)50
Injection temperature (°C)380
Injection pressure (MPa)23
Fluid injection rate (ml/min)10
Bottom hole pressure of production well (MPa)23
Rock thermal conductivity (J/(m3·d·°C))
Rock heat capacity (J/(m3·°C))
Water phase thermal conductivity (J/(m3·d·°C))
Oil phase thermal conductivity (J/(m3·d·°C))
Gas phase thermal conductivity (J/(m3·d·°C))1900
Oil-water relative permeability
0.28301
0.3230.000020.7728
0.340.00020.6624
0.360.00050.5544
0.380.00120.4491
0.40.00230.3471
0.4860.01610.1
0.5460.03310
110
Gas-liquid relative permeability
0.58670.2040
0.6230.150.01
0.7490.0450.076
0.8250.0220.168
0.9130.0080.4121
0.9440.0060.5742
0.9720.00590.7696
101

3.1.2. History Matching

The kinetic parameters (frequency factor and activation energy) and the relative permeabilities were considered to be of great uncertainties. Therefore, the history matching process was performed through tuning these factors. To precisely simulate SCMTF flooding, the adjustment of kinetic parameters should be limited in a reasonable range. According to the former heavy oil upgrading investigations, the tuning ranges of the frequency factor and activation energy were  min-1 and 209.45-272.30 kJ/mol, respectively [2530].

As illustrated in Figures 5(a) and 5(b), the numerical model could reproduce the oil recovery and pressure difference of the experiment, with average errors of 3.24% in oil recovery and of 4.33% in pressure difference, respectively. In addition, the temperature distribution results (Figure 5(c)) indicate that the simulation fits well with the experiment, confirming that the simulation model can precisely simulate the dynamic of SCMTF flooding.

Moreover, the history-matched model was adopted to predict the SCW flooding process, and the experimental and simulation results shown in Figure 6 demonstrate a fair match (average errors of oil recovery is 3.83% and of pressure difference is 6.37%), further confirming the accuracy of the developed model.

3.1.3. The Characterization of SCMTF Flooding

Figure 7 exhibits the calculated SCW, light oil, scN2 and scCO2 mixture, viscosity, oil saturation, and coke distributions during SCMTF flooding. As presented in Figures 7(a) and 7(b), as the SCMTF was injected 0.5 PV, the SCW accumulated at the inlet of sandpack model, and the light oil mainly distributed near the inlet. By the fact that the SCW dominate the heavy oil upgrading in SCMTF [24], only the heavy oil near the inlet underwent upgrading process, contributing to the aforementioned phenomena. In addition, scN2 and scCO2 promote more rapidly than SCW (Figure 7(c)), and the shape of low-viscosity area (Figure 7(c)) was similar to the gas distribution. Therefore, the dissolution of gas mixture played a leading role on viscosity reduction at this stage (Figure 7(d)). In addition, the mobility of the most of heavy oil was still low. Therefore, only a small part of oil was extracted out of the outlet (Figure 7(e)).

With the constant injection of SCMTF, the SCW, scN2, and scCO2 gradually advanced to the outlet of sandpack. At the injection volume of 1.5 PV, the SCW migrated to the middle of the model (Figure 7(a)). The enlarged SCW distribution induced the acceleration of heavy crude upgrading, expanding the light oil distribution (Figure 7(b)). The synthesis effects of heavy oil upgrading, scCO2 dissolution, and heating drastically decreased oil viscosity in the whole model (Figure 7(d)), which resulted in the reduction of oil saturation (Figure 7(e)). Notably, due to the buoyancy effect, scN2 and scCO2 mainly distributed at the upper part of the model (Figure 7(c)). Therefore, the oil viscosity at the upside of the model was lower (Figure 7(d)), contributing to a lower oil saturation at the upper part (Figure 7(e)).

After the SCMTF was injected 2.5 PV, the SCMTF had broken through and a stable channeling path was formed (Figures 7(a) and 7(c)). Therefore, heavy oil was not effectively displaced by SCMTF (Figure 7(e)). At the end of SCMTF flooding, the average residual oil saturation was 18.76%.

The formation of coke was determined by the pyrolysis reaction, which was deeply affected by the temperature. Therefore, coke mainly deposited near the inlet, and the coke distribution was extended with the continuous injection of SCMTF (Figure 7(f)). However, the SCMTF was proved to suppress the coke formation. Thus, the highest coke concentration was only  kg/cm3 at the end of flooding, which was relatively low and might do limited damage on formation.

3.1.4. The Effects of Operation Parameters on SCMTF Flooding

(1)The effect of injection temperature

The effect of injection temperature on SCMTF flooding performance was investigated through simulating the SCMTF flooding process at five different cases (380°C, 400°C, 420°C, 440°C, and 460°C, respectively). The results are exhibited in Figure 8. As presented in Figure 8(a), a remarkable increase from 79.49% to 93.99% in oil recovery and a significant decrease in pressure difference (Figure 8(b)) can be found as the injection temperature varied from 380°C to 460°C.

The main reason for the enhanced oil recovery and reduced pressure difference is that the oil viscosity was reduced with the increasing injection temperatures (Figure 8(c)). The increase in injection temperature could enhance the heat transmission, resulting in a decrease in viscosity. In addition, the increase in injection temperature could considerably intensify the heavy oil upgrading in SCMTF [24]. Therefore, the light oil mole fraction increased (Figure 8(d)), leading to a further decrease in oil viscosity.

The coke formation was also significantly enhanced with the increase in temperatures; therefore, the average coke concentration (Figure 8(d)) was increased from to  kg/cm3, suggesting that a substantial increase in injection temperature may induce a potential damage on formation. Thus, the injection temperature should be limited in a reasonable range. (2)The effect of injection pressure

Different injection pressures (23 MPa, 25 MPa, 27 MPa, 29 MPa, and 31 MPa) were assigned to study their effects on the performance of SCMTF flooding. The performances of SCMTF flooding considering different injection pressures are presented in Figure 9. As presented in Figure 9(a), the oil recovery increases from 79.49% to 91.62% with the injection pressure rising from 23 MPa to 31 MPa.

As exhibited, the pressure difference (Figure 9(b)) and oil viscosity (Figure 9(c)) were reduced with pressure increasing. This should be ascribed to two reasons: first, during the flooding process, the dissolution of scN2 and scCO2 was enhanced at rising pressure, which could increase oil mobility. Second, the increase in injection pressure can intensify the upgrading of heavy oil in SCMTF [24]. Therefore, the light oil mole fraction was increased in the model (Figure 9(d)).

Moreover, the high pressure difference period was lengthened at rising pressures (Figure 9(b)), suggesting that the increasing pressure mitigated the override phenomena. This should be ascribed to the fact that the density of SCMTF increases as the pressure increases, thus suppressing override by reducing density difference between SCMTF and heavy oil. As a result, the mitigated SCMTF override and increased oil mobility resulted in a lower oil saturation (Figure 9(c)), indicating that increasing injection pressure is of benefit to improve heavy oil production. (3)The effect of scN2 and scCO2 mixture

Simulation schemes with five different mole ratios of scN2 and scCO2 mixture to SCW (0 : 5, 0.5 : 5, 1 : 5, 1.5 : 5, and 2 : 5) were conducted to explore the effects of scN2 and scCO2 injection rates on SCMTF flooding. The results are displayed in Figure 10. As illustrated in Figure 10(a), the oil recovery is significantly increased from 70.26% to 81.56% as the mole ratio of scN2 and scCO2 mixture to SCW rises from 0 : 5 to 1 : 5, whereas the increase in mole ratio from 1 : 5 to 2 : 5 only slightly improves the oil recovery from 79.49% to 81.56%.

This is because, with the increase in the mole ratio of scN2 and scCO2 mixture to SCW from 0 : 5 to 1 : 5, the dissolution of scN2 and scCO2 in heavy oil was significantly enhanced, and the upgrading of heavy oil would also be accelerated [24]. As a consequence, the oil mobility was increased (Figure 10(c)), contributing to a more rapid oil production (Figure 10(a)). However, when the mole ratio of scN2 and scCO2 mixture to SCW increased from 1 : 5 to 2 : 5, the increase of scN2 and scCO2 solubility in heavy oil was limited. The additional scN2 and scCO2 cannot effectively decrease oil viscosity (Figure 10(c)), and the excess of the scN2 and scCO2 injection rate resulted in an early breakthrough of SCMTF (Figure 10(b)), which was adverse to the oil production at the late stage. In addition, after the mole ratio of scN2 and scCO2 mixture to SCW exceeds 1 : 5, the increase in the mole ratio of scN2 and scCO2 mixture to SCW had no obvious influence on heavy oil upgrading (Figure 10(d)). Therefore, the oil viscosity varied slightly at the end of flooding with the increase in mole ratio from 1 : 5 to 2 : 5 (Figure 10(c)).

Consequently, the residual oil saturation decreased significantly with the rise of the mole ratio of scN2 and scCO2 mixture to SCW from 0 : 5 to 1 : 5 and almost remained constant as the mole ratio increased from 1 : 5 to 2 : 5 (Figure 10(c)), suggesting that a moderate ratio of the scN2 and scCO2 in SCMTF would be economic and efficient during SCMTF injection.

3.2. Field-Scale Numerical Simulation

To investigate the performance of SCMTF flooding on deep offshore oil fields, a deep offshore oil reservoir located in Bohai Bay, China (Figure 11), was selected as the object of study. The model consisted of grids. The grid size in the and directions was 30 m, and the grid thickness varied from 0.25-2.19 m.

The distributions of porosity and permeability are displayed in Figures 11(b) and 11(c). The average porosity and permeability were 24.44% and 1096 mD, respectively. In addition, the component, fluid, and reaction models and other key properties were obtained from the matched lab-scale numerical model.

The reservoir model contained two horizontal wells (Figure 12(a)), respectively. The history match result of two wells is exhibited in Figure 12, indicating that the model could accurately simulate the oil production performance of practical reservoir.

To simulate the SCMTF flooding process, a new injector was drilled between the two horizontal wells (Figure 11(c)). The SCMTF was injected at 380°C and 23 MPa, and a surface fluid rate of 240 m3/d and a mole ratio of (consistent with the experiment) was adapted as the SCMTF injection rate. To evaluate the feasibility of SCMTF on the practical offshore heavy oil reservoir, a steam flooding simulation (320°C, 17 MPa, steam quality 0.4, and a surface water rate of 240 m3/d) was also performed for comparison. A production-injection ratio of 1.2 was employed for both of simulation runs. The simulation of flooding was started at the end of field history and lasted for 8030 days. The results are listed in Figures 1317.

As shown in the cumulative oil production results (Figure 13), the injection of SCMTF significantly enhances the oil production performance as compared to steam injection (the cumulative oil production increased by 27122 m3), demonstrating that the SCMTF is feasible in deep offshore heavy oil recovery.

The temperature fields (Figure 14) show that the SCMTF could effectively expand the heating area in comparison to steam. This is because the injected scN2 and scCO2 accumulated at the top of reservoir (Figure 15) and reduced the heat loss of thermal agent to the overburden. Moreover, as aforementioned, scN2 and scCO2 mitigated the SCW override, which enhanced the promotion of thermal agent chamber at horizon direction (Figure 14(b)). In addition, the injection temperature of SCMTF was much higher than steam, resulting in an enhanced heat transfer.

Furthermore, compared to steam flooding, the rapid promotion (Figure 14(a)) and dissolution of injected scN2 and scCO2 during SCMTF flooding further expanded the low oil viscosity zone (Figure 16(a)). Additionally, the SCMTF injection induced the heavy oil upgrading, which further increased the oil mobility (Figure 17). The factors mentioned above led to a considerably extended the oil drainage area (Figure 16(b)) as compared to steam flooding. As a result, the average residual oil saturation decreased from 67% in steam flooding to 62% in SCMTF flooding.

Notably, the coke mainly deposited near the injector, and its concentration increased with the continuous SCMTF injection (Figure 17), which is in accordance with the lab-scale simulations. However, the SCMTF can suppress coke formation. Therefore, the coke deposition was not severe, which may not lead to a formation damage.

4. Conclusions

(1)The experimental results of the sandpack flooding showed that, in contrast of steam and SCW flooding, SCMTF flooding can give the highest oil recovery of 80.89%, which is 29.60% higher than that of the steam flooding and 11.09% higher than that of SCW flooding. The field-scale simulation indicated that the SCMTF flooding increased oil production by 27122 m3 in comparison to steam flooding. Therefore, the SCMTF is feasible in improving deep offshore heavy oil recovery(2)The history matching process illustrates average errors of 3.24% in oil recovery and of 4.33% in pressure difference, confirming that the developed numerical model can precisely simulate the dynamic of SCMTF flooding(3)During SCMTF processes, the dissolution of gas in heavy oil played a leading role in oil viscosity reduction at the initial stage of flooding. With the flooding proceeding to middle stage, the synthesis effects of the heating, heavy oil upgrading, and gas dissolution resulted in a rapid decrease in oil saturation. After SCMTF broke through, the heavy oil could not be extracted effectively(4)An increase in injection temperature benefits the oil production performance. However, too much increase in injection temperature leads to damage formation. Thus, a reasonable injection temperature should be adapted during SCMTF flooding(5)The rise of injection pressure can increase oil recovery by enhancing the heavy oil upgrading and gas dissolution in heavy oil. Therefore, the SCMTF is suggested to be injected at a pressure as high as the oil field can withstand(6)Improving the mole ratio of scN2 and scCO2 mixture to SCW benefits oil production. Nevertheless, an excess of scN2 and scCO2 leads to an early breakthrough of SCMTF. Therefore, in SCMTF flooding processes, a moderate ratio of the scN2 and scCO2 mixture is essential for economic performance

Data Availability

The raw/processed data required to reproduce these findings cannot be shared at this time as the data also forms part of an ongoing study.

Conflicts of Interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

Acknowledgments

This research was funded by the Open Fund of State Key Laboratory of Offshore Oil Exploitation (Project No. CCL2018RCPS0017RON) and the China National Offshore Oil Corporation (Project No. YXKY-ZX 06 2021).

References

  1. X. Sun, Y. Zhang, Z. Gai, H. Zhao, G. Chen, and Z. Song, “Comprehensive experimental study of the interfacial stability of foamy oil and identification of the characteristic responsible for foamy oil formation,” Fuel, vol. 238, pp. 514–525, 2019. View at: Publisher Site | Google Scholar
  2. X. Sun, Z. Song, L. Cai, Y. Zhang, and P. Li, “Phase behavior of heavy oil–solvent mixture systems under reservoir conditions,” Petroleum Science, vol. 17, no. 6, pp. 1683–1698, 2020. View at: Publisher Site | Google Scholar
  3. X. Dong, H. Liu, Z. Chen, K. Wu, N. Lu, and Q. Zhang, “Enhanced oil recovery techniques for heavy oil and oilsands reservoirs after steam injection,” Applied Energy, vol. 239, pp. 1190–1211, 2019. View at: Publisher Site | Google Scholar
  4. W. Zhou, C. Xin, S. Chen, Q. Yu, and K. Wang, “Polymer-enhanced foam flooding for improving heavy oil recovery in thin reservoirs,” Energy & Fuels, vol. 34, no. 4, pp. 4116–4128, 2020. View at: Publisher Site | Google Scholar
  5. E. Delamaide and W. Parra Moreno, “Enhanced oil recovery of heavy oil in reservoirs with bottom aquifer,” in Paper presented at the SPE Western Regional Meeting, p. 19, Garden Grove, California, USA, 2015. View at: Publisher Site | Google Scholar
  6. A. J. Jayasekera and S. G. Goodyear, “The development of heavy oil fields in the United Kingdom Continental Shelf: past, present, and future,” SPE Reservoir Evaluation & Engineering, vol. 3, no. 5, pp. 317–379, 2000. View at: Publisher Site | Google Scholar
  7. S. Zhou, Q. Li, X. Lv, Q. Fu, and Y. Liu, “Injection-production system and method for supercritical multi-thermal fluid,” CN Patent CN106640008A, 2017. View at: Google Scholar
  8. X. Sun, J. Cai, X. Li, W. Zheng, T. Wang, and Y. Zhang, “Experimental investigation of a novel method for heavy oil recovery using supercritical multithermal fluid flooding,” Applied Thermal Engineering, vol. 185, article 116330, 2021. View at: Publisher Site | Google Scholar
  9. H. Qu, J.-H. Gong, X.-C. Tan, P. Q. Yuan, Z. M. Cheng, and W. K. Yuan, “Dissolution of polycyclic aromatic hydrocarbons in subcritical and supercritical water: a molecular dynamics simulation study,” Chemical Engineering Science, vol. 195, pp. 958–967, 2019. View at: Publisher Site | Google Scholar
  10. T. Zhang, X. Chen, H. Shen, and Z. Da, “Upgrading of Tsingtao vacuum residuum in supercritical water (I): a preliminary phase structure study by molecular dynamics simulations,” Energy & Fuels, vol. 33, no. 5, pp. 3908–3915, 2019. View at: Google Scholar
  11. J. Liu, Y. Xing, Y.-X. Chen, P. Q. Yuan, Z. M. Cheng, and W. K. Yuan, “Visbreaking of heavy oil under supercritical water environment,” Industrial & Engineering Chemistry Research, vol. 57, no. 3, pp. 867–875, 2018. View at: Publisher Site | Google Scholar
  12. Y. Liu, F. Bai, C.-C. Zhu, P. Q. Yuan, Z. M. Cheng, and W. K. Yuan, “Upgrading of residual oil in sub- and supercritical water: an experimental study,” Fuel Processing Technology, vol. 106, pp. 281–288, 2013. View at: Publisher Site | Google Scholar
  13. M. Morimoto, Y. Sugimoto, Y. Saotome, S. Sato, and T. Takanohashi, “Effect of supercritical water on upgrading reaction of oil sand bitumen,” Journal of Supercritical Fluids, vol. 55, no. 1, pp. 223–231, 2010. View at: Publisher Site | Google Scholar
  14. Q. Zhao, L. Guo, Z. Huang, L. Chen, H. Jin, and Y. Wang, “Experimental investigation on enhanced oil recovery of extra heavy oil by supercritical water flooding,” Energy & Fuels, vol. 32, no. 2, pp. 1685–1692, 2018. View at: Publisher Site | Google Scholar
  15. Q. Zhao, L. Guo, Y. Wang, H. Jin, L. Chen, and Z. Huang, “Enhanced oil recovery and in situ upgrading of heavy oil by supercritical water injection,” Energy & Fuels, vol. 34, no. 1, pp. 360–367, 2020. View at: Publisher Site | Google Scholar
  16. Q. Zhao, L. Guo, Y. Wang, Z. Huang, L. Chen, and H. Jin, “Thermophysical characteristics of enhanced extra-heavy oil recovery by supercritical water flooding,” Journal of Engineering Thermophysics, vol. 41, no. 3, pp. 635–642, 2020. View at: Google Scholar
  17. Q. Yin, H. Huo, P. Huang, C. Wang, D. Wu, and Z. Luo, “Effective use of technology research and application of supercritical steam on deep super-heavy oil in Lukeqin oilfield,” Oilfield Chemistry, vol. 34, no. 4, pp. 635–641, 2017. View at: Google Scholar
  18. Y. Yang, “The trial and application of supercritical water injection at 35 MPa in Lukeqin oilfield,” China Petroleum and Chemical Standard and Quality, vol. 1, pp. 217-218, 2012. View at: Google Scholar
  19. C. Liu, W. Zhang, and J. Yin, “Numerical simulation of phase change regularity of supercritical steam in vertical wellbores - by taking Gao 3624 block of Gaosheng oilfield as an example,” Petroleum Geology and Engineering, vol. 34, no. 4, pp. 106–111, 2020. View at: Google Scholar
  20. Z. Zhang, Z. Jiang, Y. Chen, Y. Yu, W. Guan, and S. Cui, “The investigation of deep heavy oil recovery by supercritical water injection technique,” Petroleum Drilling Techniques, vol. 32, no. 6, pp. 44–46, 2004. View at: Google Scholar
  21. C. Wang, P. Liu, F. Wang, B. Atadurdyyev, and M. Ovluyagulyyev, “Experimental study on effects of CO2 and improving oil recovery for CO2 assisted SAGD in super-heavy-oil reservoirs,” Journal of Petroleum Science and Engineering, vol. 165, pp. 1073–1080, 2018. View at: Publisher Site | Google Scholar
  22. S. Li, Z. Li, and X. Sun, “Effect of flue gas and _n_ -hexane on heavy oil properties in steam flooding process,” Fuel, vol. 187, pp. 84–93, 2017. View at: Publisher Site | Google Scholar
  23. Z. Yuan, P. Liu, S. Zhang, X. Li, L. Shi, and R. Jin, “Experimental study and numerical simulation of nitrogen-assisted SAGD in developing heavy oil reservoirs,” Journal of Petroleum Science and Engineering, vol. 162, pp. 325–332, 2018. View at: Publisher Site | Google Scholar
  24. X. Sun, X. Li, X. Tan et al., “Pyrolysis of heavy oil in supercritical multi-thermal fluid: an effective recovery agent for heavy oils,” Journal of Petroleum Science and Engineering, vol. 196, article 107784, 2021. View at: Publisher Site | Google Scholar
  25. D. Zhang, Z. Ren, D. Wang, and K. Lu, “Upgrading of crude oil in supercritical water: a five-lumped kinetic model,” Journal of Analytical and Applied Pyrolysis, vol. 123, pp. 56–64, 2017. View at: Publisher Site | Google Scholar
  26. X.-C. Tan, Q.-K. Liu, D.-Q. Zhu, P. Q. Yuan, Z. M. Cheng, and W. K. Yuan, “Pyrolysis of heavy oil in the presence of supercritical water: the reaction kinetics in different phases,” AICHE Journal, vol. 61, no. 3, pp. 857–866, 2015. View at: Publisher Site | Google Scholar
  27. A. Boytsova, N. Kondrasheva, and J. Ancheyta, “Pyrolysis kinetics of heavy oil asphaltenes under steam atmosphere at different pressures,” Energy & Fuels, vol. 32, no. 2, pp. 1132–1138, 2018. View at: Publisher Site | Google Scholar
  28. J. Kang, A. A. Myint, S. Sim, J. Kim, W. B. Kong, and Y. W. Lee, “Kinetics of the upgrading of heavy oil in supercritical methanol,” The Journal of Supercritical Fluids, vol. 133, pp. 133–138, 2018. View at: Publisher Site | Google Scholar
  29. S. Sim, W. B. Kong, J. Kim, J. Kang, H. S. Lee, and Y. W. Lee, “Kinetics of extra-heavy oil upgrading in supercritical water with and without zinc nitrate using the phase separation kinetic model,” The Journal of Supercritical Fluids, vol. 165, article 104961, 2020. View at: Publisher Site | Google Scholar
  30. P. Haghighat, L. Carbognani Ortega, and P. Pereira-Almao, “Kinetic study of preoxidized asphaltene hydroprocessing in aqueous phase,” Energy & Fuels, vol. 30, no. 7, pp. 5617–5629, 2016. View at: Publisher Site | Google Scholar

Copyright © 2021 Xianhong Tan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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