1. Introduction

IJG

International Journal of Geosciences

2156-8359

Scientific Research Publishing

10.4236/ijg.2022.314014

IJG-116443

Articles

Earth&Environmental Sciences

Study on Phase Transition and Gas Deviation Coefficient of Natural Gas with High Carbon Dioxide Content

Tao

Zhou

₁

COSL-EXPRO Testing Services (Tianjin) Co., Ltd., Zhanjiang, China

11042022

03142692801, March 20228, April 2022 11, April 2022

2014

This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/

It is the basic research subject that analyzes and calculate the law and numerical value of phase change and gas deviation coefficient of natural gas with high-CO ₂ content in the process of safe and effective development of gas reservoirs, which is obtained by high - pressure physical properties PVT (Pressure-Volume-Temperature) experiments and different calculation methods calculations. Aiming at natural gas with high-CO₂ content in the Dongfang gas field, the phase change characteristics and physical parameters of different PVT samples are simulated and tested by Chandler 3000-GL analyzer and PVT SIM software. The experimental data shows that the phase state of natural gas with different content of CO₂ has not changed in the study range. At the same time, the deviation coefficient calculated by different calculation methods (DPR, DAK, BB, HY, Gopal) are compared with the experimental data, and the applicable scope of different calculation methods are obtained. The results show that the improved Gopal has high accuracy and is suitable for the calculation of the deviation coefficient of natural gas with high-CO₂ content under high temperature and high pressure in the Dongfang gas field.

Natural Gas Phase Transformation Deviation Coefficient

1. Introduction

The CO₂ content of the gas reservoirs in the Dongfang area is as high as 22.15% - 73.9%, the pressure range is 10 MPa - 100 MPa, and the temperature range is 20˚C - 200˚C. It is the important basic data for natural gas reserves calculation, numerical simulation, dynamic analysis, and formulation of reasonable development plans, which studies the influence of temperature and pressure conditions of natural gas with high-CO₂ content on the phase transformation of natural gas and PVT high-pressure physical property parameters. In this paper, the PVT experimental measurement and software are used to simulate the changes of physical property parameters of natural gas with high CO₂ content during the production process of the Dongfang gas field. At the same time, PVT experimental measurement and different calculation model methods are used to calculate the deviation coefficient of natural gas with high CO₂ content. Through the comparison of calculation results, it is concluded that the calculation method is more suitable for this area.

2. Physical Property Parameter Test of Natural Gas with High CO<sub>2</sub> Content2.1. Phase Transition of Natural Gas with High CO<sub>2</sub> Content

The sample was selected as the 17-019 gas sample from Well DF1-1-F4 in the Dongfang gas field, and different experimental samples were prepared with industrial pure CH₄ and CO₂ in accordance with the set ratio (Table 1). The physical property experiment of high temperature and high-pressure natural gas was carried out in the Chandler 3000-GL PVT analyzer [1], and the phase state analysis of different experimental samples was carried out using PVT sim software, and the corresponding phase diagram of the samples was obtained (Figure 1). The formation pressure of Well F is 52.880 MPa, the formation temperature is 142.0˚C, the sampling pressure of the separator is 7.316 MPa, and the sampling temperature is 38.5˚C. The gas components of the experimental samples are mainly composed of CO₂, CH₄ and N₂. Through PVT experiments, phase diagrams and vapor pressures of pure substances calculation and analysis, there is no gas-liquid phase change in the studied gas samples [2] [3].

Table 1 Component/% of different natural gas samples

Component	I	II	III	IV
CO₂	5.52	18.02	46.99	73.58
N₂	2.66	9.01	5.93	2.8
C₁	91.22	71.21	45.99	21.84
C₂	0.37	0.94	0.64	0.41
C₃	0.09	0.33	0.2	0.26
iC₄	0.02	0.1	0.06	0.1
nC₄	0.02	0.1	0.05	0.16
iC₅	0.02	0.08	0.04	0.15
nC₅	0.01	0.05	0.02	0.12
C₆+	0.07	0.16	0.08	0.58

2.2. The Variation Law of Deviation Coefficient

The PVT experimental test of the coefficient of deviation was carried out with different preparation samples of 17-019 gas samples from well DF1-1-F4. Figure 2 and Figure 3 show the variation of the deviation coefficient with pressure at different CO₂ contents. The deviation coefficient of natural gas decreases first and then increases with pressure. Affected by the content of different gas components, the deviation coefficient of the mole fraction 10% CO₂ gas sample is the smallest when the pressure is about 16 MPa, and the deviation coefficient of the mole fraction 35% CO₂ gas sample is the smallest when the pressure is about 20 MPa. In different pressure ranges, there are differences in the influence of temperature on the deviation coefficient, which changes at about 60 MPa. When the pressure is lower than 60 MPa, the deviation coefficient increases with the rise of temperature. When the pressure is higher than 60 MPa, the deviation coefficient decreases with the rise of temperature.

According to the different sample preparation experiments of 17-019 gas samples from well DF1-1-F4, as shown in Figure 4, the gas deviation coefficient gradually decreases with the increase of CO₂ content, and the difference increases with the increase of pressure. At the same time, the higher the CO₂ content is, the greater the reduction of the gas deviation coefficient is.

3. Calculation Method of Deviation Coefficient of Natural Gas3.1. Calibration for Non-Hydrocarbon Gases

The content of non-hydrocarbon gases in natural gas in the Dongfang gas field is relatively high, and the average content of CO₂ in PVT samples is ≥35%. The

presence of sour natural gas in natural gas affects its critical temperature and critical pressure and changes the gas deviation coefficient of natural gas, which leads to deviations in other calculations. Therefore, it is necessary to correct the critical parameter properties of sour natural gas [4] [5]. At present, the methods for correcting the composition of critical parameters of sour gas mainly include the following methods:

3.1.1. Wichert-Aziz Correction Method [<xref ref-type="bibr" rid="scirp.116443-ref6">6</xref>]

T ′ p c = T p c − ε

p ′ p c = p p c T ′ p c T p c + y H 2 S ( 1 − y H 2 S ) ε

ε = [ 120 ( A 0.9 − A 1.6 ) + 15 ( y H 2 S 0.5 − A 4.0 ) ] / 1.8

A = y H 2 S + y CO 2

where T ′ p c is the corrected pseudo-critical temperature, K; p ′ p c is the corrected pseudo-critical pressure, MPa; y H 2 S , y CO 2 are the mole fractions of H₂S and CO₂ in natural gas, respectively; ε is the pseudo-critical temperature correction coefficient, dimensionless .

3.1.2. Car-Kobayshi-Burrows Correction Method [<xref ref-type="bibr" rid="scirp.116443-ref7">7</xref>]

The Car-Kobayshi-Burrows method takes into account the correction for N₂ content.

T ′ p c = T p c − 44.4 y CO 2 + 72.2 y H 2 S − 138.9 y N 2

p ′ p c = p p c + 3.043 y CO 2 + 4.137 y H 2 S − 1.172 y N 2

where y CO 2 , y H 2 S , y N 2 are the mole fractions of CO₂, H₂S and N₂ in natural gas, respectively.

3.2. Calculation Method of Deviation Coefficient of Natural Gas

There are many ways to determine the deviation coefficient of natural gas, including the more reliable experimental measurement method, the plate method [8] and the analytical model solution method.

3.2.1. Experimental Method

The samples with 10% and 35% ratio were analyzed and tested by high temperature and high pressure PVT instrument, the relationship between the relative temperature and the relative pressure and the variation coefficient is relatively good and corresponds to the characteristics of the relationship curve of the Standing-Katz deviation coefficient (Figure 5, Figure 6).

3.2.2. Analytical Model Methods

1) Dranchuk-Purvis-Robinsion method [9]

According to the Benedict-Webb-Rubin equation of state, Dranchuk, Purvis and Robinsion converted the deviation coefficient into a function of reduced

pressure and reduced temperature, and in 1974 derived an empirical formula containing 8 constants, which is in the form:

Z = 1 + | A 1 + A 2 T p r + A 3 T p r 3 | ρ r + | A 4 + A 5 T p r | ρ p r 2 + | A 5 A 6 T p r | ρ r 5 − A 7 T p r 3 ρ r 2 ( 1 + A 8 ρ r 2 ) exp ( − A 8 ρ r 2 )

ρ r = 0.27 p p r Z T p r

whrere A_i is a given coefficient, A₁ = 0.31506237, A₂ = −1.04670990, A₃ = −0.57832729, A₄ = 0.53530771, A₅ = −0.61232032, A₆ = −0.10488813, A₇ = 0.68157001, A₈ = 0.68446549;

p_prv is the pseudo-reduced pressure, dimensionless;

T_pr is the pseudo-reduced temperature, dimensionless.

2) Dranchuk-Abu-Kassem method [10]

This model is calculated in the same way as Dranchuk-Purvis-Robinsion, but the relative density is calculated using Newton iteration from:

Z = | A 1 + A 2 T p r + A 3 T p r 3 + A 4 T p r 4 + A 5 T p r 5 | ρ r + | A 6 + A 7 T p r + A 8 T p r 2 | ρ r − | A 7 T p r + A 8 T p r 2 | ρ r 5 − A 9 | A 7 T p r + A 8 T p r 2 | ρ r 5 + A 10 T p r 3 ρ r 2 ( 1 + A 11 ρ r 2 ) exp ( − A 11 ρ r 2 ) + 1 (3)

where A₁ = 0.32650, A₂ = −1.07000, A₃ = −0.5339, A₄ = 0.01570, A₅ = −0.05165, A₆ = 0.5475, A₇ = −0.7361, A₈ = 0.18440, A₉ = 0.10560, A₁₀ = 0.6134, A₁₁ = 0.7210.

3) Brill-Beggs method [11]

Z = A + 1 − A e B + C p r D

where A,B,C and D are functions of the pseudo-reduced pressure and the pseudo-reduced temperatures.

A = 1.390 ( T p r − 0.920 ) 0.5 − 0.360 T p r − 0.101

B = ( 0.62 − 0.23 T p r ) p p r + ( 0.066 T p r − 0.86 − 0.037 ) p p r 2 + 0.132 × 10 − 9 ( T p r − 1 ) p p r 6

C = 0.132 − 0.32 lg ( T p r )

D = 10 ( 0.3106 − 0.49 T p r + 0.1824 T p r 2 )

4) Hall-Yarborough method [12]

The method is based on the Starling-Carnahan equation of state, and the following relationship is obtained by fitting the Standing-Katz plate:

Z = 0.06125 ( p p r ρ T p r ) exp [ − 1.2 ( 1 − 1 T p r ) 2 ]

ρ_r is the pseudo-reduced density, which can be obtained from the following formula by the Newton iteration method:

ρ r + ρ r 2 + ρ r 3 − ρ r 4 ( 1 − ρ r ) 3 − | 14.76 T r + 9.76 T p r 2 + 4.58 T p r 3 | ρ r 2 + | 90.7 T p r + 2422 T p r 2 + 42.4 T p r 3 | ρ r 2.18 + 2.82 / T p r − 0.06125 ( p p r T p r ) exp [ − 1.2 ( 1 − 1 T p r ) 2 ] = 0

5) Gopal method

Gopal fits the curve segment of the Standing-Katz gas deviation coefficient chart with a straight line equation:

Z = p p r ( A T p r + B ) + C T p r + D

According to the range of p_pr and T_pr, different parameters are used to calculate the Z value (Table 2).

4. Deviation Coefficient Calculation4.1. Computational Comparison

By applying different methods, the deviation coefficient of natural gas in the Dongfang Area is obtained, and the error analysis is carried out. It can be seen from Figure 7 that under different pressure ranges, the calculation results of different methods have large errors, and the average errors are all >10%. Taking the relative error calculated by the DAK method as an example (Figure 8), it also shows that the error distribution is extremely uneven, which brings difficulties to the accurate calculation of the deviation coefficient.

The expression coefficient in the Gopal method is obtained from the experimental data of Gopal’s own research block, so there is a deviation in the calculation of the deviation coefficient in the Dongfang area. According to the high temperature, high pressure, high CO₂ characteristics of the Dongfang area, using the pseudo-reduced pressure and the pseudo-reduced temperature to perform a piecewise multiple regression, the fitting empirical formula of each piece is obtained (Table 3), and the error analysis effect is good (Figure 9).

Table 2 Gopal formula parameters

pseudo-reduced pressure	pseudo-reduced temperature	parameters A, B, C, D
pseudo-reduced pressure	pseudo-reduced temperature	A	B	C	D
0.2 - 1.2	1.05 - 1.2	1.6643	−2.2114	−0.3647	1.4385
	1.2 - 1.4	0.5222	−0.8511	−0.0364	1.049
	1.4 - 2.0	0.1391	−0.2988	−0.0007	0.9969
	2.0 - 3.0	0.0295	−0.0825	−0.0009	0.9967
1.2 - 2.8	1.05 - 1.2	−1.357	−1.4942	1.8315	4.7
	1.2 - 1.4	0.1717	−0.3232	−0.5869	0.1229
	1.4 - 2.0	0.0984	−0.2053	−0.0621	0.858
	2.0 - 3.0	0.0211	−0.0527	−0.0127	0.9549
2.8 - 5.4	1.05 - 1.2	−0.3278	−0.4752	1.8223	−1.9036
	1.2 - 1.4	−0.2521	0.3871	1.6027	−1.6635
	1.4 - 2.0	−0.0284	0.0625	0.4714	0.0011
	2.0 - 3.0	0.0041	0.0039	0.0607	0.7927

4.2. Sample Calculation Verification

By selecting 4 samples of natural gas in the research field, different deviation

Table 3 Gopal experience improvement formula

p_pr	T_pr	Expression formula
A (2.0, 5.4]	(1.02, 1.2]	Z = 0.553 p p r T p r − 1.0338 p p r + 2.0943
	(1.2, 1.5]	Z = 1.1527 p p r T p r − 1.5183 p p r − 3.3389 T p r + 5.2344
	(1.5, 3.0]	Z = 0.0258 p p r T p r − 0.042 p p r + 0.8797 T p r − 0.6195
B (5.4,30.0)	(1.02, 1.6]	Z = 0.0202 p p r T p r − 0.0002 p p r + 0.0227 T p r + 0.741
B (5.4,30.0)	(1.6, 3.0]	Z = 0.046 p p r T p r − 0.0503 p p r − 0.4054 T p r + 1.5685

Table 4 Calculation comparison of natural gas PVT blind samples

Blind sample number		Ⅰ	Ⅱ	Ⅲ	Ⅳ
p_pr		2.615	11.725	11.565	19.727
T_pr		1.34	1.85	1.79	1.94
Gas deviation coefficient	Experimental value	0.8242	1.2397	1.2224	1.5564
	DAK	0.6744	1.2278	1.2236	1.6466
	DPR	0.6737	1.2297	1.2249	1.6444
	BB	0.6974	1.2424	1.2328	1.7670
	HY	0.6756	1.2305	1.2270	1.6428
	Improved Gopal	0.8291	1.2259	1.2128	1.5492
Relative error/%	DAK	18.17	0.96	0.09	5.79
	DPR	18.26	0.81	0.20	5.66
	BB	15.39	0.21	0.85	313.53
	HY	18.03	0.74	0.37	5.55
	Improved Gopal	0.60	1.11	0.79	0.46

coefficient methods were used for calculation. The DAK, DPR, BB, HY and LXF methods have great limitations, and the calculated values within the distribution range of 1.7 < T_pr < 2.2 and 9 < p_pr < 16 have good accuracy. However, for the wide distribution of T_pr and p_pr in the research field, the calculation effect cannot be satisfied. By the Gopal method, the calculation error is smaller and has a good effect (Table 4).

5. Conclusions

1) Within the research range, the gas-liquid phase transition did not occur in the natural gas with high-CO₂ content during the experimental changes of temperature and pressure.

2) As the pressure increases, the deviation coefficient of natural gas first decreases and then increases, and the minimum pressure changes according to the CO₂ content. When the pressure is the same, the deviation coefficient changes with the temperature change law. When the pressure is less than 60 MPa, the deviation coefficient increases with the rise of temperature. When the pressure is more than 60 MPa, the deviation coefficient decreases with the rise of temperature.

3) Different deviation coefficient calculation methods are used to calculate the deviation coefficient of natural gas with high-CO₂ content in the Dongfang area, and the calculation results have a large deviation. Through the improved Gopal method, the calculation effect is good.

Conflicts of Interest

The author declares no conflicts of interest regarding the publication of this paper.

Cite this paper

Zhou, T. (2022) Study on Phase Transition and Gas Deviation Coefficient of Natural Gas with High Carbon Dioxide Content. International Journal of Geosciences, 13, 269-280. https://doi.org/10.4236/ijg.2022.134014

References1

GB/T 26981-2020 Analysis Method for Reservoir Fluid Physical Properties.

Sun, Z.D., Hu, Y.L., Li, Y.J., et al. (2003) Engineering Research on Early Development of Condensate Gas Reservoirs. Petroleum Industry Press, Beijing, 69-90.

He, G.S. (2011) Reservoir Physics. Petroleum Industry Press, Beijing, 121-133.

Guo, X., Du, Z.M., Yang, X.F., et al. (2008) Calculation Model of Gas Deviation Coefficient in Sour Gas Reservoirs. Natural Gas Industry, 28, 89-92.

Xiong, Z.F., Deng, J.H. and Chen, D. (2015) Evaluation on Calculation Method of Deviation Coefficient of Natural Gas in Northeastern Sichuan. Journal of Southwest Petroleum University (Natural Science Edition), 37, 60-66.

Chen

Q.H.

,et al. (1989)Method for Determining Sour Natural Gas Deviation Coefficient Trial Mining Technology 10, 1-5.

Yang, J.S. and Liu, J.Y. (1994) Practical Calculation of Gas Production. Petroleum Industry Press, Beijing.

Standing, M.B. and Katz, D.L. (1942) Density of Natural Gases. Transactions of the AIME, 146, 140-149. https://doi.org/10.2118/942140-G

Dranchuk, P.M., Purvis, R.A. and Robinson, D.B. (1973) Computer Calculation of Natural Gas Compressibility Factors Using the Standing and Katz Correlation. Petroleum Society of Canada: Annual Technical Meeting, Edmonton, 7-11 May 1973, Paper Number: PETSOC-73-112. https://doi.org/10.2118/73-112

Dranchuk, P.M. and Abou-Kassem, J.H. (1975) Calculation of Z-Factors for Natural Gases Using Epuations of State. Journal of Canada Petroleum Technology, 14, 34-36. https://doi.org/10.2118/75-03-03

Han

H.S.

,et al. (1994)Evaluation of Natural Gas Compression Factor Calculation Method Gas Storage and Transportation 13, 13-18.

Hall, K.R. and Yarborough, L. (1974) How to Solve Equation of State for Z-Factor Calculations. Oil & Gas Journal, 72, 86-88.