CO2驱最小混相压力预测模型研究

doi:10.13809/j.cnki.cn32-1825/te.2022.05.006

摘要/Abstract

摘要：

在分析CO₂驱最小混相压力影响因素及36组细管实验数据的基础上,运用灰色关联法计算了各因素对原油CO₂驱最小混相压力影响的关联度,并利用MATLAB（矩阵实验室）软件回归拟合了关于油藏温度、C₅₊相对分子质量、挥发烃组分（N₂+CH₄）摩尔分数和中间烃组分（CO₂+H₂S+C₂—C₄）摩尔分数的原油CO₂驱最小混相压力预测模型,拟合的相关系数达0.900 9。并选用某油田3口井油样最小混相压力细管实验测试的数据进行检验,建立的新预测模型计算误差平均值为3.57 %,能够用于指导油藏现场开发。

关键词: CO₂驱, 最小混相压力, 灰色关联法, 预测模型, 细管实验

Abstract:

Based on the analysis of the factors influencing the minimum miscibility pressure in CO₂ flooding and 36 groups of tubule experimental data, the correlation degree of each factor influencing the minimum miscibility pressure in CO₂flooding of crude oil is calculated by the grey correlation method. The prediction model of minimum miscible pressure in CO₂ flooding for crude oil is fitted by the MATLAB （Matrix Laboratory） software, which is related to the reservoir temperature, relative molecular weight of C₅₊, volatile hydrocarbon component （N₂+CH₄） content and intermediate hydrocarbon component （CO₂+H₂S+C₂—C₄） content. The fitting correlation coefficient reaches 0.900 9. The data of the minimum miscible pressure test of three wells in an oilfield are used to verify the new prediction model. The average error of calculation is 3.57 %, which can be used to guide the field development of the reservoirs.

Key words: CO₂flooding, minimum miscible pressure, grey correlation method, prediction model, tubule experiment

中图分类号:

TE341

潘毅,赵秋霞,孙雷等. CO₂驱最小混相压力预测模型研究[J]. 油气藏评价与开发, 2022, 12(5): 748-753.

Yi PAN,Qiuxia ZHAO,Lei SUN, et al. Prediction model of minimum miscible pressure in CO₂ flooding[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(5): 748-753.

图/表 5

图1

表1

最小混相压力影响因素数据[17⇓⇓⇓⇓-22]"

序号	t（℃）	M_C5+	M_C7+	X_vol（%）	X_int（%）	X_C2—C4（%）	X_C2—C6（%）	MMP（MPa）
1	96.60	217.00	224.00	0.04	7.39	6.99	10.96	26.62
2	103.00	222.30	233.10	0.08	4.45	3.95	9.89	29.23
3	110.00	262.40	269.70	0.10	1.05	1.05	4.37	29.34
4	84.00	202.90	208.40	0.18	2.18	0.85	5.85	22.11
5	107.00	284.50	320.60	0.18	10.02	8.67	13.30	29.54
6	101.60	301.00	310.00	1.77	4.35	3.72	7.19	31.30
7	99.00	254.00	265.00	1.97	11.78	11.44	15.39	22.30
8	108.00	283.00	293.00	2.13	6.80	6.32	9.52	27.90
9	101.00	265.00	275.00	0.48	13.64	6.47	9.95	24.10
10	66.00	380.00	391.00	1.63	11.84	11.46	13.37	20.00
11	106.00	224.00	233.00	2.34	6.20	7.04	10.69	26.00
12	42.80	204.00	222.00	17.00	26.31	25.31	28.80	10.69
13	32.20	188.00	206.00	11.00	16.24	15.26	25.00	7.58
14	110.00	181.00	185.00	33.00	32.15	30.12	36.00	20.20
15	71.10	221.00	227.00	41.00	6.84	6.25	7.00	23.44
16	102.20	205.00	210.00	51.00	7.56	6.99	10.00	28.17
17	67.80	204.00	210.00	31.00	22.15	21.30	23.00	16.89
18	112.20	214.00	220.00	33.00	18.26	16.23	28.00	24.15
19	80.00	241.00	245.00	53.00	8.12	2.36	9.00	26.75
20	31.10	205.00	240.00	12.00	19.45	15.23	24.20	8.10
21	73.30	210.00	218.00	49.00	6.89	6.25	8.84	24.13
22	40.00	202.00	221.00	24.00	25.46	23.54	30.70	9.07
23	54.40	169.00	190.00	30.00	30.14	28.46	37.30	11.78
24	48.90	214.00	227.00	16.00	25.16	24.13	31.00	10.58
25	40.00	191.00	205.00	9.30	21.05	14.26	31.00	8.78
26	78.90	265.02	279.88	31.68	22.15	4.62	5.81	23.11
27	112.00	274.16	280.25	17.28	15.26	8.26	10.62	25.21
28	43.60	230.76	265.48	8.73	9.23	5.43	7.31	13.56
29	97.00	213.20	225.40	9.97	14.23	5.12	6.88	19.96
30	68.00	203.12	214.83	14.89	6.25	3.15	7.73	17.29
31	103.30	195.04	202.69	45.29	28.47	16.24	20.15	22.70
32	80.00	168.23	197.00	13.00	45.50	13.24	14.12	23.45
33	121.10	241.00	245.38	26.58	30.25	7.45	8.56	23.60
34	72.90	214.00	220.98	55.18	10.39	3.21	4.26	40.50
35	120.80	302.15	319.00	30.67	18.89	6.58	10.24	41.15
36	92.60	187.64	198.00	57.13	24.23	7.16	9.95	34.20

表1

表2

图2

表3

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井号	t （℃）	M_C5+	X_vol （%）	X_int （%）	实验值（MPa）	计算值（预测值）（MPa）	相对误差的绝对值（%）	相对误差绝对值的平均值（%）
1	123.62	226.59	32.05	11.22	45.85	43.18	3.52	3.57
2	115.95	255.28	52.55	8.02	47.06	45.94	0.73
3	120.76	454.01	21.46	8.71	54.08	56.59	6.46

CO₂驱最小混相压力预测模型研究

Prediction model of minimum miscible pressure in CO₂ flooding

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