一种新型泡点压力预测模型的建立和应用——以塔里木油区为例

doi:10.13809/j.cnki.cn32-1825/te.2022.06.012

Abstract

Abstract:

Bubble point pressure（p_b） is an essential parameter for determining reservoir type, formulating reservoir development scheme and reservoir engineering calculation. It is also the basis for calculating oilfield reserves and selecting oil well working system. In order to conveniently and rapidly predict the bubble point pressure value of reservoir fluid, the empirical model for determining the bubble point pressure value of deep complex reservoir fluid is described based on a large number of PVT high-pressure physical property test data. And the main controlling factors affecting the bubble point pressure of oil in deep complex reservoir of Tarim oildom are analyzed and determined. Meanwhile, A model for rapid prediction of reservoir fluid bubble point pressure is established. Based on 132 groups of sample data in Tarim oil area, the regression analysis is carried out by using digital simulation software, and the values of 10 influencing factors and related parameters of the new bubble point pressure model are obtained. It is verified by the supplementary PVT experimental data of 10 subsequent formation fluid samples. Compared with the existing empirical formula, the prediction model has better prediction effect.

Key words: complex reservoirs, bubble point pressure, conjugate-gradient, empirical formula, fitting and contrast

CLC Number:

TE344

Jiaying WANG,Renbao ZHAO,Shuxuan LI, et al. A new model to predict bubble point pressure: Its establishment and application in Tarim Oildom[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(6): 927-934.

Figures/Tables 21

Table 1

List of conventional empirical formulas"

常规经验公式	计算公式
STANDING	$p e x p = 24.46 R s γ g 0.83 × 10 1.638 × 10 - 3 T - 1.768 ? 6 γ o$
LASATER	$p e x p = 0.024 ? 2 T + 273 4.239 ? 5 y g 3.52 + 1 γ g ； y g = R s R s + 24 ? 056 γ o M o$ $γ o ≥ 0.834 ? 8 时， M o = 646.958 ? 8 - 1 ? 372.128 ? 7 1.076 γ o - 1$ $0.834 ? 8 ＞ γ o ＞ 0.788 ? 3 时， M o = 490.223 ? 7 - 857.627 ? 3 1.076 γ o - 1$ $γ o ＜ 0.788 ? 3 时， M o = 438.888 ? 9 - 730.555 ? 6 1.076 γ o - 1$
GLASO	$l o g p e x p = 1.744 ? 7 l o g p e x p * - 0.302 ? 18 l o g p e x p * 2 - 0.394 ? 6$ $p e x p * = 4.087 ? 6 R s γ g 0.816 1.821 ? 3 5.625 × 10 - 2 T + 1 0.173 124.628 ? 5 1.076 γ o - 1 0.989$
AL-MARHOUN	$p e x p = 0.470 ? 751 R s 0.715 ? 082 γ g - 1.877 ? 840 γ o 3.143 ? 700 (3.658 ? 5 × 10 - 3 T + 1) 1.326 ? 570$
DOKLA-QSMAN	$p e x p = 0.544 ? 021 R s 0.724 ? 047 γ g - 1.010 ? 49 γ o 0.107 ? 991 (3.658 ? 5 × 10 - 3 T + 1) 0.952 ? 584$

Table 1

Table 2

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

Table 3

Table 4

Table 5

Fig. 13

Table 6

Table 7

Fig. 14

References 20

[1]	丁勇. 塔河油田奥陶系油气藏流体分布与受控因素[J]. 海相油气地质, 2016, 21(1): 13-18.
	DING Yong. Distribution and control factors of fluids in Ordovician reservoirs in Tahe oilfield[J]. Marine Origin Petroleum Geology, 2016, 21(1): 13-18.
[2]	高志飞, 许寻, 王坤, 等. 低渗、特低渗轻质油藏溶解气驱气体流动临界饱和度研究——以中原油田为例[J]. 石油地质与工程, 2021, 35(3): 63-66.
	GAO Zhifei, XU Xun, WANG Kun, et al. Study on gas critical gas saturation of dissolved gas flooding in light oil reservoir with low permeability and ultralow permeability: By taking Zhongyuan oilfield as an example[J]. Petroleum Geology and Engineering, 2021, 35(3): 63-66.
[3]	朱化蜀. 油气藏流体高压物性参数及相态特征预测方法研究[D]. 成都: 西南石油大学, 2006.
	ZHU Huashu. Study on prediction method of high pressure physical parameters and phase-behavior characteristics of fluid in oil and gas reservoir[D]. Chengdu: Southwest Petroleum University, 2006.
[4]	王守龙, 李爱芬, 付帅师, 等. CO₂对曲塘区块地层油高压物性影响研究[J]. 科学技术与工程, 2016, 16(23): 173-176.
	WANG Shoulong, LI Aifen, FU Shuaishi, et al. Study of the effect of CO₂ on PVT of Qutang field[J]. Science Technology and Engineering, 2016, 16(23): 173-176.
[5]	STANDING M B. A pressure-volume-temperature correlation for mixtures of California oils and gases[J]. Drilling & Production Practice, 1947: 275-287.
[6]	LASATER J A. Bubble point pressure correlation[J]. Journal of Petroleum Technology, 1958, 10(5): 65-67. doi: 10.2118/957-G
[7]	GLASO O. Generalized pressure-volume temperature correlations[J]. Journal of Petroleum Technology, 1980, 32(5): 785-795. doi: 10.2118/8016-PA
[8]	李爱芬, 王守龙, 吕姣, 等. 地层原油组成差异对高压物性参数的影响[J]. 新疆石油地质, 2014, 35(3): 299-302.
	LI Aifen, WANG Shoulong, LYU Jiao, et al. Effect of the composition of formation crude oil on PVT data[J]. Xinjiang Petroleum Geology, 2014, 35(3): 299-302.
[9]	曹刚. 多层油藏层系重组开发指标预测方法[J]. 科学技术与工程, 2015, 15(4): 212-215.
	CAO Gang. Development index prediction method of layers recombination in multi-layer reservoirs[J]. Science Technology and Engineering, 2015, 15(4): 212-215.
[10]	石德佩, 孙雷, 李东平, 等. 关于烃-水体系相平衡研究的现状及新进展[J]. 西南石油学院学报, 2005, 27(3): 49-53.
	SHI Depei, SUN Lei, LI Dongping, et al. The domestic and abroad situation and the latest development of hydrocarbon-water phase equilibria[J]. Journal of Southwest Petroleum Institute, 2005, 27(3): 49-53.
[11]	范宁磊. 求解大规模全局优化问题的算法研究[D]. 西安: 西安电子科技大学, 2020.
	FAN Ninglei. Algorithms foe solving large-scale global optimization problems[D]. Xi’an: Xidian University, 2020.
[12]	尚飞. 遗传算法在图像处理中的应用研究[D]. 北京: 华北电力大学(北京), 2007.
	SHANG Fei. Application of the genetic algorithm in image processing[D]. Beijing: North China Electric Power University(Beijing), 2007.
[13]	李其朋. 黑油高压物性参数模拟方法及应用[J]. 油气地质与采收率, 2009, 16(3): 79-81.
	LI Qipeng. PVT parameters simulations method and application of black oil[J]. Petroleum Geology and Recovery Efficiency, 2009, 16(3): 79-81.
[14]	宋春涛. 考虑压力敏感和启动压力梯度的低渗透油藏数值模拟研究[J]. 科学技术与工程, 2012, 12(25): 6319-6326.
	SONG Chuntao. Numerical reservoir simulation considering threshold pressure gradient and stress sensitive phenomenon. Science Technology and Engineering, 2012, 12(25): 6319-6326.
[15]	常玉青, 宋考平. 非线性回归油藏指数敏感性分析[J]. 科学技术与工程, 2011, 11(22): 5411-5414.
	CHANG Yuqing, SONG Kaoping. Reservoir parameter sensitivity analysis with experimental design[J]. Science Technology and Engineering, 2011, 11(22): 5411-5414.
[16]	张晨朔, 范子菲, 许安著, 等. 含酸气挥发油藏回注溶解气对原油相态与物性的影响[J]. 科学技术与工程, 2016, 16(27): 152-156.
	ZHANG Chenshuo, FAN Zifei, XU Anzhu, et al. Study on the law of elastic recovery of tight reservoir and its influence factors[J]. Science Technology and Engineering, 2016, 16(27): 152-156.
[17]	张茂林, 梅海燕, 李闽, 等. 考虑毛细管压力作用的挥发油气体系相平衡模型[J]. 中国海上油气(地质), 2002, 16(5): 48-51.
	ZHANG Maolin, MEI Haiyan, LI Min, et al. A phase equilibrium model in volatile petroleum system under consideration of capillary pressure[J]. China Offshore Oil and Gas(Geology), 2002, 16(5): 48-51.
[18]	王高峰, 秦积舜, 胡永乐, 等. 低渗透油藏气驱“油墙”物理性质描述[J]. 科学技术与工程, 2017, 17(1): 29-35.
	WANG Gaofeng, QIN Jishun, HU Yongle, et al. Physical property description of gas flooding “Oil Bank” in tight reservoirs[J]. Science Technology and Engineering, 2017, 17(1): 29-35.
[19]	李文杰, 周光辉, 曹尹平. 一种下降的混合共轭梯度法[J]. 淮北师范大学学报(自然科学版), 2021, 42(2): 9-15.
	LI Wenjie, ZHOU Guanghui, CAO Yinping. A descent hybrid conjugate gradient method[J]. Journal of Huaibei Normal University(Natural Science), 2021, 42(2): 9-15.
[20]	谭承军. 地层原油的泡点压力, 体积系数经验公式在塔里木的应用[J]. 试采技术, 1994, 15(1): 47-53.
	TAN Chenjun. Application of empirical formula for bubble point pressure and volume coefficient of formation crude oil in Tarim[J]. Trial Testing and Production Technology, 1994, 15(1): 47-53.

经验公式	p_b（MPa）	R_s（m³/m³）	γ_g	γ_o	T（℃）	CO₂含量（%）	N₂含量（%）
STANDING	0.90~24.64	3.56~253.60	0.75~1.37	0.73~0.96	37.80~126.00
GLASO	1.03~48.26
LASATER	0.33~39.85	0.53~517.38	0.57~1.22	0.77~0.95	27.80~133.44
AL-MARHOUN	0.10~45.79	0~588.08	0.58~2.51	0.76~1.00	24.00~149.00
DOKLA-QSMAN	4.07~31.99	32.60~408.15	0.80~1.29	0.82~0.89	87.78~135.00	0.37 ~ 8.90	0~3.89
塔里木油区	1.90~74.30	3.00~713.00	0.61~1.50	0.78~1.02	83.60~164.40	0~13.70

序号	模型参数	对应影响因素
1	P₁	溶解气油比R_s（m³/m³）
2	P₂	溶解气相对密度γ_g
3	P₃	地层温度T（℃）
4	P₄	脱气原油相对密度γ_o
5	P₅	CO₂摩尔分数（%）
6	P₆	N₂和C₁摩尔分数（%）
7	P₇	C₂—C₆的摩尔分数（%）
8	P₈	C₇₊的摩尔分数（%）
9	P₉	临界压力p_cr（MPa）
10	P₁₀	临界温度T_cr（℃）

序号	模型参数	最优解	序号	模型参数	最优解
1	P₁	0.032 7	6	P₆	-0.448 1
2	P₂	0.786 8	7	P₇	-0.016 9
3	P₃	-0.254 2	8	P₈	0.194 5
4	P₄	0.950 8	9	P₉	0.017 2
5	P₅	4.072 3	10	P₁₀	0.870 6

序号	模型参数	最优解
1	P₁	-0.094 2
2	P₂	-0.515 3
3	P₃	2 497.081 9
4	P₄	-0.099 6
5	P₅	-0.009 6
6	P₆	0.927 9
7	P₇	0.095 9

序号	井号	泡点压力p_b（MPa）	气油比 R_s（m³/m³）	脱气原油相对密度γ_o	地层温度T（℃）	溶解气相对密度γ_g	CO₂摩尔分数（%）	N₂和C₁ 摩尔分数（%）	C₂—C₆的摩尔分数（%）	C₇₊的摩尔分数（%）	临界压力p_cr（MPa）	临界温度T_cr（℃）
1	YM322-H3	7.75	33.00	0.90	117.40	0.84	0.91	18.83	12.76	67.50	5.11	407.60
2	ST2-9	18.53	88.00	0.78	103.70	0.83	0.09	39.74	14.84	45.33	7.35	410.80
3	YM33	14.28	89.00	1.03	130.30	0.83	0.87	25.56	28.29	45.28	7.15	439.50
4	JY1-1	19.80	128.00	0.89	153.80	0.82	1.01	35.82	23.64	39.53	9.03	412.00
5	TZ62-2	37.32	154.00	0.64	132.30	0.84	2.00	58.57	4.15	35.28	17.54	431.00
6	QL1	30.68	156.00	0.77	113.40	0.84	0.11	50.68	17.32	31.89	12.90	452.80
7	LG11-1	50.02	172.00	0.61	118.00	0.86	1.35	65.93	2.56	30.16	15.86	482.00
8	YM17-1	50.09	207.00	0.65	105.80	0.85	0.09	63.62	8.89	27.40	23.58	469.70
9	ZG15-2	34.28	317.00	0.78	134.40	0.79	3.37	57.37	14.98	24.28	25.05	318.90
10	YM1	39.48	415.00	0.67	156.50	0.80	1.16	67.13	17.74	13.97	22.13	313.60

A new model to predict bubble point pressure: Its establishment and application in Tarim Oildom

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 21

References 20

Related Articles 8

Metrics

Comments

Recommended 0

经验公式	模型考虑因素个数	泡点压力绝对误差平均值（MPa）	相对误差平均值（%）
STANDING	4	6.74	12.5
LASATER	4	8.16	19.4
GLASO	4	5.63	12.9
AL-MARHOUN	4	5.37	1.6
DOKLA-QSMAN	4	13.25	44.4
新模型	10	1.87	0.3

[1]	XU Yandong, TAO Shan, HE Hui, WAN Xiaoyong, ZOU Ning, YUAN Hongfei. Well test model of vertical double-hole channeling considering gravity [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(6): 827-833.
[2]	XUN Wei,WANG Bencheng,YANG Lijuan,ZHANG Mingdi,WEN Shanzhi,GAO Shunhua. Application of rate-transient analysis in Yuanba Gas Field [J]. Petroleum Reservoir Evaluation and Development, 2021, 11(4): 652-658.
[3]	TANG Lei,WANG Jianfeng,CAO Jinghua,YANG Min,LI Shuanggui. Geology-engineering integration mode of ultra-deep fault-karst reservoir in Shunbei area, Tarim Basin [J]. Petroleum Reservoir Evaluation and Development, 2021, 11(3): 329-339.
[4]	HU Wenge. Development technology and research direction of fractured-vuggy carbonate reservoirs in Tahe Oilfield [J]. Reservoir Evaluation and Development, 2020, 10(2): 1-10.
[5]	LI Xiaobo,LIU Xueli,YANG Ming,TAN Tao,LI Qing,LIU Hongguang,ZHANG Yixiao. Study on relationship optimization of injection and production in fractured-vuggy reservoirs with different karst background [J]. Reservoir Evaluation and Development, 2020, 10(2): 37-42.
[6]	YANG Ming,LI Xiaobo,TAN Tao,LI Qing,LIU Honggunag,ZANG Yixia. Remaining oil distribution and potential tapping measures for palaeo-subterranean river reservoirs: A case study of TK440 well area in Tahe Oilfield [J]. Reservoir Evaluation and Development, 2020, 10(2): 43-48.
[7]	ZHANG Bingyan,CHEN Xiaofan,YUE Ping. Research on unit mining by elastic drive of fractured-vuggy carbonate reservoir with bottom water by water intrusion [J]. Reservoir Evaluation and Development, 2020, 10(2): 71-75.
[8]	DU Chunhui,QIU He,CHEN Xiaofan,TIAN Liang,YUE Ping,LI Lu,YAO Junbo,WEI bo. Application of flow potential analysis technique based on numerical simulation in the development of fractured-vuggy reservoir [J]. Reservoir Evaluation and Development, 2020, 10(2): 83-89.