致密火山岩气藏产能方程修正方法研究与应用

doi:10.13809/j.cnki.cn32-1825/te.2024.02.004

Abstract

Abstract:

The binomial productivity equation is a pivotal tool for analyzing data in gas reservoir development, typically resolved using well test data. However, in tight volcanic gas reservoirs, the pressure remains stable and changes slowly, which can lead to challenges during productivity well tests. Specifically, the indication curve generated from measured data may have an intercept less than 0, rendering the equation unsolvable in its standard form, thereby necessitating a correction to the formula. Taking the Well-C2 of tight volcanic gas reservoir as an example, the reason of abnormal indication curve is analyzed. By reviewing and adapting existing equation correction methods, the bottom hole flowing pressure data from the productivity test well is adjusted, leading to the derivation of a new corrected binomial productivity equation. It is applied to the tight volcanic gas well, and the result is more stable than the result of single-point method. It can fully leverage the well test data and provide the basis for the calculation of open flow capacity and the formulation of subsequent development and production plan.

Key words: tight volcanic gas reservoir, binomial equation, productivity equation correction, abnormal indicator curve, open flow capacity

CLC Number:

TE33

Yixin QIU. Research and application of productivity equation correction method for tight volcanic gas reservoirs[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(2): 190-196.

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References 26

[1]	黄炳光, 冉新权, 李晓平. 气藏工程分析方法[M]. 北京: 石油工业出版社, 2004.
	HUANG Bingguang, RAN Xinquan, LI Xiaoping. Gas reservoir engineering analysis[M]. Beijing: Petroleum Industry Press, 2004.
[2]	李晓平, 李允. 气井产能分析新方法[J]. 天然气工业, 2004, 24(2): 76-78.
	LI Xiaoping, LI Yun. A new way to analyze productivity of gas wells[J]. Natural Gas Industry, 2004, 24(2): 76-78.
[3]	苟宏刚, 赵继承, 秦志保, 等. 二项式产能方程系数异常情况(B小于零)分析[J]. 新疆石油地质, 2006, 27(2): 210-212.
	GOU Honggang, ZHAO Jicheng, QIN Zhibao, et al. Analysis of abnormal binomial coefficient(B<0)for binomial deliverability equation[J]. Xinjiang Petroleum Geology, 2006, 27(2): 210-212.
[4]	王怒涛, 黄炳光, 梁尚斌, 等. 气井产能分析方法研究[J]. 大庆石油地质与开发, 2004, 23(1): 33-34.
	WANG Nutao, HUANG Bingguang, LIANG Shangbin, et al. Analysis method for gas well deliverability[J]. Daqing Petroleum Geology and Development, 2004, 23(1): 33-34.
[5]	何云. 大牛地气田水平井动态产能预测方法[J]. 石油化工应用, 2018, 37(3): 15-19.
	HE Yun. Prediction method for dynamic productivity of horizontal wells in Daniudi gasfield[J]. Petrochemical Industry Application, 2018, 37(3): 15-19.
[6]	刘永良, 袁迎中, 邓力菁, 等. 一种确定水平气井二项式产能方程的新方法[J]. 天然气地球科学, 2016, 27(2): 371-376.
	LIU Yongliang, YUAN Yingzhong, DENG Lijing, et al. A new method for binomial deliverability equation of horizontal gas well[J]. Natural Gas Geoscience, 2016, 27(2): 371-376.
[7]	李晓平. 利用气井压力恢复资料求产能方程和排泄半径[J]. 断块油气田, 2001, 8(1): 24-26.
	LI Xiaoping. Determining deliverability equation and drainag radius using pressure buildup data of gas well[J]. Fault-Block Oil & Gas Field, 2001, 8(1): 24-26.
[8]	李祖友, 杨筱璧, 罗东明. 高压气井二项式产能方程[J]. 特种油气藏, 2008, 15(3): 62-64.
	LI Zuyou, YANG Xiaobi, LUO Dongming. Binominal deliverability equation of high pressure gas well[J]. Special Oil and Gas Reservoirs, 2008, 15(3): 62-64.
[9]	余元洲, 张彩, 杨丽容, 等. 不同压力下确定凝析气井二项式产能方程的一种新方法[J]. 天然气工业, 2006, 26(3): 84-86.
	YU Yuanzhou, ZHANG Cai, YANG Lirong, et al. A new approach of establishing binomial deliverability equation of gas condensate well at different pressures[J]. Natural Gas Industry, 2006, 26(3): 84-86.
[10]	杨程博, 郭建春, 杨建, 等. 低渗气藏水平井二项式产能方程修正[J]. 西南石油大学学报(自然科学版), 2014, 36(4): 123-130.
	YANG Chengbo, GUO Jianchun, YANG Jian, et al. Modification of horizontal well binomial deliverability equation of low permeability gas reservoir[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2014, 36(4): 123-130.
[11]	龚程. 低渗致密异常高压凝析气藏物质平衡方程及产能研究[D]. 成都: 西南石油大学, 2017.
	GONG Cheng. Study on material equilibrium equation and productivity of low permeability tight abnormal high pressure Condensate gas reservoir[D]. Chengdu: Southwest Petroleum University, 2017.
[12]	王卫红, 沈平平, 马新华, 等. 低渗透气藏气井产能试井资料分析方法研究[J]. 天然气工业, 2005, 25(11): 76-78.
	WANG Weihong, SHEN Pingping, MA Xinhua, et al. Data analysis method of gas well productivity test for low permeability gas reservoirs[J]. Natural Gas Industry, 2005, 25(11): 76-78.
[13]	赵洪涛. 凝析气井异常产能评价[J]. 化工管理, 2021, 28(22): 197-198.
	ZHAO Hongtao. Abnormal productivity evaluation of condensate gas well[J]. Chemical Management, 2021, 28(22): 197-198.
[14]	李树博, 郭旭光, 郑孟林, 等. 准噶尔盆地东部西泉地区石炭系火山岩岩性识别[J]. 岩性油气藏, 2021, 33(1): 258-266.
	LI Shubo, GUO Xuguang, ZHENG Menglin, et al. Lithology identification of carboniferous volcanic rocks in Xiquan area, eastern Junggar Basin[J]. Lithologic Reservoirs, 2021, 33(1): 258-266.
[15]	姜梅枝. 气井二项式产能方程曲线斜率为负值原因分析及方程修正[J]. 油气井测试, 2013, 22(2): 25-28.
	JIANG Meizhi. Binomial productivity equation slope of the curve for the analysis of the negative reasons and equation correction in gas well[J]. Well Testing, 2013, 22(2): 25-28.
[16]	刘艳梅. 气井二项式产能曲线反向修正方法[J]. 油气井测试, 2011, 20(6): 17-19.
	LIU Yanmei. Method of reverse correction for binomial production curve of gas well[J]. Well Testing, 2011, 20(6): 17-19.
[17]	田婉玲, 齐二坡, 吴茂富, 等. 气井试井产能分析新方法与新模型应用[J]. 天然气与石油, 2012, 30(4): 46-49.
	TIAN Wanling, QI Erpo, WU Maofu, et al. Application of new method and new model of gas well test capacity[J]. Natural Gas and Oil, 2012, 30(4): 46-49.
[18]	马帅, 张风波, 王雯娟, 等. 高压低渗气井产能二项式改进与求解[J]. 西南石油大学学报(自然科学版), 2020, 42(4): 121-126.
	MA Shuai, ZHANG Fengbo, WANG Wenjuan, et al. Improvement and solution binomial production formula of high pressure and low permeability gas wells[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2020, 42(4): 121-126.
[19]	李士伦, 王鸣华, 何江川, 等. 气田与凝析气田开发[M]. 北京: 石油工业出版社, 2008.
	LI Shilun, WANG Minghua, HE Jiangchuan, et al. Gas and condensate field development[M]. Beijing: Petroleum Industry Press, 2008.
[20]	LEE J. Well testing[M]. London: Society of Petroleum Engineers, 1982.
[21]	陈元千. 确定气井绝对无阻流量的简单方法[J]. 天然气工业, 1987, 7(1): 59-63.
	CHEN Yuanqian. A simple method for determining absolute open flow rate of gas well[J]. Natural Gas Industry, 1987, 7(1): 59-63.
[22]	冯义, 任凯, 王茜. 牛东火山岩油藏自喷井嘴流公式的研究与应用[J]. 石油地质与工程, 2023, 37(1): 100-102.
	FENG Yi, REN Kai, WANG Qian. Research and application of the formula of the nozzle flowing in flowing wells of Niudong volcanic reservoir[J]. Petroleum Geology & Engineering, 2023, 37(1): 100-102.
[23]	田玉明. 致密砂岩气藏储层应力敏感性研究[D]. 北京: 中国石油大学(北京), 2017.
	TIAN Yuming. Study on stress sensitivity of tight sandstone gas reservoirs[D]. Beijing: China University of Petroleum(Beijing), 2017.
[24]	曾旭, 卞从胜, 沈瑞, 等. 渤海湾盆地歧口凹陷古近系沙三段页岩油储层非线性渗流特征[J]. 岩性油气藏, 2023, 35(3): 40-50.
	ZENG Xu, BIAN Congsheng, SHEN Rui, et al. Nonlinear seepage characteristics of shale oil reservoirs of the third member of Paleogene Shahejie Formation in Qikou Sag,Bohai Bay Basin[J]. Lithologic Reservoirs, 2023, 35(3): 40-50.
[25]	谢伟. 长岭气田气井动态分析评价研究[D]. 大庆: 东北石油大学, 2013.
	XIE Wei. Evaluation and research on well performance analysis with Changling gas field[D]. Daqing: Northeast Petroleum University, 2013.
[26]	闫利恒, 王延杰, 麦欣, 等. 克拉美丽气田火山岩气藏配产方法优选[J]. 天然气工业, 2012, 32(2): 51-53.
	YAN Liheng, WANG Yanjie, MAI Xin, et al. Optimization of production allocation methods for volcanic gas reservoirs in the Kelameili Gas Field[J]. Natural Gas Industry, 2012, 32(2): 51-53.

p_D	q_AOF/10⁴ m³
0.35	8.14
0.66	7.27
0.87	7.62
0.92	6.68

流压/MPa	末点流压变化量/（MPa/d）	稳定趋势
61.39	1.64	未稳定
52.30	1.18	未稳定
40.89	1.37	未稳定
36.81	0.83	未稳定

q_sc/10⁴ m³	C_w_i	(p_e²-p_wf²-C_w)/q_sc
4.40	-475.12	317.40
5.72	-402.40	412.34
7.05	-311.12	472.15
6.35	-278.48	569.07

阶段	起点井口压力/MPa	末点井口压力/MPa	井口压降速率/（MPa/d）	平均日产气量/10⁴ m³
1	46.66	36.95	0.759	6.98
2	53.00	15.05	0.904	5.12
3	14.15	6.20	0.101	2.65
4	6.17	1.60	0.019	1.36

井号	井底流压/MPa	产量/10⁴ m³
C23井	42.1	2.5
	31.6	3.6
	22.7	4.5

Research and application of productivity equation correction method for tight volcanic gas reservoirs

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q_sc/10⁴ m³	p_wf/MPa	C_w_i	(p_e²-p_wf²-C_w_i)/q_sc
2.50	42.10	-242.69	245.51
3.60	31.60	-179.93	360.38
4.50	22.70	-126.74	383.88

阶段	起点井口压力/MPa	末点井口压力/MPa	井口压降速率/（MPa/d）	平均日产气量/10⁴ m³
1	32.6	28.0	0.52	5.28
2	28.0	27.1	0.38	5.30
3	28.1	25.6	0.25	4.46
4	25.6	2.4	0.21	3.35
5	2.0	0.8	0.01	1.53

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