川东南页岩气井压裂参数对开发效果的影响——以LP-133HF井为例

Abstract

Abstract:

Before the design of the horizontal wells' fracture, we took the well LP-133HF in the half deep to deep layer of the overpressure shale gas reservoir in southeast Sichuan basin as the research object. And by the software--CMG, we established the numerical model of the single well to simulate the sensibility of the fracture parameters of the horizontal wells and analyze the potential production promoting factors. The results showed that four factors, that is, the fracture conductivity, fracture half length, fracturing length and well spacing, affected most on the development of the shale gas wells, while the single fracturing length had the minimal effect and negative correlation. Finally, we obtained a set of fracturing parameters suitable for well LP-133HF, which is proved to be credible in field application. This analysis method is reliable and applicable for the guidance of the fracturing design. It has certain promotion significance.

Key words: shale gas, production analysis, CMG, fracturing parameter, fracture conductivity

CLC Number:

TE37

Liu Xin,Zhang Lina,Zhang Yaozu. Influence of fracturing parameters on development effects of shale gas wells in southeast Sichuan basin: A case of well LP-133HF[J].Reservoir Evaluation and Development, 2018, 8(5): 77-80.

Figures/Tables 7

Table 1

Table 2

Fig. 1

Table 3

Table 4

Table 5

Fig. 2

References 7

[1]	潘晨 . 水平井分段压裂技术在页岩油金页-1HF井的现场应用[J]. 油气藏评价与开发, 2012,2(5):73-77.
[2]	蒋廷学, 周健, 张旭 , 等. 深层页岩气井裂缝扩展及导流特性研究及展望[J]. 中国科学:物理学、力学、天文学, 2017,47(11):33-40.
[3]	Olson J E. Multi-fracture propagation modeling: applications to hydraulic fracturing in shales and tight gas sands[C]// paper ARMA-08-327 presented at the 42nd U.S. Rock Mechanics Symposium(USRMS), 29 June-2 July 2008, San Francisco, California, USA.
[4]	裴森龙 . 多级压裂技术在龙马溪组页岩中的适应性研究[D]. 北京:中国地质大学(北京), 2013.
[5]	Li Y, Wei C, Qin G, et al. Numerical simulation of hydraulically induced fracture network propagation in shale formation[C]// paper IPTC-16981-MS presented at the International Petroleum Technology Conference, 26-28 March 2013, Beijing, China.
[6]	Kresse O, Weng X W, Gu H R, et al. Numerical modeling of hydraulic fractures interaction in complex naturally fractured formations[C]// paper ARMA-2012-292 presented at the 46th U.S. Rock Mechanics/Geomechanics Symposium, 24-27 June 2012, Chicago, Illinois, USA.
[7]	C Yetkin, Nitec LLC, T Firincioglu, et al. A new simulation-based process to predict the impact of hydraulic fracture parameters on EUR: A tight gas field example[C]// paper SPE-161350-MS presented at the SPE Eastern Regional Meeting, 3-5 October 2012, Lexington, Kentucky,USA.

裂缝导流系数F_CD/（10^-3μm²·m）	裂缝半长/m	单段长/m	压裂段长/m	井距/m—比例配产	井距/m—同配产
0.01	10	40	600	200	200
0.05	30	60	800	300	300
0.1	50	80	1 000	400	400
0.5	70	100	1 200	500	500
1.0	90	120	1 400	600	600
1.5	110	140	1 600	700	700
2.0	130	160	1 800	800	800

参数	取值	累产气量 /(10⁷m³)	平均日产气量 /(10⁴m³·d^-1)	稳产时间/d	采出程度,%
导流系数F_CD/（10^-3μm²·m）	0.001	74.61	1.36	5	13.93
	0.05	74.80	1.37	21	13.97
	0.1	76.65	1.40	45	14.31
	0.5	92.15	1.68	73	17.21
	1.0	159.37	2.91	152	29.76
	1.5	224.06	4.09	669	41.84
	2.0	243.84	4.45	988	45.54

参数	取值	累产气量/(10⁷m³)	平均日产气量/(10⁴m³·d^-1)	稳产时间/ d	采出程度, %
裂缝半长x_f/m	10	98.33	1.79	7	18.36
	30	126.65	2.31	20	23.65
	50	158.75	2.90	181	29.65
	70	184.97	3.38	365	34.54
	90	209.76	3.83	546	39.17
	110	231.92	4.23	790	43.31
	130	247.14	4.51	988	46.15

参数	取值	累产气量/(10⁷m³)	平均日产气量/(10⁴m³·d^-1)	稳产时间/ d	采出程度, %
单段长/m	40	276.09	5.04	1 905	46.40
	60	274.99	5.02	1 876	46.22
	80	273.90	5.00	1 826	46.04
	100	271.40	4.95	1 800	45.61
	120	266.65	4.87	1 492	44.82
	140	256.94	4.69	1 339	43.19
	160	242.96	4.44	943	40.83

参数	取值	累产气量/(10⁷m³)	平均日产气量/(10⁴m³·d^-1)	稳产时间/d	采出程度, %
压裂段长/m	600	127.57	2.33	10	19.85
	800	168.38	3.07	212	26.20
	1 000	205.50	3.75	546	31.98
	1 200	237.00	4.33	882	36.88
	1 400	260.64	4.76	1 271	40.56
	1 600	273.17	4.98	1 734	42.51
	1 800	273.90	5.00	1 826	42.63

Influence of fracturing parameters on development effects of shale gas wells in southeast Sichuan basin: A case of well LP-133HF

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 7

Related Articles 15

Metrics

Comments

Recommended 10

[1]	YAO Hongsheng, WANG Wei, HE Xipeng, ZHENG Yongwang, NI Zhenyu. Development practices of geology-engineering integration in complex structural area of Nanchuan normal pressure shale gas field [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 537-547.
[2]	LI Jingchang, LU Ting, NIE Haikuan, FENG Dongjun, DU Wei, SUN Chuanxiang, LI Wangpeng. Confidence evaluation of fractures seismic detection in shale gas formations on WY23 Pad in Weirong [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 614-626.
[3]	XIA Haibang, HAN Kening, SONG Wenhui, WANG Wei, YAO Jun. Pore scale fracturing fluid occurrence mechanisms in multi-scale matrix-fracture system of shale gas reservoir [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 627-635.
[4]	HAN Kening, WANG Wei, FAN Dongyan, YAO Jun, LUO Fei, YANG Can. Production forecasting for normal pressure shale gas wells based on coupling of production decline method and LSTM model [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 647-656.
[5]	XUE Gang, XIONG Wei, ZHANG Peixian. Genesis analysis and effective development of normal pressure shale gas reservoir: A case of Wufeng-Longmaxi shale gas reservoir in southeast margin of Sichuan Basin [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 668-675.
[6]	KONG Xiangwei,XIE Xin,WANG Cunwu,SHI Xian. Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 433-440.
[7]	LOU Zhanghua, ZHANG Xinke, WU Yuchen, GAO Yuqiao, ZHANG Peixian, JIN Aimin, ZHU Rong. Fluid response characteristics of shale gas preservation differences in Nanchuan and its adjacent blocks in Sichuan Basin [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 451-458.
[8]	HU Zhijian, LI Shuxin, WANG Jianjun, ZHOU Hong, ZHAO Yulong, ZHANG Liehui. Productivity evaluation of multi-stage fracturing horizontal wells in shale gas reservoir with complex artificial fracture occurrence [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 459-466.
[9]	LIN Hun, SUN Xinyi, SONG Xixiang, MENG Chun, XIONG Wenxin, HUANG Junhe, LIU Hongbo, LIU Cheng. A model for shale gas well production prediction based on improved artificial neural network [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 467-473.
[10]	LIU Honglin,ZHOU Shangwen,LI Xiaobo. Application of PCA plus OPLS method in rapid reserve production rate prediction of shale gas wells [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(4): 474-483.
[11]	LU Bi,HU Chunfeng,MA Jun. Influencing factors and countermeasures of inter-well interference of fracturing horizontal wells in Nanchuan shale gas field [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(3): 330-339.
[12]	QIU Xiaoxue,ZHONG Guanghai,LI Xiansheng,CHEN Meng,LING Weitong. CFD simulation of flow characteristics of shale gas horizontal wells with different inclination [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(3): 340-347.
[13]	NIE Yunli, GAO Guozhong. Classification of shale gas “sweet spot” based on Random Forest machine learning [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(3): 358-367.
[14]	ZHANG Longsheng,WANG Weiheng. Study and application of a high temperature foaming agent in anionic-nonionic system namely HDHP: A case study of shale gas wells in Dongsheng Block, Sichuan Basin [J]. Reservoir Evaluation and Development, 2023, 13(2): 240-246.
[15]	ZHAO Renwen,XIAO Dianshi,LU Shuangfang,ZHOU Nengwu. Comparison of reservoir characteristics between continental shale from faulted basin and marine shale under high-over mature stage: Taking Shahezi Formation in Xujiaweizi faulted basin and Longmaxi Formation in Sichuan Basin as an example [J]. Reservoir Evaluation and Development, 2023, 13(1): 52-63.