南川区块断层精细解释研究

Abstract

Abstract:

In order to further determine the distribution characteristics of the faults in Nanchuan district, we adopted the "three stories" structure for the fine structure interpretation, and combined with the technology such as the frequency division fusion, inclination of coherent, curvature, structure entropy, AFE and dip angle of curvature to predict the distribution of the fault. The application of the multiple attributes for the fault interpretation and the quality control of the fault section interpretation in 3D space improved the accuracy of the fault interpretation. There were 96 faults interpreted and closed in the district. It provides theoretical basis for oil and gas exploration and development.

Key words: fine fault interpretation, structure model, multiple attribute block

CLC Number:

TE31

Jin Xiaobo. Study on the fine fault interpretation in Nanchuan district[J].Reservoir Evaluation and Development, 2018, 8(4): 6-10.

Figures/Tables 8

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Table 2

Basic element of fault"

序号	断层名称	性质	走向	倾向	最大垂直断距/m	延伸距离/km	断开地层	序号	断层名称	性质	走向	倾向	最大垂直断距/m	延伸距离/km	断开地层
1	F01	逆断层	NE转NW	SE转NE	300	13.8	小河坝组—上寒武	27	F27	逆断层	NE	SE	150	3.1	韩家店组—上寒武
2	F02	逆断层	NE	SE	160	9.2	小河坝组—上寒武	28	F28	逆断层	NE	SE	50	1.3	小河坝组—奥陶
3	F03	逆断层	NE	SE	100	4.5	小河坝组—上寒武	29	F29	逆断层	NE	SE	330	6	韩家店组—上寒武
4	F04	逆断层	NE	SE	510	13.1	小河坝组—中寒武	30	F30	逆断层	NE	SE	150	4	韩家店组—上寒武
5	F05	逆断层	NE	SE	700	24.1	嘉陵江组—中寒武	31	F31	逆断层	NE	SE	320	11.5	韩家店组—上寒武
6	F06	逆断层	NE	SE	100	2.6	小河坝组—上寒武	32	F32	逆断层	NE	SE	2 600	18.3	嘉陵江组—中寒武
7	F07	逆断层	NE	SE	10	1.8	小河坝组—奥陶	33	F33	逆断层	NE	SE	40	3.5	小河坝组—上寒武
8	F08	逆断层	NE	SE	50	2	韩家店组—上寒武	34	F34	逆断层	NE	SE	100	5	龙马溪组—上寒武
9	F09	逆断层	NE	SE	50	2.1	韩家店组—上寒武	35	F35	逆断层	NW转NE	NE转SE	1 050	19	嘉陵江组—中寒武
10	F10	逆断层	NE	SE	160	3.5	龙马溪组—奥陶	36	F36	逆断层	NE	SE	20	2	小河坝组—上寒武
11	F11	逆断层	NE	SE	170	8	小河坝组—上寒武	37	F37	逆断层	NE	SE	30	4	龙马溪组—上寒武
12	F12	逆断层	NE	SE	370	6.5	龙马溪组—上寒武	38	F38	逆断层	NE	SE	30	3	龙马溪组—上寒武
13	F13	逆断层	NE	SE	280	5.6	小河坝组—上寒武	39	F39	逆断层	NE	SE	80	2	龙马溪组—上寒武
14	F14	逆断层	NE	SE	250	14	小河坝组—上寒武	40	F40	逆断层	NE	SE	240	6	小河坝组—上寒武
15	F15	逆断层	NE	SE	30	5.2	韩家店组—奥陶	41	F41	逆断层	NE	SE	200	4	龙马溪组—上寒武
16	F16	逆断层	NE	SE	280	5.3	韩家店组—奥陶	42	F42	逆断层	NE	SE	160	8	龙马溪组—上寒武
17	F17	逆断层	NE	SE	450	3.5	韩家店组—上寒武	43	F43	逆断层	NE	SE	80	4	小河坝组—奥陶
18	F18	逆断层	NE	SE	150	3.2	小河坝组—上寒武	44	F44	逆断层	NE	SE	440	6	韩家店组—上寒武
19	F19	逆断层	NE	SE	780	16.3	韩家店组—上寒武	45	F45	逆断层	NE	SE	240	6	小河坝组—上寒武
20	F20	逆断层	NE	SE	550	17	小河坝组—中寒武	46	F46	逆断层	NE	SE	160	7	小河坝组—上寒武
21	F21	逆断层	NE	SE	270	10	小河坝组—中寒武	47	F47	逆断层	NE	SE	190	2.2	龙马溪组—中寒武
22	F22	逆断层	NE	SE	170	5	小河坝组—上寒武	48	F49	逆断层	NE	SE	120	2	小河坝组—上寒武
23	F23	逆断层	NE	SE	240	3.5	韩家店组—上寒武	49	F50	逆断层	NE	SE	70	2	小河坝组—上寒武
24	F24	逆断层	NE	SE	580	14.5	韩家店组—上寒武	50	F51	逆断层	NE	SE	700	8.3	嘉陵江组—下寒武
25	F25	逆断层	NE	SE	400	10	小河坝组—上寒武	51	F52	逆断层	NE	SE	300	8.4	嘉陵江组—下寒武
26	F26	逆断层	NE	SE	180	3	韩家店组—上寒武	52	F57	逆断层	NE	SE	100	4.2	小河坝组—奥陶

Table 2

Fig. 6

References 6

[1]	李伦炯, 杨飞, 孙传敏 , 等. 渝东南—湘鄂西地区构造运动与下志留统页岩气勘探[J]. 石油天然气学报, 2013,35(10):68-71.
[2]	李丰渝, 张军, 冯兆伟 , 等. Depth Team Express速度场建立在无井区的应用[J]. 内江科技, 2012,33(7):152. doi: 10.3969/j.issn.1006-1436.2012.07.120
[3]	张文起, 徐海霞, 李静 . 孤东垦东地区储层精细构造解释及构造特征分析[J]. 内蒙古石油化工, 2009,19(4):99-101. doi: 10.3969/j.issn.1006-7981.2009.04.046
[4]	王明飞, 陈超, 屈大鹏 , 等. 涪陵页岩气田焦石坝区块五峰组—龙马溪组一段页岩气储层地球物理特征分析[J]. 石油物探, 2015,54(5):613-626. doi: 10.3969/j.issn.1000-1441.2015.05.014
[5]	胡伟光, 刘珠江, 范春华 , 等. 四川盆地J地区志留系龙马溪组页岩裂缝地震预测与评价[J]. 海相油气地质, 2014,19(4):25-29.
[6]	陆明华, 骆璞, 姜传芳 , 等. 地震属性技术在页岩裂缝预测中的应用[J]. 石油天然气学报, 2013,35(8):62-64. doi: 10.3969/j.issn.1000-9752.2013.08.013

断层分类	断开地层	平均断距/m	油气保存条件影响
A级	断开多套地层	>500	保存条件差
B级	断穿志留系	200~500	不利于油气保存
C级	断穿志留系	100~200	保存条件有一定影响
D级	未断穿志留系	<100	保存条件无影响

[1]	KANG Yili,BAI Jiajia,LI Xiangchen,CHEN Mingjun,YOU Lijun,LI Xinlei,LI Qing,FANG Dazhi. Influence of water-rock interaction on stress sensitivity of organic-rich shales: A case study from Longmaxi formation in the southeast area of Chongqing [J]. Reservoir Evaluation and Development, 2019, 9(5): 54-62.
[2]	DAI Cheng,HU Xiaohu,FANG Sidong,GUO Yandong. Numerical simulation for seepage of shale gas reservoir development based on microseismic data and embedded fracture modeling [J]. Reservoir Evaluation and Development, 2019, 9(5): 70-77.
[3]	TANG Jianxin. Comparative studies on methane isothermal adsorption models of shale of Longmaxi formation in Pengshui area [J]. Reservoir Evaluation and Development, 2019, 9(4): 73-78.
[4]	Li Yongming,Wu Lei,Chen Xi. Research on productivity of fractured horizontal wells in shale gas reservoirs based on anomalous diffusion model [J]. Reservoir Evaluation and Development, 2019, 9(1): 72-79.
[5]	Yu Qiannan,Liu Yikun,Yao Di,Liu Xue,Yu Yang. Experimental study on seepage flow patterns of fine controlled fractured thin and poor reservoirs [J]. Reservoir Evaluation and Development, 2019, 9(1): 15-22.
[6]	Cao Jun,Tang Hai,Lyu Dongliang,Wu Jinwei. Influence of stress sensitive differences on natural well productivity in fractured reservoirs [J]. Reservoir Evaluation and Development, 2019, 9(1): 23-28.
[7]	Li Linlin. A boundary modification for water and electricity analogy experiment of fractured horizontal wells [J]. Reservoir Evaluation and Development, 2019, 9(1): 61-64.
[8]	Wang Haoru,Li Zuyou,Lu Guangliang,Tang Lei. Prediction of wellbore flow condition based on RBF neural network [J]. Reservoir Evaluation and Development, 2018, 8(6): 28-32.
[9]	Luo Zhifeng,Yu Yang,Zhao Liqiang,Li Xiaogang,Zhao Xingdong. Multifactorial experiment of acid's fingering phenomenon in the multi-stage alternating injection of acid fracturing [J]. Reservoir Evaluation and Development, 2018, 8(4): 36-41.
[10]	Wang Hanwei,Xia Hongquan,Liu Chang,Zhao Hao. Research on calculation method of BI by logging while drilling of shale reservoirs: A case of Qiongzhusi formation in Cambrian, Weiyuan area [J]. Reservoir Evaluation and Development, 2018, 8(3): 73-78.
[11]	Sun Lei,Zhou Fangfang,Xia Jing,Pan Yi,Luo Qiang,Leng Jie. An improved dew point pressure model for condensate gas based on genetic algorithm [J]. Reservoir Evaluation and Development, 2018, 8(3): 12-17.

Study on the fine fault interpretation in Nanchuan district

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 6

Related Articles 11

Metrics

Comments

Recommended 10