观音桥段地质特征及其对页岩气产量的影响——以南川地区为例

Abstract

Abstract:

The guanyinqiao member in Southeast of Chongqing is a suit of argillaceous limestone formation formed in the Nantes period. The sea level and the control of ancient landform are the main factors affecting the strata. The strata overlying and underlying layer are both black shale formed in deep-water sedimentary environment. On the plane, Guanyinqiao member is distributed uniformly and missing in some parts. By analyzing the characteristics of Guanyinqiao member in Nanchuan area, and combined with the static evaluation indexes and single well productivity of the shale gas wells in this area, we analyzed that whether there was the relationship between the productivity of shale gas well and the existence of the member, thus affecting the shale gas production. The conclusion has geological guidance to the selected areas of shale gas in the Southeast of Chongqing, and great guiding significance on exploration strategy of shale gas.

Key words: Nanchuan district, Guanyinqiao member, shale gas, selected area

CLC Number:

TE122

Jiaxin Li. Geological features of Guanyinqiao member and its influence on the shale gas production: A case study of Nanchuan district[J]. Reservoir Evaluation and Development, 2018, 8(4): 68-72.

Figures/Tables 5

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Table 1

Table 2

References 20

[1]	王玉满, 董大忠, 李建忠 , 等. 川南下志留统龙马溪组页岩气储层特征[J]. 石油学报, 2012,33(4):551-561. doi: 10.7623/syxb201204003
[2]	郭彤楼, 刘若冰 . 复杂构造区高演化程度海相页岩气勘探突破的启示:以四川盆地东部盆缘JY1井为例[J]. 天然气地球科学, 2013,24(4):643-651.
[3]	郭彤楼, 张汉荣 . 四川盆地焦石坝页岩气田形成与富集高产模式[J]. 石油勘探与开发, 2014,41(1):28-35. doi: 10.11698/PED.2014.01.03
[4]	陈静 . 中扬子地区页岩气勘探潜力分析[J]. 科技创业月刊, 2015,28(6):10-11. doi: 10.3969/j.issn.1665-2272.2015.03.004
[5]	肖传桃, 李建明, 郭成贤 . 中上扬子地区五峰组沉积环境的在认识[J]. 四川地质学报, 1996,16(4):294-298.
[6]	陈玉明, 高星星, 盛贤才 . 湘鄂西地区构造演化特征及成因机理分析[J]. 石油地球物理勘探, 2013,12(S1):157-162.
[7]	王传尚, 汪啸风, 陈孝红 , 等. 奥陶纪末期层序地层学研究[J]. 地球科学:中国地质大学学报, 2003,28(1):6-10. doi: 10.3321/j.issn:1000-2383.2003.01.002
[8]	李双建, 肖开华, 沃玉进 , 等. 南方海相上奥陶统—下志留统优质烃源岩发育的控制因素[J]. 沉积学报, 2008,26(5):872-880.
[9]	董大忠, 高世葵, 黄金亮 , 等. 论四川盆地页岩气资源勘探开发前景[J]. 天然气工业, 2014,34(12):1-15.
[10]	高振中, 何幼斌, 李罗照 , 等. 中国南方上奥陶统五峰组观音桥段成因讨论:是“浅水介壳相”,还是深水异地沉积?[J]. 古地理学报, 2008,10(5):487-494.
[11]	徐论勋, 肖传桃, 龚文平 , 等. 论扬子地区上奥陶统五峰组观音桥段的深海成因[J]. 地质学报, 2004,78(6):726-732.
[12]	何心一, 陈建强, 唐兰 , 等. 黔北晚奥陶世 Hirnantian 期观音桥层四射珊瑚新资料及其地质意义[J]. 古生物学报, 2006,45(3):293-310.
[13]	邓义楠, 王约, 陈洪德 , 等. 黔北桐梓五峰组观音桥段双壳类和腹足类的生态意义[J]. 地层学杂志, 2010,34(3):328-333.
[14]	谢尚克, 汪正江, 王剑 , 等. 綦江观音桥中上奥陶统微量元素地球化学特征[J]. 沉积与特提斯地质, 2010,30(5):60-65. doi: 10.3969/j.issn.1009-3850.2010.04.009
[15]	苏文博, 李志明 , Frank R Ettensohn, 等. 华南五峰组—龙马溪组黑色岩系时空展布的主控因素及其启示[J]. 地球科学:中国地质大学学报, 2007,32(6):819-827. doi: 10.3321/j.issn:1000-2383.2007.06.013
[16]	王怿, 樊隽轩, 张元动 , 等. 湖北恩施太阳河奥陶纪—志留纪之交沉积间断的研究[J]. 地层学杂志, 2011,35(4):361-367.
[17]	王玉满, 董大忠, 黄金亮 , 等. 四川盆地及周边上奥陶统五峰组观音桥段岩相特征及对页岩气选区意义[J]. 石油勘探与开发, 2016,43(1):42-50.
[18]	刘伟, 许效松, 余谦 , 等. 中上扬子晚奥陶世赫南特期岩相古地理[J]. 成都理工大学学报:自然科学版, 2012,39(1):32-39. doi: 10.3969/j.issn.1671-9727.2012.01.005
[19]	刘伟, 许效松, 冯心涛 , 等. 中上扬子上奥陶统五峰组含放射虫硅质岩与古环境[J]. 沉积与特提斯地质, 2010,30(3):65-70.
[20]	戎嘉余, 陈旭, 王怿 , 等. 奥陶—志留纪之交黔中古陆的变迁:证据与启示[J]. 中国科学:地球科学, 2011,41(10):1407-1415. doi: 10.1007/s11769-011-0446-4

井号	①— ⑤ 厚度/m	平均TOC,%	平均孔隙度,%	含气性/（m³·t^-1）	脆性矿物含量,%
胜页1	30	3.1	2.2	3.2	44.7
焦页194-3	34.7	3.2	3.8	3.0	49.3
焦页195-2	33	3.2	3.7	3.1	48.6

井号	油嘴10 mm		油嘴12 mm
井号	井口压力/MPa	瞬时气量/（10⁴m³·d^-1）	井口压力/MPa	瞬时气量/（10⁴m³·d^-1）
胜页1HF	10.47 ~ 10.61	7.00 ~ 7.05	7.51 ~ 10.47	9.26 ~ 10.52
焦页194-3HF	22.0 ~ 22.1	22.9 ~ 23.7	20.5 ~ 20.8	30.7 ~ 34.2
焦页195-2HF	20.7 ~ 21.1	22.6 ~ 23.2	21.1 ~ 23.8	36.6 ~ 42.0
焦页195-5HF	13.8 ~ 14.2	11.9 ~ 12.1	14.3 ~ 14.8	21.7 ~ 30.6
焦页197-4HF	22.7 ~ 22.8	22.9 ~ 23.7	21.2 ~ 21.4	29.4 ~ 31.4

Geological features of Guanyinqiao member and its influence on the shale gas production: A case study of Nanchuan district

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