Special Oil & Gas Reservoirs >

2020 , Vol. 27 >Issue 5: 81 - 87

DOI: https://doi.org/10.3969/j.issn.1006-6535.2020.05.012

Geologic Exploration

Multi-scale Fracture Prediction of Shiniulan Formation in Zheng'an Block of Northern Guizhou Province Based on Post-stack Seismic Attributes

  • Lan Baofeng ,
  • Huang Yi ,
  • Zhang Fu ,
  • Li Gangquan ,
  • Liu Ting ,
  • Zhang Jinchuan
Expand
  • 1. Guizhou Shale Gas Exploration and Development Co., Ltd, Guiyang,Guizhou 550008 ,China;
    2. Guizhou Provincial Bureau of Land and Mineral Resources Reserve, Guiyang , Guizhou 550008,China;
    3. Guizhou Wujiang Energy Group Co., Ltd, Guiyang , Guizhou 550008,China;
    4. China University of Geosciences (Beijing), Beijing 100083,China

Received date: 2020-04-16

  Revised date: 2020-07-10

  Online published: 2022-02-18

Fold

Abstract

The Shiniulan Formation of Anchang syncline in Zheng'an Area of northern Guizhou Province is a set of marl strata deposited in deep-water shelf. Previous drilling results show that the distribution of the typical fractured gas reservoirs in the Shiniulan Formation is closely related to the degree of fracture development. In order to further study the fracture plane distribution law of the Shiniulan reservoir in Anchang syncline, the authors analyzed the fracture development characteristics of the target layers through core and imaging logging data, optimized the seismic attributes sensitive to fracture prediction, and predicted the fracture distribution of the Shiniulan Formation by using the fracture enhancement attribute based on seismic pixel processing. The research results show that the ability to identify fractures using conventional seismic curvature attributes is limited, and the seismic data based on seismic pixel processing can effectively improve the imaging of small faults and structural deformation features. On this basis, the recognition ability of fracture enhancement attributes is greatly improved. The actual drilling results verify that the comprehensive coincidence rate between the fracture prediction results based on post-stack seismic attributes and the leakage points of drilling mud is more than 83.3%, thus the prediction result is reliable. This study provides technical supports for optimizing zones and early warning of drilling risk in the Shiniulan Formation.

Key words： marl; seismic optimization; fractured gas reservoir; enhanced attribute; Zheng'an Area; Shiniulan Formation

Cite this article

Lan Baofeng , Huang Yi , Zhang Fu , Li Gangquan , Liu Ting , Zhang Jinchuan . Multi-scale Fracture Prediction of Shiniulan Formation in Zheng'an Block of Northern Guizhou Province Based on Post-stack Seismic Attributes[J]. Special Oil & Gas Reservoirs, 2020 , 27(5) : 81 -87 . DOI: 10.3969/j.issn.1006-6535.2020.05.012

References

[1] 钟勇,孙东,陈磊.图像增强技术在地震资料处理中的应用[J].物探与化探,2010,34(3):392-395,414.
ZHONG Yong,SUN Dong,CHEN Lei.The application of the image enhancement technology to seismic data procession[J].Geophysics of Geochemistry,2010,34(3):392-395,414.
[2] 梁狄刚,郭彤楼,陈建平,等.中国南方海相生烃成藏研究的若干新进展(一):南方四套区域性海相烃源岩的分布[J].海相油气地质,2008,13(2):1-16.
LIANG Digang,GUO Tonglou,CHEN Jianping,et al.Some progresses on studies of hydrocarbon generation and accumulation in marine sedimentary regions,southern China(Part 1):distribution of four suits of regional marine source rocks[J].Marine origin Petroleum Geology,2008,13(2):1-16.
[3] 邹才能,董大忠,王社教,等.中国页岩气形成机理、地质特征及资源潜力[J].石油勘探与开发,2010,37(6):641-653.
ZOU Caineng,DONG Dazhong,WANG Shejiao,et al.Geological characteristics,formation mechanism and resource potential of shale gas in China[J].Petroleum Exploration and Development,2010,37(6):641-653.
[4] 王玉芳,翟刚毅,包书景,等.黔北安页1井石牛栏组储层特征及压裂效果评价[J].地质论评,2018,64(3):741-752.
WANG Yufang,ZHAI Gangyi,BAO Shujing,et al.Shiniulan Formation reservoir characteristics and fracturing effect evaluation of Anye-1 well in the north of GuiZhou[J].Geological Review,2018,64(3):741-752.
[5] 唐邦忠,沈华,才博,等.束鹿泥灰岩致密油水平井体积压裂技术研究[J].天然气与石油,2014,71(2):43-45,69.
TANG Bangzhong,SHEN Hua,CAI Bo,et al. Research on horizontal well acid volume fracturing technology in Shulu Marlstone tight oil reservoir[J].Natural Gas and Oil,2014,71(2):43-45,69.
[6] 关宝文,郭建明,杨燕,等.油气储层裂缝预测方法及发展趋势[J].特种油气藏, 2014,43(6):12-17.
GUAN Baowen,GUO Jianming,YANG Yan,et al.Methods of fracture prediction in oil & gas reservoirs and their development trend[J].Special Oil & Gas Reservoirs,2014,43(6):12-17.
[7] 徐尚,邹华耀,郝芳,等.渤海湾盆地石南地区东二段层间断层的识别[J].石油地球物理勘探,2015,50(2):363-369.
XU Shang,ZOU Huayao,HAO Fang,et al.Interbed fault identification in the Ed2 Formation,southern Shijiutuo Uplift,Bohai Bay Basin,China[J].Oil Geophysical Prospecting,2015,50(2):363-369.
[8] 张军华,吕宁,田连玉,等.地震资料去噪方法、技术综合评述[J].地球物理学进展,2005,20(4):1083-1091.
ZHANG Junhua,LYU Ning,TIAN Lianyu,et al.An overview of the methods and techniques for seismic data noise attenuation[J].Progress in Geophysics,2005,20(4):1083-1091.
[9] 邢占涛,韩建光,何文刚,等.生物礁地震地质综合识别技术——以ZJ坳陷为例[J].断块油气田,2018,25(2):177-180.
XING Zhantao,HAN Jianguang,HE Wengang,et al.Integrated seismic and geological identification technology of reefs: taking ZJ Depression for example[J].Fault-Block Oil & Gas Field,2018,25(2):177-180.
[10] 凌东明,姚仙洲,田军,等.地震振幅差异属性在低序级断层定向识别中的应用——以塔里木盆地轮南油田为例[J].断块油气田,2019,26(1):33-36.
LING Dongming,YAO Xianzhou,TIAN Jun,et al.Application of seismic amplitude change attribute to direction identification of low-level fault: a case study of Lunnan Oilfield, Tarim Basin[J].Fault-Block Oil & Gas Field,2019,26(1):33-36.
[11] 刘新,安飞,肖璇. 加拿大致密油资源潜力和勘探开发现状[J].大庆石油地质与开发,2018,37(6):168-174.
LIU Xin,AN Fei,XIAO Xuan. Potential of the tight oil resource and its current situation of exploration and development in Canada[J]. Petroleum Geology & Oilfield Development in Daqing,2018,37 (6):169-174.
[12] 王改卫,黄晓波,代黎明,等.渤海油田富砂性湖底扇沉积模式及有利勘探目标[J].石油地质与工程,2017,31(3):1-4.
WANG Gaiwei, HUANG Xiaobo, DAI Liming, et al. Depositional models of sand rich sublacustrine fan and favorable exploration targets in Bohai Oilfield[J].Petroleum Geology and Engineering, 2017, 31 (3): 1-4.
[13] 万梦,苗宝,杜继成.黔南下寒武统牛蹄塘组页岩气成藏条件及勘探前景分析[J].石油地质与工程,2017,31(3):19-22.
WAN Meng, MIAO Bao, DU Jicheng. Shale gas accumulation conditions and exploration prospect in Niutitang formation of lower Cambrain in southern Guizhou[J].Petroleum Geology and Engineering, 2017, 31 (3): 19-22.
[14] 崔宝文,蒙启安,白雪峰,等. 松辽盆地北部石油勘探进展与建议[J].大庆石油地质与开发,2018,37(3):1-9.
CUI Baowen,MENG Qi'an,BAI Xuefeng,et al. Petroleum exploration progress and suggestions for north Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing,2018,37 (3):1-9.
[15] 张健, 周刚, 张光荣, 等. 四川盆地中二叠统天然气地质特征与勘探方向[J].天然气工业, 2018, 38(1): 10-20.
ZHANG Jian, ZHOU Gang, ZHANG Guangrong, et al. Geological characteristics and exploration orientation of Mid-Permian natural gas in the Sichuan Basin[J].Natural Gas Industry, 2018, 38(1): 10-20.
[16] 赵路子, 张光荣, 陈伟, 等. 深层复杂地质构造带地震勘探关键技术——以四川盆地龙门山断褶带北段为例[J].天然气工业, 2018, 38(1): 39-48.
ZHAO Luzi, ZHANG Guangrong, CHEN Wei, et al. Key seismic survey technologies for deep complex geological structures: a case study of the northern section of the Longmenshan Fault Fold Belt in the Sichuan Basin[J]. Natural Gas Industry, 2018,38(1): 39-48.
[17] 晋达.普光地区上三叠统小塘子组泥岩分布地震预测[J]. 油气藏评价与开发, 2019, 9(4): 6-11.
JIN Da. Prediction of mudstone distribution on top of middle Triassic Xiaotangzi formation in Puguang Area[J]. Reservoir Evaluation and Development, 2019, 9(4): 6-11.
[18] 冉建斌,张艺山,李海银,等.吐哈盆地葡北地区“两宽一高”地震勘探技术及应用效果[J].石油与天然气地质,2019,40(4):725-737.
RAN Jianbin,ZHANG Yishan,LiI Haiyin,et al.“2W1H” seismic exploration technique and its application in Pubei area,Turpan-Hami Basin[J].Oil & Gas Geology,2019,40(4):725-737.
Options
Outlines

/

〈 〉