裂缝性致密砂岩储层裂缝孔隙度建模——以四川盆地平落坝构造须家河组二段储层为例

doi:10.7623/syxb201705010

石油学报 ›› 2017, Vol. 38 ›› Issue (5): 570-577.DOI: 10.7623/syxb201705010

裂缝性致密砂岩储层裂缝孔隙度建模——以四川盆地平落坝构造须家河组二段储层为例

黄小娟^1,2, 李治平^1,2, 周光亮³, 刘倩⁴, 李洪^1,2, 王红坤⁵

1. 中国地质大学能源学院北京 100083;
2. 中国地质大学非常规天然气地质评价与开发工程北京市重点实验室北京 100083;
3. 中国石油西南油气田公司川西北气矿四川江油 621700;
4. 北京恺标技术发展有限公司北京 100083;
5. 中国石油化工股份有限公司河南油田分公司勘探开发研究院河南濮阳 450000

收稿日期:2016-12-04 修回日期:2017-03-22 出版日期:2017-05-25 发布日期:2017-06-07
通讯作者: 李治平,男,1963年10月生,1985年获西南石油学院学士学位,1998年获西南石油学院博士学位,现为中国地质大学(北京)教授、博士生导师,主要从事油气田开发理论与开采方法、非线性油气层渗流力学理论与应用、油藏数值模拟方法及软件开发等方面的研究工作。Email:20022011671@cugb.edu.cn
作者简介:黄小娟,女,1973年3月生,1995年获江汉石油学院学士学位,现为中国地质大学(北京)博士研究生,主要从事储层建模与气藏模拟研究。Email:huangxj@cugb.edu.cn
基金资助:
国家重大科技专项（2017ZX05009-005）和北京市自然科学基金项目（No.3162026）资助。

Fracture porosity modeling of fractured tight sandstone reservoir: a case study of the reservoir in Member 2 of Xujiahe Formation, Pingluoba structure, Sichuan Basin

Huang Xiaojuan^1,2, Li Zhiping^1,2, Zhou Guangliang³, Liu Qian⁴, Li Hong^1,2, Wang Hongkun⁵

1. School of Energy Resources, China University of Geosciences, Beijing 100083, China;
2. Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering, China University of Geosciences, Beijing 100083, China;
3. Northwest of Sichuan Gas Field, PetroChina Southwest Oil & Gasfield Company, Sichuan Jiangyou 621700, China;
4. Beijing KaiBiao Technology Development Company Limited, Beijing 100083, China;
5. Exploration and Development Research Institute, Sinopec Henan Oilfield Company, Henan Puyang 450000, China

Received:2016-12-04 Revised:2017-03-22 Online:2017-05-25 Published:2017-06-07

摘要/Abstract

摘要：

裂缝性致密砂岩储层的非均质性突出，相对于沉积相变对储层所造成的影响，后期成岩与构造运动对储层的改造更重要，裂缝的发育特征常是影响这类储层有效性的关键因素。常规描述储层性质的孔隙度、渗透率参数难以确切描述该类储层的性质。在评价裂缝性致密砂岩储层时，将裂缝破碎带作为优质储层研究对象，以裂缝孔隙度作为储层评价关键参数，是研究裂缝性致密砂岩有效储层分布规律的重要途径。在裂缝孔隙度建模过程中，构造裂缝孔隙度的空间结构信息是建模的关键，在建立地震属性与裂缝的相关性基础之上，使用地震属性构造了裂缝孔隙度的空间结构参数。生产数据表明，地震分频属性能够在整体上指示裂缝孔隙度的平面分布特征，可以用来构造裂缝孔隙度的变差函数，但该属性不能定量给出裂缝孔隙度的空间分布特征，因此不能用于辅助参数进行协同计算。将地震蚂蚁体数据和通过成像测井校正的单井裂缝孔隙度解释数据共同作为模拟裂缝孔隙度模型的输入参数，使用协同建模的方法建立裂缝孔隙度的空间分布，从而定量评价了裂缝性致密砂岩储层裂缝孔隙度的空间展布规律，为数值模拟提供数据支持。

关键词: 致密砂岩, 蚂蚁体数据, 成像测井, 裂缝孔隙度, 建模

Abstract:

Fractured tight sandstone reservoirs are highly heterogeneous. In contrast to the effect of sedimentary facies change, diagenesis and tectonic movements play more important role. The properties and distribution of fractures are always the key factors to evaluate such type of reservoir. The porosity and permeability parameters, which are normally used to describe reservoir properties, could not describe fractured tight sandstone reservoir sufficiently. It is an important method to evaluate the distribution of the effective reservoir of the fractured tight sandstone by treating fracture porosity as a random variable and using it as a key evaluating parameter. Constructing the spatial structure of the fracture porosity is the key step for modeling, and therefore the spatial structure parameters created by using seismic properties after the correlation was established. Production data indicated that frequency spectral decomposition properties of seismic could show the similar plane distribution of the fracture porosity, and could be used to calculate the varigram of the fracture porosity. However, the properties were 2D and could not be used as secondary data in modeling. Ant tracking data of seismic and log interpreted fracture porosity being as input data and using collaborative modeling method to create the spatial distribution of the fracture porosity were established and then evaluated the reservoir quantitatively.

Key words: tight sandstone, ant tracking data, imaging logging, fracture porosity, modeling

中图分类号:

TE34

黄小娟, 李治平, 周光亮, 刘倩, 李洪, 王红坤. 裂缝性致密砂岩储层裂缝孔隙度建模——以四川盆地平落坝构造须家河组二段储层为例[J]. 石油学报, 2017, 38(5): 570-577.

Huang Xiaojuan, Li Zhiping, Zhou Guangliang, Liu Qian, Li Hong, Wang Hongkun. Fracture porosity modeling of fractured tight sandstone reservoir: a case study of the reservoir in Member 2 of Xujiahe Formation, Pingluoba structure, Sichuan Basin[J]. Acta Petrolei Sinica, 2017, 38(5): 570-577.

参考文献

[1] 丁文龙,王兴华,胡秋嘉,等.致密砂岩储层裂缝研究进展[J].地球科学进展,2015,30(7):737-750.
DING Wenlong,WANG Xinghua,HU Qiujia,et al.Progress in tight sandstone reservoir fractures research[J].Advances in Earth Science,2015,30(7):737-750.
[2] 李忠平.深层致密砂岩气藏裂缝特征描述、识别及分布评价——以新场气田须二气藏为例[D].成都:成都理工大学,2014.
LI Zhongping.Fracture characteristics,identification and evaluation of the distribution for deep tight sandstone gas pool:an case from the second member of Xujiahe Formation in Xinchang gas field[D].Chengdu:Chengdu University of Technology,2014.
[3] 田景春,刘伟伟,王峰,等.鄂尔多斯盆地高桥地区上古生界致密砂岩储层非均质性特征[J].石油与天然气地质,2014,35(2):183-189.
TIAN Jingchun,LIU Weiwei,WANG Feng,et al.Heterogeneity of the paleozoic tight sandstone reservoirs in Gaoqiao area of Ordos Basin[J].Oil & Gas Geology,2014,35(2):183-189.
[4] 孙建孟,韩志磊,秦瑞宝,等.致密气储层可压裂性测井评价方法[J].石油学报,2015,36(1):74-80.
SUN Jianmeng,HAN Zhilei,QIN Ruibao,et al.Log evaluation method of fracturing performance in tight gas reservoir[J].Acta Petrolei Sinica,2015,36(1):74-80.
[5] 牛博,高兴军,赵应成,等.古辫状河心滩坝内部构型表征与建模——以大庆油田萨中密井网区为例[J].石油学报,2015,36(1):89-100.
NIU Bo,GAO Xingjun,ZHAO Yingcheng,et al.Architecture characterization and modeling of channel bar in paleo-braided river:a case study of dense well pattern area of Sazhong in Daqing oilfield[J].Acta Petrolei Sinica,2015,36(1):89-100.
[6] 张君峰,毕海滨,许浩,等.国外致密油勘探开发新进展及借鉴意义[J].石油学报,2015,36(2):127-137.
ZHANG Junfeng,BI Haibing,XU Hao,et al.New progress and reference significance of overseas tight oil exploration and development[J].Acta Petrolei Sinica,2015,36(2):127-137.
[7] 王珂,张惠良,张荣虎,等.超深层致密砂岩储层构造裂缝特征及影响因素——以塔里木盆地克深2气田为例[J].石油学报,2016,37(6):715-727.
WANG Ke,ZHANG Huiliang,ZHANG Ronghu,et al.Characteristics and influencing factors of ultra-deep tight sandstone reservoir structural fracture:a case study of Keshen-2 gas field,Tarim Basin[J].Acta Petrolei Sinica,2016,37(6):715-727.
[8] QU Dongfang,TVERANGER J.Incorporation of deformation band fault damage zones in reservoir models[J].AAPG Bulletin,2016,100(3):423-443.
[9] FACHRI M,TVERANGER J,BRAATHEN A,et al.Volumetric faults in field-sized reservoir simulation models:a first case study[J].AAPG Bulletin,100(5):795-817.
[10] 李熙喆,张满郎,谢武仁.鄂尔多斯盆地上古生界岩性气藏形成的主控因素与分布规律[J].石油学报,2009,30(2):168-175.
LI Xizhe,ZHANG Manlang,XIE Wuren.Controlling factors for lithologic gas reservoir and regularity of gas distribution in the Upper Paleozoic of Ordos Basin[J].Acta Petrolei Sinica,2009,30(2):168-175.
[11] 王越之,田红.常规测井与FMI测井资料相结合研究储层裂缝[J].断块油气田,2001,8(5):30-32.
WANG Yuezhi,TIAN Hong.Research of fracture reservoir characteristics using FMI logging and dual laterolog[J].Fault-Block Oil and Gas Field,2001,8(5):30-32.
[12] 崔勇,栾瑞乐,赵澄林.辽河油田欧利坨子地区火山岩储集层特征及有利储集层预测[J].石油勘探与开发,2001,27(5):47-49.
CUI Yong,LUAN Ruile,ZHAO Chenglin.Volcanic rock reservoir characteristics and prediction in Oulituozi region,Liaohe Basin[J].Petroleum Exploration and Development,2001,27(5):47-49.
[13] 张延章,尹寿鹏,张巧玲,等.地震分频技术的地质内涵及其效果分析[J].石油勘探与开发,2006,33(1):64-66.
ZHANG Yanzhang,YIN Shoupeng,ZHANG Qiaoling,et al.Geologic significance of the seismic spectral decomposition technology and its application analysis[J].Petroleum Exploration and Development,2006,33(1):64-66.
[14] 陈波,孙德胜,朱筱敏,等.利用地震数据分频相干技术检测火山岩裂缝[J].石油地球物理勘探,2011,46(4):610-613.
CHEN Bo,SUN Desheng,ZHU Xiaomin,et al.Fracture detection in volcanic rocks using discrete frequency coherency cubes on full-azimuth seismic data[J].Oil Geophysical Prospecting,2011,46(4):610-613.
[15] 杨士明,潘晓慧,葛善良.利用地震分频属性预测薄砂岩储层——以塔里木盆地塔中隆起带顺9井区为例[J].石油天然气学报,2014,36(1):45-49.
YANG Shiming,PAN Xiaohui,GE Shanliang.Predicting thin sandstone reservoir by using seismic separate frequency attribute:by taking wellblock Shun 9 of Tazhong uplift in Tarim Basin for example[J].Journal of Oil and Gas Technology,2014,36(1):45-49.
[16] HOSSAIN M S,UROSEVIC M,KEPIC A.Interpretation of 3D high-resolution seismic data collected over an IOCG deposit in South Australia[J].SEG Extended Abstracts,2015(1):1-5.
[17] SILVA C C,MARCOLINO C S,LIMA F D.Automatic fault extraction using ant tracking algorithm in the Marlim South Field,Campos Basin:2005 SEG Annual Meeting,Houston,Texas,6-11 November,2005[C].Houston:Society of Exploration Geophysicists,2005.
[18] LI Yandong,WANG Jun,YANG Hao,et al.Fracture characterization using azimuthal AVO,ant-tracking and curvature:2013 SEG Annual Meeting,Houston,Texas,22-27 September,2013[C].Houston:Society of Exploration Geophysicists,2013.
[19] 张欣.蚂蚁追踪在断层自动解释中的应用——以平湖油田放鹤亭构造为例[J].石油地球物理勘探,2010,45(2):278-281.
ZHANG Xin.Application of ant tracing algorithm in fault automatic interpretation:a case study on Fangheting structure in Pinghu oilfield[J].Oil Geophysical Prospecting,2010,45(2):278-281.
[20] 史军.蚂蚁追踪技术在低级序断层解释中的应用[J].石油天然气学报,2009,31(2):257-258.
SHI Jun.Application of ant tracking technology in small fault interpretation[J].Journal of Oil and Gas Technology,2009,31(2):257-258.
[21] 谌卓恒,OSADETZ K G.西加拿大沉积盆地Cardium组致密油资源评价[J].石油勘探与开发,2013,40(3):320-328.
CHEN Zhuoheng,OSADETZ K G.An assessment of tight oil resource potential in the Upper Cretaceous Cardium Formation,Western Canada Sedimentary Basin[J].Petroleum Exploration and Development,2013,40(3):320-328.
[22] 郭智,孙龙德,贾爱林,等.辫状河相致密砂岩气藏三维地质建模[J].石油勘探与开发,2015,42(1):76-83.
GUO Zhi,SUN Longde,JIA Ailin,et al.3D geological modeling for tight sand gas reservoir of braided river facies[J].Petroleum Exploration and Development,2015,42(1):76-83.
[23] 程超,吴东昊,桑琴,等.基于蚂蚁体的"相"控地质建模[J].西安石油大学学报:自然科学版,2011,26(3):21-25.
CHENG Chao,WU Donghao,SANG Qin,et al.Facies-controlled geological modeling based on ant body[J].Journal of Xi'an Shiyou University:Natural Science Edition,2011,26(3):21-25.
[24] 龙旭,武林芳.蚂蚁追踪属性体提取参数对比试验及其在塔河四区裂缝建模中的应用[J].石油天然气学报,2011,33(5):76-81.
LONG Xu,WU Linfang.Identification of thin-bed tuning and AVO anomaly based on seismic spectral decomposition[J].Journal of Oil and Gas Technology,2011,33(5):76-81.

裂缝性致密砂岩储层裂缝孔隙度建模——以四川盆地平落坝构造须家河组二段储层为例

Fracture porosity modeling of fractured tight sandstone reservoir: a case study of the reservoir in Member 2 of Xujiahe Formation, Pingluoba structure, Sichuan Basin

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	杨斌, 许成元, 张浩, 郭予凡, 杨建, 李越, 赵建国. 深部破碎地层井壁失稳机理研究进展与攻关对策[J]. 石油学报, 2024, 45(5): 875-888.
[2]	杨雨, 谢继容, 曹正林, 文龙, 王小娟, 肖尧, 杨建, 唐青松, 唐大海, 李明秋, 关旭, 曾青高, 陈伟华, 陈康, 肖红林. 四川盆地天府气田沙溪庙组大型致密砂岩气藏形成条件及勘探开发关键技术[J]. 石油学报, 2023, 44(6): 917-932.
[3]	余浩杰, 王振嘉, 李进步, 朱亚军. 鄂尔多斯盆地长庆气区复杂致密砂岩气藏开发关键技术进展及攻关方向[J]. 石油学报, 2023, 44(4): 698-712.
[4]	魏浩元, 朱宗良, 韦德强, 李昱东, 何恒, 杨银平, 李赫楠, 任雪瑶. 河西走廊及其邻区非常规油气成藏条件及勘探潜力[J]. 石油学报, 2023, 44(12): 2231-2249.
[5]	刘致水, 王康宁, 包乾宗, 李之旭. 致密砂岩储层岩石物理横波速度预测方法 ——以鄂尔多斯盆地延长组为例[J]. 石油学报, 2022, 43(9): 1284-1294.
[6]	王清华, 张荣虎, 杨宪彰, 余朝丰, 徐振平, 周露, 王珂, 张亮. 库车坳陷东部迪北地区侏罗系阿合组致密砂岩气勘探重大突破及地质意义[J]. 石油学报, 2022, 43(8): 1049-1064.
[7]	王珂, 张荣虎, 唐永, 余朝丰, 杨钊, 唐雁刚, 周露. 库车坳陷北部构造带侏罗系阿合组构造成岩作用与储层预测[J]. 石油学报, 2022, 43(7): 925-940.
[8]	王福伟, 陈冬霞, 解广杰, 李士祥, 曾溅辉, 姚东升, 成铭. 鄂尔多斯盆地庆城地区延长组7段源-储结构控制下致密砂岩油的差异富集机制[J]. 石油学报, 2022, 43(7): 941-956,976.
[9]	曾联波, 吕文雅, 徐翔, 田鹤, 陆诗磊, 张洺菁. 典型致密砂岩与页岩层理缝的发育特征、形成机理及油气意义[J]. 石油学报, 2022, 43(2): 180-191.
[10]	黄兴, 窦亮彬, 左雄娣, 高辉, 李天太. 致密油藏裂缝动态渗吸排驱规律[J]. 石油学报, 2021, 42(7): 924-935.
[11]	赵承锦, 蒋有录, 刘景东, 王良军, 曾韬. 基于正演与反演结合的孔隙度演化恢复方法 ——以川东北地区须家河组为例[J]. 石油学报, 2021, 42(6): 708-723.
[12]	赵玉龙, 刘香禺, 张烈辉, 吴婷婷, 单保超. 粗糙孔壁对微/纳米尺度下致密砂岩气流动的影响[J]. 石油学报, 2021, 42(5): 641-653.
[13]	胡勇, 李熙喆, 徐轩, 梅青燕, 陈颖莉, 王继平, 焦春艳, 郭长敏, 贾玉泽. 含水致密砂岩气藏可动用储量评价新方法及其应用[J]. 石油学报, 2021, 42(3): 332-340.
[14]	印森林, 高阳, 胡张明, 熊亭, 冯文杰, 赵俊威, 程乐利. 基于无人机倾斜摄影的露头多点地质统计模拟——以山西吕梁坪头乡石盒子组为例[J]. 石油学报, 2021, 42(2): 198-216.
[15]	高建申, 宋阳, 刘彦萍, 朱凯然, 刘昕. 低电阻率地层基于凹陷电极对的油基泥浆电成像测井四参数计算方法[J]. 石油学报, 2020, 41(8): 960-968.