靖边气田盒8下致密砂岩储层泥质含量预测

doi:10.3969/j.issn.1006-6535.2025.06.009

特种油气藏 ›› 2025, Vol. 32 ›› Issue (6): 78-85.DOI: 10.3969/j.issn.1006-6535.2025.06.009

靖边气田盒8_下致密砂岩储层泥质含量预测

罗广惠^1,2,3, 代恒⁴, 余杰⁴, 张小莉^1,2,3, 杨懿⁵, 李亚军⁶, 阎媛子⁷, 周志杰^1,2,3

1.西北大学,陕西西安 710069;
2.二氧化碳捕集与封存国家地方联合工程研究中心,陕西西安 710069;
3.陕西省碳中和技术重点实验室,陕西西安 710069;
4.中国石油长庆油田分公司,陕西西安 710016;
5.西安石油大学,陕西西安 710065;
6.延安大学,陕西延安 716000;
7.陕西能源职业技术学院,陕西咸阳 712099

收稿日期:2024-12-05 修回日期:2025-08-05 出版日期:2025-12-25 发布日期:2025-12-31
通讯作者: 张小莉(1968—),女,教授,1988年毕业于西北大学石油与天然气地质专业,2006年毕业于中国石油大学(华东)地质资源与地质工程专业,获博士学位,现主要从事测井资料处理与解释、二氧化碳地质封存方面的教学与科研工作。
作者简介:罗广惠(1999—),女,2021年毕业于重庆科技学院勘查技术与工程专业,现为西北大学地质学专业在读硕士研究生,主要从事测井资料处理与解释、二氧化碳地质封存方面的研究工作。
基金资助:
陕西省自然科学基础研究计划“二氧化碳捕集、利用与封存研究”(2024JC-DXWT-06)、“二氧化碳咸水层封存选址优化研究”(2022JC-DW-09);陕西省自然科学基础研究计划一般项目(青年)“二氧化碳地质封存过程中超临界二氧化碳-水-岩石作用机理研究”(2023-JC-QN-0373)

Prediction of shale content in tight sandstone reservoirs of the Lower He 8 Member in Jingbian Gasfield

LUO Guanghui^1,2,3, DAI Heng⁴, YU Jie⁴, ZHANG Xiaoli^1,2,3, YANG Yi⁵, LI Yajun⁶, YAN Yuanzi⁷, ZHOU Zhijie^1,2,3

1. Northwest University, Xi′an, Shaanxi 710069,China;
2. National & Local Joint Engineering Research Center of Carbon Capture and Storage Technology, Xi′an, Shaanxi 710069, China;
3. Shaanxi Provincial Key Laboratory of Carbon Neutrality Technology, Xi′an, Shaanxi 710069, China;
4. PetroChina Changqing Oilfield Company, Xi′an, Shaanxi 710016, China;
5. Xi′an Petroleum University, Xi′an, Shaanxi 710065, China;
6. Yan′an University, Yan′an, Shaanxi 716000, China;
7. Shaanxi Energy Institute, Xianyang, Shaanxi 712099, China

Received:2024-12-05 Revised:2025-08-05 Online:2025-12-25 Published:2025-12-31

摘要/Abstract

摘要： 针对鄂尔多斯盆地上古生界石盒子组盒8_下致密砂岩储层砂岩类型复杂多变、岩性及有效储层识别不清、孔隙度测井解释精度低等问题,通过对石英砂岩、岩屑石英砂岩和岩屑砂岩测井响应特征的分析,建立3类砂岩的泥质含量预测模型。结果表明:石英砂岩、岩屑石英砂岩和岩屑砂岩的自然伽马测井值分布区间变化范围大,自然伽马测井最小值分别为20.0、30.0、40.0 API;泥质含量预测模型绝对误差均小于5.0%,该模型预测精度可靠。该成果可为研究区岩性识别及有效储层预测提供技术支撑,同时可对其他复杂致密砂岩储层泥质含量及孔隙度的计算提供借鉴。

关键词: 泥质含量, 致密砂岩, 低孔低渗储层, 盒8_下, 测井响应特征, 靖边气田

Abstract: To address challenges such as complex and variable sandstone types, unclear identification of lithology and effective reservoirs and low accuracy in porosity log interpretation in the tight sandstone reservoir of the Lower He 8 Member of the Upper Paleozoic Shihezi Formation in the Ordos Basin, a prediction model for shale content of these three types of sandstone was established through analysis of the logging response characteristics of quartz sandstone, lithic quartz sandstone and lithic sandstone. The results indicate that the distribution ranges of natural gamma logging values for quartz sandstone, lithic quartz sandstone and lithic sandstone are large, with minimum values of 20.0, 30.0 and 40.0 API respectively;The absolute error of the shale content prediction model is less than 5.0%, indicating reliable prediction accuracy of the model. This achievement can provide technical support for lithology identification and effective reservoir prediction in the study area and also provide reference for calculating shale content and porosity in other complex tight sandstone reservoirs.

Key words: shale content, tight sandstone, low porosity and low permeability reservoir, Lower He 8 Member, logging response characteristics, Jingbian Gasfield

中图分类号:

TE122

罗广惠, 代恒, 余杰, 张小莉, 杨懿, 李亚军, 阎媛子, 周志杰. 靖边气田盒8_下致密砂岩储层泥质含量预测[J]. 特种油气藏, 2025, 32(6): 78-85.

LUO Guanghui, DAI Heng, YU Jie, ZHANG Xiaoli, YANG Yi, LI Yajun, YAN Yuanzi, ZHOU Zhijie. Prediction of shale content in tight sandstone reservoirs of the Lower He 8 Member in Jingbian Gasfield[J]. Special Oil & Gas Reservoirs, 2025, 32(6): 78-85.

参考文献

[1] 邹才能,朱如凯,吴松涛,等.常规与非常规油气聚集类型、特征、机理及展望——以中国致密油和致密气为例[J].石油学报,2012,33(2):173-187.
ZOU Caineng,ZHU Rukai,WU Songtao,et al.Types,characteristics,genesis and prospects of conventional and unconventional hydrocarbon accumulations:taking tight oil and tight gas in China as an instance[J].Acta Petrolei Sinica,2012,33(2):173-187.
[2] 崔明明,李进步,李莹,等.鄂尔多斯盆地苏里格气田西南部致密储层非均质性特征及对成藏的制约[J].地质学报,2024,98(1):214-230.
CUI Mingming,LI Jinbu,LI Ying,et al.Heterogeneity characteristics and its constraints on accumulation of tight sandstone reservoirs in the southwestern Sulige Gasfield,Ordos Basin[J].Acta Geologica Sinica,2024,98(1):214-230.
[3] 胡英杰.湖相碳酸盐岩致密油主控因素及“甜点”刻画[J].特种油气藏,2018,25(6):6-11,18.
HU Yingjie.Main-controlling factors and "sweet-spot" characterization of lacustrine carbonate tight oil reservoir[J].Special Oil & Gas Reservoirs,2018,25(6):6-11,18.
[4] LAI J,WANG G,RAN Y,et al.Predictive distribution of high-quality reservoirs of tight gas sandstones by linking diagenesis to depositional facies:evidence from Xu-2 sandstones in the Penglai Area of the central Sichuan Basin,China[J].Journal of natural gas science and engineering,2015,23:97-111.
[5] YIN X D,JIANG S,CHEN S J,et al.Impact of rock type on the pore structures and physical properties within a tight sandstone reservoir in the Ordos Basin,NW China[J].Petroleum Science,2020,17(4):896-911.
[6] 程超,张亮,李培彦,等.碎屑岩泥质分布形式的测井评价研究进展[J].地球物理学进展,2021,36(3):1052-1061.
CHENG Chao,ZHANG Liang,LI Peiyan,et al.Advances in logging evaluation of shale distribution in clastic rocks[J].Progress in Geophysics,2021,36(3):1052-1061.
[7] 申怡博,张小莉,孙佩,等.定边东韩长2油层组复杂油水层识别技术[J].西北大学学报(自然科学版),2010,40(1):121-125.
SHEN Yibo,ZHANG Xiaoli,SUN Pei,et al.Recognition technology of the complicated oil and water layers in Chang 2 oil-bearing formation of Donghan Area in Dingbian Oilfield[J].Journal of Northwest University(Natural Science Edition),2010,40(1):121-125.
[8] 刘卫国,宋宪生,郭长林,等.利用自然伽马测井数据计算地层泥质含量[J].铀矿地质,2017,33(1):45-48,54.
LIU Weiguo,SONG Xiansheng,GUO Changlin,et al.Content Index calculation of argillaceous rock in strata with natural gamma logging data[J].Uranium Geology,2017,33(1):45-48,54.
[9] 赖富强,李仕超,王敏,等.济阳坳陷页岩油储层矿物组分最优化反演方法[J].特种油气藏,2022,29(2):16-23.
LAI Fuqiang,LI Shichao,WANG Min,et al.Optimal retrieval method for mineral constituents of shale oil reservoirs in Jiyang Sag[J].Special Oil & Gas Reservoirs,2022,29(2):16-23.
[10] 于洋,王祝文,宁琴琴,等.松辽盆地大庆长垣四方台组可地浸砂岩铀成矿测井评价[J].吉林大学学报(地球科学版),2020,50(3):929-940.
YU Yang,WANG Zhuwen,NING Qinqin,et al.Logging evaluation of in-situ leachable sandstone uranium mineralization in Sifangtai Formation of Daqing Placanticline,Songliao Basin[J].Journal of Jilin University(Earth Science Edition),2020,50(3):929-940.
[11] 张喆安,刘龙成,王书黎,等.多元线性回归模型与多层感知器神经网络在铀矿测井泥质含量预测中的应用[J].铀矿地质,2024,40(5):1007-1013.
ZHANG Zhean,LIU Longcheng,WANG Shuli,et al.Application of multiple linear regression and multilayer perceptron neural network in predicting shale content for uranium logging[J].Uranium Geology,2024,40(5):1007-1013.
[12] 赵军,刘仕鑫,李元平,等.基于测井资料的南海天然气水合物储层识别与参数计算[J].地球物理学进展,2022,37(6):2508-2517.
ZHAO Jun,LIU Shixin,LI Yuanping,et al. Logging identification and evaluation of gas hydrate reservoirs in the South China Sea[J].Progress in Geophysics,2022,37(6):2508-2517.
[13] 于振锋,程日辉,赵小青,等.砂岩补偿中子-补偿密度响应与孔隙类型研究——以海拉尔盆地乌南凹陷下白垩统砂岩为例[J].中国矿业大学学报,2012,41(4):589-597.
YU Zhenfeng,CHENG Rihui,ZHAO Xiaoqing,et al.CNL-DEN response and pore types of sandstones:a case study on sandstones in Lower Cretaceous of Wunan Depression in Hailar Basin[J].Journal of China University of Mining & Technology,2012,41(4):589-597.
[14] 张德梅,王桂萍,娄宪刚,等.测井曲线组合法求取泥质含量探讨[J].测井技术,2011,35(4):358-362.
ZHANG Demei,WANG Guiping,LOU Xian′gang,et al.On calculating the shale content with log curve combining method[J].Well Logging Technology,2011,35(4):358-362.
[15] 袁义东,张金功,刘林玉,等.因子分析法在陆相致密砂岩及泥页岩储层泥质含量预测中的应用[J].矿物岩石,2017,37(4):110-116.
YUAN Yidong,ZHANG Jingong,LIU Linyu,et al.The application of factor analysis method to the prediction of shale content of continental tight sandstone and shale reservoir[J].Minerlogy and Petrology,2017,37(4):110-116.
[16] 吴晓光,缪祥禧,王志文,等.自然伽马能谱测井在四川盆地矿产资源勘探中的应用[J].特种油气藏,2021,28(5):45-52.
WU Xiaoguang,MIAO Xiangxi,WANG Zhiwen,et al.Application of natural gamma spectrometry logging in mineral resources exploration in Sichuan Basin[J].Special Oil & Gas Reservoirs,2021,28(5):45-52.
[17] 司马立强,罗兴,张凤生,等.基于曲线重构的高伽马地层泥质含量计算方法[J].测井技术,2013,37(3):244-248.
SIMA Liqiang,LUO Xing,ZHANG Fengsheng,et al.On the method of clay content calculation based on the curve reconstruction of the formation with high gamma value[J].Well Logging Technology,2013,37(3):244-248.
[18] ZHU L Q,WEI J G,WU S G,et al.Application of unlabelled big data and deep semisupervised learning to significantly improve the logging interpretation accuracy for deep sea gas hydrate-bearing sediment reservoirs[J].Energy Reports,2022,8:2947-2963.
[19] 邵蓉波,肖立志,廖广志,等.基于多任务学习的测井储层参数预测方法[J].地球物理学报,2022,65(5):1883-1895.
SHAO Rongbo,XIAO Lizhi,LIAO Guangzhi,et al.Multitask learning based reservoir parameters prediction with geophysical logs[J].Chinese Journal of Geophysics,2022,65(5):1883-1895.
[20] 刘之的,杨双定,刘有霞,等.南梁油田长4+5储层泥质含量计算方法[J].西安石油大学学报(自然科学版),2015,30(2):25-29.
LIU Zhidi,YANG Shuangding,LIU Youxia,et al.Calculation method of shale content of Chang 4 + 5 reservoir in Nanliang Oilfield[J].Journal of Xi′an Shiyou University(Natural Science Edition),2015,30(2):25-29.
[21] LI S Z,SUO Y H,SANTOSH M,et al.Mesozoic to Cenozoic intracontinental deformation and dynamics of the north China Craton[J].Geological Journal,2013,48(5):543-560.
[22] 尚万宁.靖边气田下古气藏产水综合治理技术研究[D].成都:西南石油大学,2013.
SHANG Wanning.Research on comprehensive water control technology for Lower Paleozoic gas reservoirs in Jingbian Gasfield[D].Chengdu:Southwest Petroleum University,2013.
[23] 黄文科,马雄雄,潘晓丽,等.鄂尔多斯盆地靖边气田上古生界致密砂岩岩石类型测井识别[J].国外测井技术,2024,45(1):32-39.
HUANG Wenke,MA Xiongxiong,PAN Xiaoli,et al.Logging identification of Upper Paleozoic tight sandstone in Jingbian Gasfield,Ordos Basin[J].World Well Logging Technology,2024,45(1):32-39.
[24] 路萍,王浩辰,高春云,等.致密砂岩储层渗透率预测技术研究进展[J].地球物理学进展,2022,37(6):2428-2438.
LU Ping,WANG Haochen,GAO Chunyun,et al.Research progress of permeability prediction technology for tight sandstone reservoirs[J].Progress in Geophysics,2022,37(6):2428-2438.
[25] 陈兴官,张子为,陈楠,等.靖边气田中区上古生界山23—盒8段储层气水特征及含气性研究[J].地球物理学进展,2025,40(1):176-187.
CHEN Xingguan,ZHANG Ziwei,CHEN Nan,et al.Study on gas-water characteristics and gas-bearing properties of Upper Paleozoic Shan 23-He 8 Member reservoir in middle area of Jingbian Gas Field[J].Progress in Geophysics,2025,40(1):176-187.
[26] 唐海燕,莫修文,唐馨,等.乌尔逊地区凝灰质砂岩储集层孔隙度计算方法研究[J]. 吉林大学学报(地球科学版),2008,38(增刊1):121-123,127.
TANG Haiyan,MO Xiuwen,TANG Xin,et al.The study on computing porosity of the tuffaceous sands reservoir of Wuerxun Area[J].Journal of Jilin University(Earth Science Edition),2008,38(S1):121-123,127.
[27] 刘刚.鄂尔多斯盆地富县水磨沟长8段致密油藏源-储配置关系测井评价[D].西安:西北大学,2019.
LIU Gang.Logging evaluation of source-reservoir configuration relationship in tight oil reservoirs of the Chang 8 Member in Shuimogou,Fuxian,Ordos Basin[D].Xi′an:Northwest University,2019.

靖边气田盒8_下致密砂岩储层泥质含量预测

Prediction of shale content in tight sandstone reservoirs of the Lower He 8 Member in Jingbian Gasfield

PDF (PC)

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]	李明秋, 张广东, 于鹏, 王会强, 胥伟冲, 时尔翰, 丰妍. 河道砂气藏地层可动水评价及对采收率影响[J]. 特种油气藏, 2025, 32(6): 86-91.
[2]	魏长霖, 郝红勋, 赵钰峰, 李康, 史海峰, 张春晖. 静态与动态渗吸相结合提高致密砂岩开发效果实验[J]. 特种油气藏, 2025, 32(5): 129-136.
[3]	夏辉, 王龙, 李娅, 张道锋, 张园园, 朱望明, 张伟, 刘平. 鄂尔多斯盆地庆阳气田上古生界气藏气水分布主控因素[J]. 特种油气藏, 2025, 32(1): 88-97.
[4]	刘客. 基于核磁共振和恒速压汞的致密砂岩孔喉结构表征新方法[J]. 特种油气藏, 2025, 32(1): 135-143.
[5]	刘林, 刘向君, 桑琴, 熊健, 李玮, 梁利喜. 川西中坝致密砂岩气储层微观孔隙结构特征及分类评价[J]. 特种油气藏, 2024, 31(5): 31-40.
[6]	李亚婷, 童长兵, 韩进, 师良, 钟高润, 赵帮胜. 致密砂岩储层可动流体分布特征及主控因素[J]. 特种油气藏, 2024, 31(4): 44-53.
[7]	邱玉超, 许强, 李一博, 邓伟, 郑超, 赵正望, 金值民, 谭秀成. 四川盆地天府地区上三叠统须家河组四段致密储层砂体刻画及有利储层预测[J]. 特种油气藏, 2024, 31(3): 18-26.
[8]	石立华, 师调调, 廖志昊, 薛颖, 李禄胜. 低渗致密砂岩油藏水驱储层变化规律[J]. 特种油气藏, 2024, 31(3): 106-115.
[9]	郭顺, 周进松, 郭兰, 陈西泮, 赵子丹, 汶锋刚. 延安气田上古生界山西组致密砂岩储层微观特征及主控因素[J]. 特种油气藏, 2024, 31(2): 10-18.
[10]	郑超, 邱玉超, 文龙, 李楠, 吴长江, 张晓丽, 陈双玲, 袁纯. 川中中台山地区致密砂岩储层层序特征及有利区优选[J]. 特种油气藏, 2024, 31(2): 84-92.
[11]	杜佳, 郭晶晶, 刘彦成, 张迎春. 临兴气田致密砂岩储层可动流体分布特征及主控因素[J]. 特种油气藏, 2024, 31(2): 152-158.
[12]	赵辉, 齐怀彦, 王凯, 蔡涛, 孟利华, 周兵. 致密砂岩油藏测井响应特征及有利区评价[J]. 特种油气藏, 2023, 30(5): 35-41.
[13]	孟婧, 张莉莹, 李芮, 赵爱芳, 朱碧蔚, 黄佩, 沈世波. 致密砂岩储层微观孔隙结构特征及其分类评价[J]. 特种油气藏, 2023, 30(4): 71-78.
[14]	孙永鹏, 王传熙, 戴彩丽, 魏利南, 陈超, 谢孟珂. 致密砂岩气藏自支撑裂缝损伤机理及导流能力研究[J]. 特种油气藏, 2023, 30(3): 81-87.
[15]	贾泽江, 宁正福, 张文通, 毛柱, 王质鹏, 程志林. 致密油藏直流电提高采收率技术实验研究[J]. 特种油气藏, 2023, 30(3): 88-96.