地质勘探

靖边气田盒8致密砂岩储层泥质含量预测

  • 罗广惠 ,
  • 代恒 ,
  • 余杰 ,
  • 张小莉 ,
  • 杨懿 ,
  • 李亚军 ,
  • 阎媛子 ,
  • 周志杰
展开
  • 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
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。

收稿日期: 2024-12-05

  修回日期: 2025-08-05

  网络出版日期: 2025-12-31

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 ,
  • DAI Heng ,
  • YU Jie ,
  • ZHANG Xiaoli ,
  • YANG Yi ,
  • LI Yajun ,
  • YAN Yuanzi ,
  • ZHOU Zhijie
Expand
  • 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 date: 2024-12-05

  Revised date: 2025-08-05

  Online published: 2025-12-31

摘要

针对鄂尔多斯盆地上古生界石盒子组盒8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。

本文引用格式

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致密砂岩储层泥质含量预测[J]. 特种油气藏, 2025 , 32(6) : 78 -85 . DOI: 10.3969/j.issn.1006-6535.2025.06.009

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.

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.
文章导航

/