岩性油气藏 ›› 2025, Vol. 37 ›› Issue (3): 95–107.doi: 10.12108/yxyqc.20250309

• 地质勘探 • 上一篇    

鄂尔多斯盆地陇东地区三叠系长81亚段岩石相测井识别及勘探意义

张兆辉1,2, 张皎生3, 刘俊刚3, 邹建栋3, 张建伍3, 廖建波4, 李智勇4, 赵雯雯1   

  1. 1. 新疆大学 地质与矿业工程学院, 乌鲁木齐 830047;
    2. 甘肃省油气资源研究重点实验室, 兰州 730000;
    3. 中国石油长庆油田分公司勘探开发研究院, 西安 710018;
    4. 中国石油勘探开发研究院西北分院, 兰州 730020
  • 收稿日期:2024-10-28 修回日期:2024-11-20 发布日期:2025-05-10
  • 第一作者:张兆辉（1982—），男，博士，副教授，主要从事测井地质学及非常规油气储层评价方面的教学与研究工作。地址：（830046）新疆乌鲁木齐市水磨沟区新疆大学地质与矿业工程学院。Email：zhangzhaohui@xju.edu.cn。
  • 通信作者: 张皎生（1977—），女，硕士，高级工程师，主要从事低渗透油藏稳产技术研究。Email：zhangjs_cq@petrochina.com.cn。
  • 基金资助:
    国家自然科学基金项目“致密砂岩沉积层理地震响应机制及岩石相预测方法研究”（编号：42464006）、疆维吾尔自治区“天池英才”计划项目“基于沉积—成岩补偿评价的致密砂岩储层甜点预测”（编号：51052300560）和甘肃省油气资源研究重点实验室开放基金项目“致密砂岩全尺度岩石相数字建模及其地震响应分析”（编号：SZDKFJJ2023007）联合资助。

Lithofacies identification using conventional logging curves and its exploration significance，Triassic Chang 81 sub-member，Longdong area，Ordos Basin

ZHANG Zhaohui1,2, ZHANG Jiaosheng3, LIU Jungang3, ZOU Jiandong3, ZHANG Jianwu3, LIAO Jianbo4, LI Zhiyong4, ZHAO Wenwen1   

  1. 1. School of Geology and Mining Engineering, Xinjiang University, Urumqi 830047, China;
    2. Key Laboratory of Petroleum Resources Research, Gansu Province, Lanzhou 730000, China;
    3. Research Institute of Exploration and Development, Changqing Oilfield Branch Company of PetroChina, Xi'an 710018, China;
    4. PetroChina Research Institute of Petroleum Exploration and Development-Northwest, Lanzhou 730020, China
  • Received:2024-10-28 Revised:2024-11-20 Published:2025-05-10

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摘要： 利用岩心和露头资料，结合测井解释成果，划分了鄂尔多斯盆地陇东地区三叠系长81亚段致密砂岩的岩石相类型，并指出其测井响应特征。通过主成分分析优选出岩石相敏感测井参数，结合随机森林分类器的小方差特性和XGBoost算法的小偏差优势，构建Stacking集成学习模型，可智能识别岩石相。研究结果表明：①鄂尔多斯盆地陇东地区三叠系长81亚段共发育均质分流河道砂岩相、非均质分流河道砂岩相、均质河口坝砂岩相、非均质河口坝砂岩相、非均质漫溢砂岩相和泥岩相6种岩石相类型。均质分流河道砂岩相和均质河口坝砂岩相的石英、长石含量均较高，粒间孔、粒内溶孔均较发育，平均孔隙度为8.32%，平均渗透率为1.81 mD，是有利岩石相，以高能沉积环境形成的均质块状层理为识别标志；非均质分流河道砂岩相和非均质河口坝砂岩相以低能环境中发育的非均质性层理为特征。②Stacking集成学习模型明显提高了随机森林和XGBoost算法的岩石相识别正确率，达到了94.2%，为有利岩石相空间展布刻画提供了可靠的技术方法。③沉积作用决定了岩石相的空间展布，均质分流河道砂岩相主要发育在分流河道中部主体部位，呈条带状延伸至平均低水位线附近，非均质分流河道砂岩相则主要发育在河道边部侧翼部位，分布在均质河道砂岩相外围，呈包络状。多期均质分流河道砂岩相叠置区物性最好，为勘探开发有利区。

关键词: 致密砂岩, 岩石相, 集成学习模型, XGBoost算法, 测井识别, 长81, 三叠系, 陇东地区, 鄂尔多斯盆地

Abstract: Using core description，outcrop analysis，combined with logging interpretation，the types and logging response characteristic of lithofacies in tight sandstone of Chang 81 sub-member of the Yanchang Formation in the Longdong area of Ordos Basin have been classified and analyzed. Based on principal component analysis， sensitive logging parameters related to lithofacies were optimized. By leveraging the small variance characteristics of the random forest classifier and the minimal deviation of the XGBoost algorithm，a Stacking ensemble learning model was constructed to intelligently identify lithofacies. The results show that：（1）The Chang 81 submember in the Longdong area comprises six types of lithofacies：homogeneous fluvial channel lithofacies，heterogeneous fluvial channel lithofacies，homogeneous distributary mouth bar lithofacies, heterogeneous distributary mouth bar lithofacies，heterogeneous overtopping lithofacies，and mudstone lithofacies. The homogeneous fluvial channel and homogeneous distributary mouth bar facies exhibit high quartz and feldspar content，with relatively well-developed intergranular and intragranular solution pores. The average porosity is 8.32%，and the average permeability is 1.81 mD. These lithofacies represent a favorable lithofacies type，characterized by homogeneous blocky bedding formed in high-energy sedimentary environments. In contrast，the heterogeneous distributary channel lithofacies and heterogeneous distributary mouth bar lithofacies are distinguished by heterogeneous bedding formed under medium-low energy conditions.（2）In comparison to the Random Forest and XGBoost algorithms，the accuracy of the Stacking learning model in identifying lithofacies reached 94.2%. This result provides reliable methodological and technical support for characterizing lithofacies distribution.（3）The sedimentary process governs the spatial distribution of lithofacies，which serve as the material basis for sedimentary beddings. Homogeneous fluvial channel facies are predominantly developed in the central part of the distributary fluvial channel， exhibiting a banded structure that extends to the average low water level. In contrast，heterogeneous fluvial channel lithofacies are primarily located at the edges of the fluvial channel，surrounding the homogeneous fluvial channel lithofacies. The most favorable reservoir petrophysical properties，characterized by good physical attributes，are found in the overlapping areas of multiple periods of homogeneous fluvial channel lithofacies，marking them as potential regions for exploration and development.

Key words: tight sandstone, lithofacies, ensemble learning model, XGBoost algorithms, logging identification, Chang 81 sub-member, Triassic, Longdong area, Ordos Basin

中图分类号: 

  • TE122
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