Lithologic Reservoirs ›› 2026, Vol. 38 ›› Issue (2): 76-85.doi: 10.12108/yxyqc.20260207

• PETROLEUM EXPLORATION • Previous Articles     Next Articles

Fluid activity attribute-constrained inversion method for tight reservoirs of Jurassic Ahe Formation in Dibei gas reservoir, Kuqa Depression

PENG Fen1(), REN Dengfeng1, PENG Jianxin1, WEI Hongxing2   

  1. 1 Oil and Gas Engineering Research Institute, PetroChina Tarim Oilfield Company, Korla 841000, Xinjiang, China
    2 Research Institute of Exploration and Development, PetroChina Tarim Oilfield Company, Korla 841000, Xinjiang, China
  • Received:2024-12-10 Revised:2025-03-24 Online:2026-03-01 Published:2026-02-05

Abstract:

Tight sandstone gas reservoirs generally suffer from poor physical properties and strong heterogenei-ty, and conventional seismic inversion methods have poor performance in fluid identification in such reservoirs. Based on matching pursuit, ensemble empirical mode decomposition, fluid activity attribute extraction, and Bayesian theory, a regularized inversion method constrained by fluid activity attributes was proposed. The method was validated through model data testing and applied to predict tight sandstone reservoirs in Jurassic Ahe Formation of Dibei gas reservoir in Kuqa Depression. The results show that: (1) The main idea of fluid activity attribute-constrained inversion is to perform time-frequency analysis using MP-EEMD technique to extract fluid activity attributes, and to construct the inversion objective function under Bayesian theory, in which the norma-lized fluid activity attributes are incorporated as soft constraints. (2) Model data tests show that MP-EEMD time-frequency spectrum overcomes multi-frequency interference, achieving higher resolution in both time and frequency domains. Furthermore, the inversion results with fluid constraints demonstrate superior predictive performance for fluid-bearing formations compared with conventional inversion. (3) The application of fluid activity attributes-constrained inversion in Jurassic Ahe Formation reservoirs in Dibei gas field of Kuqa Depression shows that: inverted P-wave velocity results exhibit higher consistency with well-logging interpretations, and with improved thin-bed characterization, achieving higher vertical resolution compared with conventional methods.

Key words: tight sandstone, reservoir prediciton, fluid activity attribute, post-stack inversion, matching pursuit, fluid detection, Ahe Formation, Jurassic, Dibei gas reservoir, Kuqa Depression

CLC Number: 

  • TE3111

Fig. 1

Tectonic unit division (a), reservoir profile (b), and comprehensive stratigraphic column of Jurassic (c) of Dibei gas reservoir in Kuqa Depression"

Fig. 2

Synthetic signals containing multi-frequency interference"

Table 1

Wavelet parameters"

子波 表达式 参数
W1 $ D \cdot \sin (2 \pi \cdot v t)$ D = 1,v = 10 Hz
W2 $ \begin{array}{c}D \cdot \exp \left[-4 \ln 2 v^{2} \sigma^{-2}(t-\tau)^{2}+\right. \\i 2 \pi v(t-\tau)]\end{array}$ D = 5,σ = 1,
v = 20 Hz,τ = 0.1 s
W3 D = 5,σ = 1,
v = 40 Hz,τ = 0.2 s
W4 D = 5,σ = 1,
v = 60 Hz,τ = 0.3 s

Fig. 3

Reconstruction of synthetic signals and comparison of methods"

Fig. 4

Post-stack amplitude spectra for different lithologies (a) and the corresponding amplitude gradients (b) of Jurassic Ahe Formation in gas-bearing well A1,Kuqa Depression"

Fig. 5

Seismic trace (a) and seismic fluid activity attribute (b) of Jurassic Ahe Formation near gas-bearing well A1 in Kuqa Depression"

Fig. 6

Seismic trace (a) and corresponding seismic fluid activity attribute (b) of Jurassic Ahe Formation near water-cut well A2 in Kuqa Depression"

Fig. 7

Fluid activity attribute profile of Jurassic Ahe Formation between well A1 and well A2 in Kuqa Depression"

Fig. 8

Comparison between 1D sparse-spike inversion and fluid activity attribute-constrained inversion based on 1D synthetic data"

Fig. 9

Seismic sections of Jurassic Ahe Formation of well A to well B in Dibei gas reservoir, Kuqa Depression"

Fig. 10

Spectral characteristics of seismic data from Jurassic Ahe Formation in Dibei gas reservoir, Kuqa Depression"

Fig. 11

Post-stack fluid detection profile of Jurassic Ahe Formation in well C of Dibei gas reservoir, Kuqa Depression"

Fig. 12

Results comparison of conventional inversion and fluid-constrained inversion of Jurassic Ahe Formation between well A and well B in Dibei gas reservoir, Kuqa Depression"

Fig. 13

Effective reservoir thickness of H0 sublayer of Jurassic Ahe Formation between well A and well B in Dibei gas reservoir, Kuqa Depression"

[1] 王华超, 韩登林, 欧阳传湘, 等. 库车坳陷北部阿合组致密砂岩储层特征及主控因素[J]. 岩性油气藏, 2019, 31(2):115-123.
doi: 10.12108/yxyqc.20190213
WANG Huachao, HAN Denglin, OUYANG Chuanxiang, et al. Characteristics and main controlling factors of tight sandstone reservoir of Ahe Formation in northern Kuqa Depression[J]. Lithologic Reservoirs, 2019, 31(2):115-123.
doi: 10.12108/yxyqc.20190213
[2] 卫欢, 单长安, 朱松柏, 等. 库车坳陷克深地区白垩系巴什基奇克组致密砂岩裂缝发育特征及地质意义[J]. 岩性油气藏, 2025, 37(1):149-160.
doi: 10.12108/yxyqc.20250113
WEI Huan, SHAN Changan, ZHU Songbai, et al. Fracture development characteristics and geological significance of tight sandstone of Cretaceous Bashijiqike Formation in Keshen area,Kuqa Depression[J]. Lithologic Reservoirs, 2025, 37(1):149-160.
doi: 10.12108/yxyqc.20250113
[3] 姜仁, 欧阳永林, 曾庆才, 等. Russell流体因子在致密砂岩气层检测中的应用[J]. 天然气工业, 2017, 37(1):76-81.
JIANG Ren, OUYANG Yonglin, ZENG Qingcai, et al. Application of the Russell fluid factor in tight sandstone gas detection[J]. Natural Gas Industry, 2017, 37(1):76-81.
[4] 张宝收, 鲁雪松, 孙雄伟, 等. 塔里木盆地迪北致密砂岩气藏储层物性下限研究[J]. 岩性油气藏, 2015, 27(1):81-88.
ZHANG Baoshou, LU Xuesong, SUN Xiongwei, et al. Study on the lower limit of physical properties of tight sandstone gas reservoirs in Dibei area,Tarim Basin[J]. Lithologic Reservoirs, 2015, 27(1):81-88.
[5] RUSSELL B H, GRAY D, HAMPSON D P. Linearized AVO and poroelasticity[J]. Geophysics, 2011, 76(3):C19-C29.
[6] 郑伟, 程志国, 陈勇, 等. 泊松阻尼因子在准噶尔盆地石炭系火山岩储层流体检测中的应用[R]. 重庆,第32届全国天然气学术年会, 2020.
ZHENG Wei, CHENG Zhiguo, CHEN Yong, et al. Application of Poisson Damping Factor in Fluid Detection of Carboniferous Volcanic Reservoirs in Junggar Basin[R]. Chongqing,32nd National Natural Gas Academic Conference of Chinese Petroleum Society, 2020.
[7] ZHANG Yijiang, WEN Xiaotao, JIANG Lian, et al. Prediction of high-quality reservoirs using the reservoir fluid mobility attribute computed from seismic data[J]. Journal of Petroleum Science and Engineering, 2020, 190:107007.
doi: 10.1016/j.petrol.2020.107007
[8] 宁忠华, 贺振华, 黄德济. 基于地震资料的高灵敏度流体识别因子[J]. 石油物探, 2006, 45(3):239-241,15.
NING Zhonghua, HE Zhenhua, HUANG Deji. High sensitive fluid identification based on seismic data[J]. Geophysical Prospecting for Petroleum, 2006, 45(3):239-241.
[9] MALLAT S G, ZHANG Zhifeng. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing, 1993, 41(12):3397-3415.
doi: 10.1109/78.258082
[10] 印兴耀, 裴松, 李坤, 等. 多尺度快速匹配追踪多域联合地震反演方法[J]. 地球物理学报, 2020, 63(9):3431-3441.
doi: 10.6038/cjg2020N0040
YIN Xingyao, PEI Song, LI Kun, et al. Seismic inversion in joint domain based on multi-scale fast matching pursuit[J]. Chinese Journal of Geophysics, 2020, 63(9):3431-3441.
[11] 党腾雲, 徐天吉, 钱忠平, 等. 基于匹配追踪与核主成分分析的地震信号高分辨率处理方法[J]. 石油地球物理勘探, 2024, 59(4):782-789.
DANG Tengyun, XU Tianji, QIAN Zhongping, et al. High-resolution seismic signal processing method based on matching pursuit and kernel principal component analysis[J]. Oil Geophysical Prospecting, 2024, 59(4):782-789.
[12] 徐光成, 巴晶, 李劲松, 等. 阿姆河右岸麦捷让地区碳酸盐岩储层流体检测研究[J]. 地球物理学进展, 2013, 28(3):1507-1515.
XU Guangcheng, BA Jing, LI Jinsong, et al. A study on fluid detection in Metajan carbonate reservoirs in the right bank block of Amu Darya river[J]. Progress in Geophysics, 2013, 28(3):1507-1515.
[13] 杨璐, 贺振华, 文晓涛, 等. 频率衰减属性在深层碳酸盐岩油气勘探中的应用[J]. 岩性油气藏, 2012, 24(5):98-101.
YANG Lu, HE Zhenhua, WEN Xiaotao, et al. Application of frequency attenuation attributes to oil and gas exploration in deep carbonate rocks[J]. Lithologic Reservoirs, 2012, 24(5):98-101.
doi: 10.3969/j.issn.1673-8926.2012.05.018
[14] 陈姝荞. 匹配追踪算法在地震资料处理中的应用[D]. 北京: 中国石油大学(北京), 2020.
CHEN Shuqiao. Application of matching pursuit algorithm in seismic data processing[D]. Beijing: China University of Petroleum (Beijing), 2020.
[15] 张懿疆. 储层流体流度预测研究[D]. 成都: 成都理工大学, 2022.
ZHANG Yijiang. Research on prediction of reservoir fluid mobility[D]. Chengdu: Chengdu University of Technology, 2022.
[16] 张俊杰. 基于叠前反演流体属性提取方法研究[D]. 北京: 中国石油大学(北京), 2024.
ZHANG Junjie. Research on fluid attribute extraction method based on prestack inversion[D]. Beijing: China University of Petroleum (Beijing), 2024.
[17] 黄捍东, 张如伟, 魏世平. 地震非线性随机反演方法在陆相薄砂岩储层预测中的应用[J]. 石油学报, 2009, 30(3):386-390.
doi: 10.7623/syxb2009011
HUANG Handong, ZHANG Ruwei, WEI Shiping. Research on application of seismic nonlinear random inversion to reservoir prediction in the thin sandstone of continental deposits[J]. Acta Petrolei Sinica, 2009, 30(3):386-390.
doi: 10.7623/syxb2009011
[18] 张雨强, 文晓涛, 吴昊, 等. 基于Lp拟范数稀疏约束和交替方向乘子算法的波阻抗反演[J]. 石油物探, 2022, 61(5):856-864.
doi: 10.3969/j.issn.1000-1441.2022.05.010
ZHANG Yuqiang, WEN Xiaotao, WU Hao, et al. Seismic acoustic impedance inversion using Lp quasi-norm sparse constraint and alternating direction multipllier algorithm[J]. Geophysical Prospecting for Petroleum, 2022, 61(5):856-864.
doi: 10.3969/j.issn.1000-1441.2022.05.010
[19] GUO Zhiqi, LI Yuedong, LIU Cai, et al. Characterization of a volcanic gas reservoir using seismic sispersion and fluid mobility attributes[J]. Lithosphere, 2021,2021(Special 3):9520064.
[20] ZENG Jing, STOVAS A, HUANG Handong, et al. Prediction of shale gas reservoirs using fluid mobility attribute driven by post-stack seismic data:A case study from Southern China[J]. Applied Sciences, 2021, 11(1):219.
doi: 10.3390/app11010219
[21] 唐雁刚, 杨宪彰, 谢会文, 等. 塔里木盆地库车坳陷侏罗系阿合组致密气藏特征与勘探潜力[J]. 中国石油勘探, 2021, 26(4):113-124.
TANG Yangang, YANG Xianzhang, XIE Huiwen, et al. Tight gas reservoir characteristics and exploration potential of Jurassic Ahe Formation in Kuqa Depression,Tarim Basin[J]. China Petroleum Exploration, 2021, 26(4):113-124.
[22] 王清华, 张荣虎, 杨宪彰, 等. 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.
doi: 10.7623/syxb202208002
WANG Qinghua, ZHANG Ronghu, YANG Xianzhang, et al. Major breakthrough and geological significance of tight sandstone gas exploration in Jurassic Ahe Formation in Dibei area,eastern Kuqa depression[J]. Acta Petrolei Sinica, 2022, 43(8):1049-1064.
doi: 10.7623/syxb202208002
[23] 王珂, 杨海军, 李勇, 等. 塔里木盆地库车坳陷北部构造带地质特征与勘探潜力[J]. 石油学报, 2021, 42(7):885-905.
doi: 10.7623/syxb202107005
WANG Ke, YANG Haijun, LI Yong, et al. Geological characte-ristics and exploration potential of the northern tectonic belt of Kuqa depression in Tarim Basin[J]. Acta Petrolei Sinica, 2021, 42(7):885-905.
[24] 袁纯, 张惠良, 王波. 大型辫状河三角洲砂体构型与储层特征:以库车坳陷北部阿合组为例[J]. 岩性油气藏, 2020, 32(6):73-84.
doi: 10.12108/yxyqc.20200607
YUAN Chun, ZHANG Huiliang, WANG Bo. Sand body configuration and reservoir characteristics of large braided river delta:A case study of Ahe Formation in northern Kuqa Depression,Tarim Basin[J]. Lithologic Reservoirs, 2020, 32(6):73-84.
doi: 10.12108/yxyqc.20200607
[25] 王清华, 杨海军, 杨威. 库车坳陷超深层碎屑岩油气地质研究新进展和下步勘探方向[J]. 石油勘探与开发, 2025, 52(1):70-83.
doi: 10.11698/PED.20240135
WANG Qinghua, YANG Haijun, YANG Wei. New progress and future exploration targets in petroleum geological research of ultra-deep clastic rocks in Kuqa Depression,Tarim Basin,NW China[J]. Petroleum Exploration and Development, 2025, 52(1):70-83.
[26] 王剑, 吴亚宁, 王涛, 等. 地震分频多级稀疏正则化反演方法:以渤中凹陷石臼坨凸起古近系东营组二段为例[J]. 岩性油气藏, 2025, 37(4):38-49.
doi: 10.12108/yxyqc.20250404
WANG Jian, WU Yaning, WANG Tao, et al. Multi-level sparse regularization inversion method for seismic frequency division:A case study from the second member of Paleogene Dongying Formation in Shijiutuo Uplift,Bozhong Sag[J]. Lithologic Re-servoirs, 2025, 37(4):38-49.
[27] ZENG Jing, HUANG Handong, LI Huijie, et al. A fast complex domain-matching pursuit algorithm and its application to deep-water gas reservoir detection[J]. Journal of Geophysics and Engineering, 2017, 14(6):1335-1348.
doi: 10.1088/1742-2140/aa7bd8
[28] 王迪, 张益明, 牛聪, 等. 储层敏感流体因子反演及烃类检测[J]. 石油地球物理勘探, 2021, 56(1):146-154.
WANG Di, ZHANG Yiming, NIU Cong, et al. Reservoir sensitive fluid factor inversion and its application in hydrocarbon detection[J]. Oil Geophysical Prospecting, 2021, 56(1):146-154.
[29] SILIN D, GOLOSHUBIN G. An asymptotic model of seismic reflection from a permeable layer[J]. Transport in Porous Media, 2010, 83(1):233-256.
doi: 10.1007/s11242-010-9533-8
[1] XUE Bowen, ZHANG Zhaohui, ZHANG Jiaosheng, ZOU Jiandong, ZHANG Wenting. Intelligent identification of fluid logging in tight sandstone reservoirs based on GWO-XGBoost model: A case study of Triassic Chang 8 member in Hongde area, Ordos Basin [J]. Lithologic Reservoirs, 2026, 38(2): 111-121.
[2] ZHAN Wangzhong, SUI Boyu, WANG Zhongwei, HUO Fei, QI Jun, XIE Shangke, ZENG Shengqiang, HOU Qian. Sedimentary characteristics and reservoir evaluation of Jurassic Quemocuo Formation in Maqu area, eastern part of North Qiangtang Depression [J]. Lithologic Reservoirs, 2026, 38(2): 162-177.
[3] YU Chuan, WU Xiaochuan, WANG Wei, WANG Shengxiu, ZHANG Yuelei, GUO Dongxin, LIU Aihua. Lithofacies combination characteristics and hydrocarbon accumulation condition of lacustrine shale in Lower Jurassic, eastern Sichuan Basin [J]. Lithologic Reservoirs, 2026, 38(2): 32-43.
[4] MENG Yang, CAO Xiaopeng, ZHAO Hao, YANG Minglin, LI Zhipeng, TIAN Zhenlei, WU Hongcui, JIANG Yue. Development characteristics and main controlling factors of natural fractures of Jurassic Qigu Formation in Yongjin area, Junggar Basin [J]. Lithologic Reservoirs, 2026, 38(1): 13-25.
[5] MA Daibing, MA Wentao, HAN Wenyuan, CHEN Shangbin, GUO Xingxing. Reservoir formation condition and favorable areas optimization of coalbed methane of Jurassic Yaojie Formation in Yaojie mining area, Minhe Basin [J]. Lithologic Reservoirs, 2026, 38(1): 26-37.
[6] YIN Jiang, JIAO Xuejun, LI Xiaolong, LI Taifu, SHEN Zhanyong, LI Mengxi, SUN Rui, ZHU Yushuang. Evaluation method for oil saturation in low resistivity reservoirs based on random forest optimization algorithm [J]. Lithologic Reservoirs, 2026, 38(1): 55-66.
[7] TIAN Wenzhong, QIAO Lin, YUAN Jian, LI Xingwen, XIANG Lei, WANG Changcheng, LU Gang, LU Xihe. Seismic prediction method for thin sandstone reservoirs in shallow water delta front: A case study of the second member of Jurassic Penglaizhen Formation in Western Sichuan Depression [J]. Lithologic Reservoirs, 2026, 38(1): 78-88.
[8] SU Shuai, QU Hongjun, YIN Hu, ZHANG Leigang, YANG Xiaofeng. Fractal characteristics of pore throat structure and their influence on reservoir physical properties of tight sandstone reservoir: A case study of Triassic Chang 8 member in Fuxian area, Ordos Basin [J]. Lithologic Reservoirs, 2025, 37(6): 88-98.
[9] MIAO Zhiwei, LI Shikai, ZHANG Wenjun, XIAO Wei, LIU Ming, YU Tong. Seismic prediction technology for complex network fractures in fault-fracture reservoir of tight sandstones: A case study of Triassic Xujiahe Formation in northern Sichuan Basin [J]. Lithologic Reservoirs, 2025, 37(6): 140-150.
[10] LI Chunyang, WANG Boli, YAN Xiao, LI Kesai, DENG Hucheng, SU Jinyi, WU Yajun, YE Tairan. Current geostress logging evaluation of tight reservoir in the fourth member of Triassic Xujiahe Formation in Yuanba area, northeastern Sichuan Basin [J]. Lithologic Reservoirs, 2025, 37(6): 151-161.
[11] YE Hui, ZHU Feng, WANG Guizhong, SHI Wanzhong, KANG Xiaoning, DONG Guoning, Naziyiman, WANG Ren. Paleogeomorphy restoration of Permian-Jurassic and its hydrocarbon implications in Junggar Basin,NW China [J]. Lithologic Reservoirs, 2025, 37(5): 122-132.
[12] XU Sihui, ZHAO Jun, ZHAO Xinjian, WANG Junyu, LI Zhaoping, LIN Zongpeng. Fracture effectiveness evaluation of tight reservoir of Cretaceous Yageliemu Formation in Kelasu structural belt,Kuqa piedmont [J]. Lithologic Reservoirs, 2025, 37(5): 155-165.
[13] TIAN Jixian, SHI Zhenghao, LI Jian, SHA Wei, JIANG Zhengwen, YANG Lei, YU Xue, PU Yongxia. Reservoir formation conditions and exploration potential of Jurassic coal-rock gas in Qaidam Basin [J]. Lithologic Reservoirs, 2025, 37(4): 17-25.
[14] WANG Jian, WU Yaning, WANG Tao, JIA Wanli, BAO Yifan, LIU Lifeng. Multi-level sparse regularization inversion method for seismic frequency division: A case study from the second member of Paleogene Dongying Formation in Shijiutuo Uplift,Bozhong Sag [J]. Lithologic Reservoirs, 2025, 37(4): 38-49.
[15] XIE Huiwen, ZHANG Liang, WANG Bin, LUO Haoyu, ZHANG Ke, ZHANG Guowei, LI Ling, SHEN Lin. Characteristics of Triassic paleostructure and their control on sedimentation in Kuqa Depression,Tarim Basin [J]. Lithologic Reservoirs, 2025, 37(3): 13-22.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!
TRENDMD: