Quantitative prediction model for the depth limit of oil accumulation in the deep carbonate rocks: A case study of Lower Ordovician in Tazhong area of Tarim Basin

被引:3
|
作者
Wang, Wen -Yang [1 ]
Pang, Xiong-Qi [2 ,3 ]
Wang, Ya-Ping [3 ,4 ]
Chen, Zhang-Xin [5 ]
Jiang, Fu-Jie [2 ,3 ]
Chen, Ying [1 ,3 ]
机构
[1] Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, Beijing 100029, Peoples R China
[2] China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
[3] China Univ Petr, Coll Geosci, Beijing 102249, Peoples R China
[4] PetroChina Southwest Oil & Gas Field Co, Res Inst Explorat & Dev, Chengdu 610051, Sichuan, Peoples R China
[5] Univ Calgary, Schulich Sch Engn, Chem & Petr Engn, Calgary, AB T2N 1N4, Canada
基金
中国国家自然科学基金;
关键词
Deep layer; Tarim Basin; Hydrocarbon accumulation; Depth limit of oil accumulation; Prediction model; HYDROCARBON ACCUMULATION; SICHUAN BASIN; GAS; CRACKING; CHALLENGES; RESERVOIRS; PROGRESS; EXAMPLE; MARINE;
D O I
10.1016/j.petsci.2023.11.013
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With continuous hydrocarbon exploration extending to deeper basins, the deepest industrial oil accumulation was discovered below 8,200 m, revealing a new exploration field. Hence, the extent to which oil exploration can be extended, and the prediction of the depth limit of oil accumulation (DLOA), are issues that have attracted significant attention in petroleum geology. Since it is difficult to characterize the evolution of the physical properties of the marine carbonate reservoir with burial depth, and the deepest drilling still cannot reach the DLOA. Hence, the DLOA cannot be predicted by directly establishing the relationship between the ratio of drilling to the dry layer and the depth. In this study, by establishing the relationships between the porosity and the depth and dry layer ratio of the carbonate reservoir, the relationships between the depth and dry layer ratio were obtained collectively. The depth corresponding to a dry layer ratio of 100% is the DLOA. Based on this, a quantitative prediction model for the DLOA was finally built. The results indicate that the porosity of the carbonate reservoir, Lower Ordovician in Tazhong area of Tarim Basin, tends to decrease with burial depth, and manifests as an overall low porosity reservoir in deep layer. The critical porosity of the DLOA was 1.8%, which is the critical geological condition corresponding to a 100% dry layer ratio encountered in the reservoir. The depth of the DLOA was 9,000 m. This study provides a new method for DLOA prediction that is beneficial for a deeper understanding of oil accumulation, and is of great importance for scientific guidance on deep oil drilling. (c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
引用
收藏
页码:115 / 124
页数:10
相关论文
共 50 条
  • [41] Impact of formation water on the generation of H2S in condensate reservoirs: a case study from the deep Ordovician in the Tazhong Uplift of the Tarim Basin, NW China
    Jin Su
    Yu Wang
    Xiao-Mei Wang
    Kun He
    Hai-Jun Yang
    Hui-Tong Wang
    Hua-Jian Wang
    Bin Zhang
    Ling Huang
    Na Weng
    Li-Na Bi
    Zhi-Hua Xiao
    Petroleum Science, 2017, 14 (03) : 507 - 519
  • [42] Impact of formation water on the generation of H2S in condensate reservoirs: a case study from the deep Ordovician in the Tazhong Uplift of the Tarim Basin, NW China
    Su, Jin
    Wang, Yu
    Wang, Xiao-Mei
    He, Kun
    Yang, Hai-Jun
    Wang, Hui-Tong
    Wang, Hua-Jian
    Zhang, Bin
    Huang, Ling
    Weng, Na
    Bi, Li-Na
    Xiao, Zhi-Hua
    PETROLEUM SCIENCE, 2017, 14 (03) : 507 - 519
  • [43] Fractal characteristics of pore networks and sealing capacity of Ordovician carbonate cap rocks: A case study based on outcrop analogues from the Tarim Basin, China
    Wu, Jun
    Fan, Tailiang
    Gomez-Rivas, Enrique
    Trave, Anna
    Gao, Zhiqian
    Wang, Shanshan
    Sun, Xiaolong
    AAPG BULLETIN, 2021, 105 (02) : 437 - 479
  • [44] Genesis of dolomite and main controlling factors of reservoir in Penglaiba Formation of Lower Ordovician, Tarim Basin: A case study of Dabantage outcrop in Bachu area
    Zheng JianFeng
    Shen AnJiang
    Qiao ZhanFeng
    Ni XinFeng
    ACTA PETROLOGICA SINICA, 2013, 29 (09) : 3223 - 3232
  • [45] Dynamic simulation of differential accumulation history of deep marine oil and gas in superimposed basin: A case study of Lower Paleozoic petroleum system of Tahe Oilfield, Tarim Basin, NW China
    Li, Bin
    Zhong, Li
    Lyu, Haitao
    Yang, Suju
    Xu, Qinqi
    Zhang, Xin
    Zheng, Binsong
    PETROLEUM EXPLORATION AND DEVELOPMENT, 2024, 51 (05) : 1217 - 1231
  • [47] Hydrocarbon migration and accumulation along the fault intersection zone-a case study on the reef-flat systems of the No.1 slope break zone in the Tazhong area, Tarim Basin
    Xiang Caifu
    Pang Xiongqi
    Yang Wenjing
    Wang Jianzhong
    Li Qiming
    Liu Luofu
    Li Yanqun
    PETROLEUM SCIENCE, 2010, 7 (02) : 211 - 225
  • [48] Hydrothermal dolomite reservoirs in a fault system and the factors controlling reservoir formation-A case study of Lower Paleozoic carbonate reservoirs in the Gucheng area, Tarim Basin
    Guo, Ruixin
    Zhang, Shaonan
    Bai, Xiaoliang
    Wang, Kun
    Sun, Xiaodong
    Liu, Xixiang
    MARINE AND PETROLEUM GEOLOGY, 2020, 120
  • [49] Prediction and effectiveness study of fracture distribution based on an artificial neural network technology and production performance data detection method: a case study of Ordovician carbonate formation in the Tahe oilfield, Tarim Basin
    Ma, Hailong
    Jiang, Lin
    Wang, Zhen
    Wen, Huan
    Zhang, Changjian
    Han, Pengyuan
    Zhang, Ziyou
    PETROLEUM SCIENCE AND TECHNOLOGY, 2024,
  • [50] Characteristics and genetic mechanisms of fault-controlled ultra-deep carbonate reservoirs: A case study of Ordovician reservoirs in the Tabei paleo-uplift, Tarim Basin, western China
    Zhao, Xueqin
    Wu, Changda
    Ma, Bingshan
    Li, Fei
    Xue, Xiaohong
    Lv, Congcong
    Cai, Quan
    JOURNAL OF ASIAN EARTH SCIENCES, 2023, 254