首页|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

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

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With continuous hydrocarbon exploration extending to deeper basins,the deepest industrial oil accu-mulation 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 Taz-hong 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 con-dition 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 under-standing of oil accumulation,and is of great importance for scientific guidance on deep oil drilling.

Deep layerTarim BasinHydrocarbon accumulationDepth limit of oil accumulationPrediction model

Wen-Yang Wang、Xiong-Qi Pang、Ya-Ping Wang、Zhang-Xin Chen、Fu-Jie Jiang、Ying Chen

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State Key Laboratory of Lithospheric Evolution,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing,100029,China

State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China

College of Geosciences,China University of Petroleum(Beijing),Beijing 102249,China

Research Institute of Exploration and Development,PetroChina Southwest Oil & Gas Field Company,Chengdu,610041,Sichuan,China

Chemical and Petroleum Engineering,Schulich School of Engineering,University of Calgary,Calgary,T2N 1N4,Canada

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Beijing Nova ProgramOpen Fund Project of State Key Laboratory of Lithospheric Evolution国家自然科学基金国家自然科学基金

Z211100002121136SKL-K202103U19B6003-0242302149

2024

10.1016/j.petsci.2023.11.013

石油科学(英文版)
中国石油大学（北京）

石油科学(英文版)

EI
影响因子：0.88
ISSN：1672-5107
年,卷(期)：2024.21(1)
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