Journal of Jilin University(Earth Science Edition) ›› 2024, Vol. 54 ›› Issue (2): 461-469.doi: 10.13278/j.cnki.jjuese.20220220

Previous Articles     Next Articles

Prediction Method of Hydrocarbon Migration and Accumulation Space Distribution Positions in Different Layers Controlled by Oil Source Faults and Its Application

Xu Fengming   

  1. Exploration Department of Daqing Oilfield Company Ltd., Daqing163453,  Heilongjiang, China
  • Online:2024-03-26 Published:2024-04-09
  • Supported by:
    Supported by the Natural Science Foundation of Heilongjiang Province of China (LH2022D013, LH2023D005), the Natural Science Foundation of Central Support Project for Young Talents in Local Universities in Heilongjiang Province (14011202101)  and the Key Research and Development Program of Heilongjiang Province (JD22A022)

Abstract: In order to study the distribution law of oil and gas near oil source faults in petroliferous basins, based on the study of spatial distribution of oil and gas migration and accumulation in different layers controlled by oil source faults, through the oil source faults transporting favorable positions of oil and gas in the lower reservoir, the spatial distribution position of oil and gas migration and accumulation between source rock and lower cap rock controlled by oil source faults is determined. The spatial distribution of hydrocarbon migration and accumulation between source rock and middle cap rock controlled by oil source faults is determined through the oil source faults transporting favorable parts of oil and gas in the lower reservoir and the leakage parts of regional mudstone caprock in the lower reservoir. The spatial distribution of oil and gas migration and accumulation from the source rock to the upper cap rock controlled by oil source faults is determined by the oil source fault in the favorable part of oil and gas transmission in the lower reservoir and the leakage parts of the lower and central regional mudstone cap rocks. A prediction methods of hydrocarbon migration and accumulation space distribution positions in different layers controlled by oil source faults was established by the combination of the three. The results show that, except the western end, the rest parts are the spatial distribution parts of oil and gas migration and accumulation from the source rock of the Es3 Formation to the caprock of the Es1z Formation controlled by Gangdong fault. The spatial distribution of hydrocarbon migration and accumulation in the source rock of the Es3 Formation and the caprock of the Ed2 Formation, which are controlled by Gangdong fault, are distributed in its middle part, the former is slightly larger than the latter. These position are respectively beneficial to oil and gas generated by the source rock of the Es3 Formation migration and accumulation to the reservoirs under the regional mudstone caprock of the Es1z Formation, the Ed2 Formation and Nm Formation near Gangdong fault, it is consistent with the oil and gas distribution found in the reservoirs under the regional mudstone caprock of the Es1z Formation, the Ed2 Formation and Nm Formation near Gangdong fault at present, indicating that the method is feasible to predict the hydrocarbon migration and accumulation space distribution positions in different layers controlled by oil source faults.

Key words: oil source fault, hydrocarbon migration and accumulation space, distribution position, prediction method;Qikou depression

CLC Number: 

  • TE132
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] You Minxin,Liu Jianmin. Application Status and Progress of Isotopic Geochemistry in Research of Emeishan Large Igneous Province (ELIP)[J]. Journal of Jilin University(Earth Science Edition), 2014, 44(4): 1231 -1243 .
[2] YANG Chun-mei, LI Hong-qi,LU Da-wei,ZHANG Fang-li,GAO Yuan,SHAO Ying-chao. The Relationship Between Rock Resistivity and Water Saturation in WaterDriveOil and OilDriveWater Process[J]. J4, 2005, 35(05): 667 -671 .
[3] ZHU Hong-chen,ZHANG Jiong-fei,QUAN Heng. Two Stages of Mesozoic Lithogenesis and Mineralization in Daxing’anling Mountains[J]. J4, 2005, 35(04): 436 -0442 .
[4] ZHU Jian-wei, ZHAO Gang, LIU Bo, GUO Wei, CHENG Jun. Identification Technology and It’s Application of Well-Logging About Oil Shale[J]. J4, 2012, 42(2): 289 -295 .
[5] CHEN Li, LIANG Hai-an,ZHANG Wen-juan,RONG Fan. Application of Fuzzy Mathematics in Division of Engineering Geo-Environment of Cities-An Example of Fushun City[J]. J4, 2008, 38(5): 837 -0840 .
[6] GAO Gui-mei,SU Ke,WANG Wen-ying,GAN Shu-cai,LIU Zhao-jun. Study on Rare Earth and Trace Elements in Oil Shale Samples, Huadian, Jilin Province[J]. J4, 2006, 36(6): 974 -0979 .
[7] WU Kong-yun,JIANG Zhong-cheng,YE Ye. Influence of Different Plant Communities On Erosion Rates of Limestone Rock Blocks[J]. J4, 2007, 37(5): 967 -0971 .
[8] ZHOU Yan-zhang, CHI Bao-ming, LIU Zhong-pei. Mode of Structural Control about Groundwater Pour-in Mechanism in Xiadian Gold Deposits in Shandong Province[J]. J4, 2008, 38(2): 255 -0260 .
[9] ZHANG Yuan, LIU Lian-deng,SUN Jing-gui,CHEN Guo-hua,ZHANG Hong-xi,YAN Fu-chuan, YANG Kai-chun. Two Phase Overprinting Mineralization in Huangbuling Gold Deposit in Northwestern Jiaodong Peninsula[J]. J4, 2008, 38(1): 21 -0026 .
[10] LU Cheng-peng, SHU Long-cang, YUAN Li-bo, ZHANG Rong-rong, HUANG Bi-juan, WANG Bin-bin. Determination of Hydrogeologic Parameters of Karst Aquifer Based on Tracer Test[J]. J4, 2009, 39(4): 717 -721 .