Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (5): 1321-1331.doi: 10.13278/j.cnki.jjuese.201605105

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Controlling Factors Analysis and Quantitative Model of Shahejie 3rd Sandstone Porosity in Linnan Sag

Qiu Longwei1, Shi Zheng1,2, Fu Dawei3, Pan Zehao4, Yang Shengchao1, Qu Changsheng1   

  1. 1. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China;
    2. Wuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi 214126, Jiangsu, China;
    3. Zhanjiang Branch of China National Offshore Oil Limited Corporation, Zhanjiang 524057, Guangdong, China;
    4. Geological Scientific Research Institute of Sinopec Shengli Oilfield Company, Dongying 257015, Shandong, China
  • Received:2015-10-18 Online:2016-09-26 Published:2016-09-26
  • Supported by:

    Supported by Major National Oil and Gas Projects(2011ZX05009-002);Fundamental Research Funds for the Central Universities(14CX06068A)

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Abstract:

Based on the data of physical properties anaylsis, thin sections identification, scanning electron microscope and digital image anaylsis,the authors studied the controlling factors of Shahejiie 3rd sandstone porosity in Linnan sag.And then using the method of grey incidence,the authors quantified the impact of different factors and established a comprehensive porosity prediction model.Studies have shown that the controlling factors of Shahejiie 3rd sandstone porosity in Linnan sag include sedimentation related granularity factors and selection factors as well as diagenesis related compaction factors, cementation factors and corrosion factors. Under specific compaction condition, the porosity varies with the burial depth, the granularity and the sorting. The coarser granularity is,the higher porosity is. The porosity varies much among different selected areas. Carbonatite is the main cementation type, which has unconspicuous influence on porosity when its content is less than 5%. Feldspar erosion is the main dissolution type. The grey incidence analysis made it possible to quantify the impact of various factors on reservoir porosity,and then establish the prediction model,with the assumption of that, the present porosity is the combination of normal compaction porosity and the contribution of diagenesis. After verification of 17 groups data,the accuracy of prediction method is 90.5%.

Key words: Linnan sag, reservoir property, grey incidence, porosity prediction

CLC Number: 

  • TE122

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