Oil & Gas Geology ›› 2004, Vol. 25 ›› Issue (4): 370-376.doi: 10.11743/ogg20040403

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Prediction method and its preliminary application in predicting resource potentials of subtle oil/gas reservoirs

Pang Xiongqi1,2, Chen Dongxia1,2, Li Pilong3, Jiang Zhenxue1,2, Haofang1   

  1. 1. Key Laboratory for Petroleum Accumulation Mechanism, University of Petroleum, Beijing;
    2. Basin & Reservoir Research Center, University of Petroleum, Beijing;
    3. Shengli Oilfield Co. Ltd., SINOPEC, Dongying, Shandong
  • Received:2004-01-12 Online:2004-08-25 Published:2012-01-16

Abstract:

As formation, evolution and genetic mechanism of subtle oil/gas reservoirs are very complicated, various methods, such as discovery process model inversion, theoretical forward computation of hydrocarbon accumulation threshold and comprehensive prediction method, should be comprehensively used, so as to increase the reliability of potential evaluation and provide scientific basis for high level decision-makers. These methods are used to predict the potentials of subtle reservoirs in Jiyang depression. The prediction results show that there are still more than 2.024 billion tons reserves to be discovered in subtle reservoirs in the depression, which account for over 75% of the remaining provable reserves. The undiscovered possible reserves in subtle reservoirs in Dongying, Zhanhua, Chezhen and Huimin sags are 783 million tons, 353 million tons, 378 million tons and 352 million tons respectively. Laterally, subtle oil/gas reservoirs are mainly distributed in the reservoiring systems having relatively high abundance of reserves and relatively low proved reserves. Vertically, although the 4th member of Shahejie Formation and the targets above it have highly been explored, they are still the key horizons for discovering new reserves in subtle reservoirs. Lithologic lenticular reservoir, unconformity-screened reservoir and buried hill reservoir are the main types of subtle reservoirs to be explored in the future.

Key words: subtle oil/gas reservoir, resource evaluation, Jiyang depression, hydrocarbon accumulation threshold

CLC Number: