China Petroleum Exploration ›› 2019, Vol. 24 ›› Issue (2): 153-164.DOI: 10.3969/j.issn.1672-7703.2019.02.003

• EXPLORATION CASES • Previous Articles     Next Articles

Formation and distribution of marine-continental transitional lithologic reservoirs in Pingbei slope belt, Xihu sag, East China Sea Shelf Basin

Zhou Xinhuai, Gao Shunli, Gao Weizhong, Li Ning   

  1. Shanghai Branch, CNOOC(China) Limited
  • Received:2019-01-25 Revised:2019-03-01 Online:2019-03-15 Published:2019-03-15
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Abstract: With the deepening geological knowledge and the advancing exploration techniques, the exploration in Pingbei slope belt, Xihu sag of the East China Sea Shelf Basin, is shifting from structural reservoirs to lithologic reservoirs. According to the systematic analysis of transitional deposits, Pingbei slope belt is believed having four sequence stratigraphic styles, i.e., fault-slope, opposite fault terrace, antithetic fault terrace, and concordant fault terrace, which correspond to four types of sandstone reservoirs (fault-slope tide-dominated delta tidal channel, opposite fault terrace tide-dominated delta front tidal flat, antithetic fault terrace river-dominated delta front channel, and concordant fault terrace river-dominated delta front channel). Based on the sand body distribution and hydrocarbon accumulation models predicted, the formation conditions and distribution rules of lithologic reservoirs in different plays of Pingbei slope belt were identified. It is finally indicated that the sandstone reservoir of fault-slope tide-dominated delta tidal channel in Tuanjieting area and the sandstone of concordant fault terrace river-dominated delta front channel in Qongqueting area are primary exploration targets. Following the model of lithologic reservoirs, significant breakthrough has been made during drilling lithologic traps in Block Ningbo 19 controlled by Baoyunting low uplift and the antithetic fault terrace belt.

 

Key words: Pingbei slope belt, marine-continental transitional, lithologic reservoir, formation conditions, distribution prediction

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