Oil & Gas Geology ›› 2009, Vol. 30 ›› Issue (2): 240-244.doi: 10.11743/ogg20090217

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Lithology prediction of thin reservoirs based on deterministic and stochastic models

Li Jun1, Xiong Liping1, Zhao Weiyong2, Liu Jian3   

  1. 1. SINOPEC Exploration & Production Research Institute, Beijing 100083, China;
    2. Exploration and Development Research Institute of PetroChina Qinghai Oilfield, Dunhuang, Gansu 736202, China;
    3. Institute of Geology, Binnan Oil Production Plant of SINOPEC Shengli Oilfield Company, Binzhou, Shandong 25660, China
  • Received:2008-12-12 Online:2009-04-25 Published:2012-01-16

Abstract:

The delta front is always one of the focuses for oil and gas exploration.However,reservoirs in delta front commonly occur as thin sandstone layers,which cannot be recognized accurately for the low resolution of seismic inversion,hence the distribution pattern of sandbodies could not be accurately predicted,leading to the difficulties for exploration and production.Taking advantage of various reservoir modeling techniques,this paper puts forward a new methodology of joint deterministic-stochastic modeling for lithology prediction of thin reservoirs in delta front areas.It first obtains acoustic impedance through deterministic modeling,and then predicts distribution of thin reservoirs through stochastic modeling.The specific methods used are joint seismic-log inversion and Markov chain modeling.Case study in the Y block of the northern Songliao Basin shows that more accurate prediction of thin sand layers could be achieved.

Key words: lithology prediction, thin sand layer, deterministic modeling, stochastic modeling, Songliao Basin

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