Prediction Method of the Low Permeability Sandy-conglomerate “Sweet Point” Reservoirs and its Application:A Case Study of Mahu Depression Northern Slope Area in the Junggar Basin

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  • (1.Research Institute of Petroleum Exploration and Development-Northwest,PetroChina,Lanzhou 730020,China;
    2.Xinjiang Oilfield Company,PetroChina,Karamay 834000,China)

Received date: 2015-05-20

  Revised date: 2015-08-20

  Online published: 2015-09-20

Abstract

In recent years,oil and gas exploration has achieved an important breakthrough of the Triassic Baikouquan Formation in the Mahu Depression northern slope area in the Junggar Basin.The reservoir is characterized by low porosity and low permeability sandy-conglomerate reservoir and develops “sweet point” in local areas.The seismic response difference between the “sweet point” and “non-sweet point” is small and it is difficult to predict.So,based on the analysis of the reservoir genesis,“face belts-water courses-physical porosities-factures” gradual controlled methods were used to predict the distribution of “sweet point” reservoirs.Firstly,we got chronohorizon by high resolution sequence stratigraphy technology,reconstructed the paleogeomorphic and described the boundary of facies-belt.Secondly,we predicted the distribution of sandstone in main channels by the analysis of seismic attributes based on forward modeling.Thirdly,we predicted the distribution of porosity by the ray elastic impedance inversion based on CRP gather optimization process.Finally,we predicted the fracture distribution by high-resolution coherence method.After exploration practices,these methods can reduce the multiple solutions of “sweet point” reservoir prediction,so it can be used in other areas as well.

Cite this article

XU Duo-nian,YIN Lu,QU Jian-hua,WANG Bin,ZHANG Lei,QU Yong-qiang,CHEN Xue-zhen . Prediction Method of the Low Permeability Sandy-conglomerate “Sweet Point” Reservoirs and its Application:A Case Study of Mahu Depression Northern Slope Area in the Junggar Basin[J]. Natural Gas Geoscience, 2015 , 26(S1) : 154 -161 . DOI: 10.11764/j.issn.1672-1926.2015.S1.0154

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