Lithologic Reservoirs ›› 2019, Vol. 31 ›› Issue (6): 95-101.doi: 10.12108/yxyqc.20190610

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

A set of recognition techniques for thin reservoirs with unconsolidated high-argillaceous sandstone: a case study from X oilfield in Pearl River Mouth Basin

LUO Ze, XIE Mingying, TU Zhiyong, WEI Xihui, CHEN Yiming   

  1. Research Institute, Shenzhen Branch of CNOOC Ltd., Shenzhen 518000, Guangdong, China
  • Received:2019-05-20 Revised:2019-08-20 Online:2019-11-21 Published:2019-09-28

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Abstract: Aiming at the problems of poor quality of logging curves,serious overlapping of wave impedance attributes,thin reservoir and strong heterogeneity caused by serious expansion of unconsolidated high-argillaceous sandstone of Hanjiang Formation in X oilfield,Pearl River Mouth Basin,a fine characterization technology for thin reservoir was formed,which is summarized as "three-step method".(1)The elastic curve reflecting real formation characteristics can be obtained by reconstructing logging curves with genetic neural network technology,and then the problem of poor quality of logging curves caused by the serious expansion of unconsolidated sandstone can be solved.(2)A new sensitive characteristic parameter DVT for the identification of thin reservoirs with unconsolidated high-argillaceous sandstone was constructed to distinguish sandstone from mudstone.(3)High resolution inversion method with waveform indication was used to predict the spatial distribution of thin reservoirs with unconsolidated high-argillaceous sandstone. Practical application shows that this technology achieved good application results in water injection efficiency,optimization implementation of adjustment wells and well pattern design of development adjustment scheme in X oilfield. A complete set of technical process has been formed for the prediction of thin reservoir with unconsolidated high-argillaceous sandstone,which solves the difficulty of accurate description of 3-5 m thin reservoir in the oilfield. This technology has reference significance for the characterization of similar reservoirs and the efficient development of oilfields.

Key words: unconsolidated high-argillaceous sandstone, neural network, waveform indication inversion, thin reservoir prediction, Hanjiang Formation, Pearl River Mouth Basin

CLC Number: 

  • TE122.2
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