Volume 41 Issue 4
Jul.  2022
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Zhao Wei, Zhang Wenbiao, Li Meng, Zhao Huawei, Lu Wenming, Lian Peiqing. Updating and application for a reservoir geological model of deep-water turbidites: A case study of a 4D seismic survey from the PU Oilfield in Angola[J]. Bulletin of Geological Science and Technology, 2022, 41(4): 301-308. doi: 10.19509/j.cnki.dzkq.2022.0115
Citation: Zhao Wei, Zhang Wenbiao, Li Meng, Zhao Huawei, Lu Wenming, Lian Peiqing. Updating and application for a reservoir geological model of deep-water turbidites: A case study of a 4D seismic survey from the PU Oilfield in Angola[J]. Bulletin of Geological Science and Technology, 2022, 41(4): 301-308. doi: 10.19509/j.cnki.dzkq.2022.0115

Updating and application for a reservoir geological model of deep-water turbidites: A case study of a 4D seismic survey from the PU Oilfield in Angola

doi: 10.19509/j.cnki.dzkq.2022.0115
  • Received Date: 08 Jan 2021
    Available Online: 07 Sep 2022
  • During traditional updating processes of reservoir models, the final optimal modelis mainly selected referring to the historical matching results from individual drilling wells, as there is a lot of uncertainty in the distribution prediction of remaining oil crosswells. 4D seismic survey is one of the important modern methods for oil reservoir monitoring, and it has a strong advantage forguiding the distribution prediction of remaining oil cross wells. 4D seismic monitoring information is incorporated into conventional updating processes of geological models, to improve the updating accuracy of reservoir geological models. Fluid evolution information provided by 4D seismic surveys lends solid basis for developing an iterative update method with 4D seismic monitoring, geological modelling, and reservoir simulating.Results in this study suggests that ①4D seismic dynamic information can help improve the numerical modelling loops; ②4D seismic surveys can provide important evidence for the cross-well model parameter adjustment, which help promote the quantitative monitoring of remaining oil and improve the accuracy of reservoir model predictions. This method has a good application effect in deep-water turbidite reservoirs and has practical significance for the development of numerical modelling loops.

     

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