Comprehensive Research

A new model to predict bubble point pressure: Its establishment and application in Tarim Oildom

  • Jiaying WANG ,
  • Renbao ZHAO ,
  • Shuxuan LI ,
  • Yu JIA ,
  • Ning FU ,
  • Shuangyu QI
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  • 1. China University of Petroleum(Beijing), Beijing 102249, China
    2. Southwest Petroleum University, Chengdu, Sichuan 610500, China
    3. CCDC Changqing Downhole Technology Company, PetroChina, Xi’an, Shaanxi 710018, China
    4. Research Institute of Exploration and Development, PetroChina Dagang Oilfield Company, Tianjin 300280, China

Received date: 2021-07-28

  Online published: 2022-12-02

Abstract

Bubble point pressure(pb) is an essential parameter for determining reservoir type, formulating reservoir development scheme and reservoir engineering calculation. It is also the basis for calculating oilfield reserves and selecting oil well working system. In order to conveniently and rapidly predict the bubble point pressure value of reservoir fluid, the empirical model for determining the bubble point pressure value of deep complex reservoir fluid is described based on a large number of PVT high-pressure physical property test data. And the main controlling factors affecting the bubble point pressure of oil in deep complex reservoir of Tarim oildom are analyzed and determined. Meanwhile, A model for rapid prediction of reservoir fluid bubble point pressure is established. Based on 132 groups of sample data in Tarim oil area, the regression analysis is carried out by using digital simulation software, and the values of 10 influencing factors and related parameters of the new bubble point pressure model are obtained. It is verified by the supplementary PVT experimental data of 10 subsequent formation fluid samples. Compared with the existing empirical formula, the prediction model has better prediction effect.

Cite this article

Jiaying WANG , Renbao ZHAO , Shuxuan LI , Yu JIA , Ning FU , Shuangyu QI . A new model to predict bubble point pressure: Its establishment and application in Tarim Oildom[J]. Petroleum Reservoir Evaluation and Development, 2022 , 12(6) : 927 -934 . DOI: 10.13809/j.cnki.cn32-1825/te.2022.06.012

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