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Application of Multiple Linear Regression Equation to Forecast Oil Production in ASP Flooding Area

  • Yan Cui Zhang
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)

Abstract

As the polymer flooding technology of X oil field comes to the process of sequent waterflooding, Asp flooding technology has been widely concerned. After 20 years’ research, research findings have been promoted to industrial application sting. Practice shows that ultra-low interfacial tension of orders of magnitude formed by Asp flooding technology and X crude oil has a better oil displacement efficiency, which improves the recovery ratio more than 18 percentages than waterflooding. In the designing of the scheme of Asp flooding, efficiency and accuracy to predict the development index during the process of Asp flooding can ultimately reduce the influence to dynamic management and ground, which caused by change of infectivity and productivity. In the passage, by combining ASP displacement characteristic curve method with experience regression methods, the author derives oil production forecasting formulas of different stages in ASP flooding and simplifies ASP flooding scheme design process. This forecasting formula provides theoretical basis and technical support for keeping oil field production.

Keywords

Asp flooding Multiple linear regressions Polymer volume Oil production Displacement characteristics 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.No. 3 Oil Production Plant of Daqing, Oilfield Company Ltd.DaqingChina

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