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.
Copyright 2017, Shaanxi Petroleum Society.
This paper was prepared for presentation at the 2017 International Field Exploration and Development Conference in Chengdu, China, 21–22 September 2017.
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Zhang, Y.C. (2019). Application of Multiple Linear Regression Equation to Forecast Oil Production in ASP Flooding Area. In: Qu, Z., Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2017. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7560-5_51
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