Application of Multivariate Regression Method in the Prediction of Oilfield Development Indexes

Abstract:

Currently most of our oil fields have entered the extra high water cut stage. Accurate prediction of field development dynamic is the foundation of the reasonable, efficient, sustainable oil field development. Prediction of oilfield development index have varieties of methods ,including the law of diminishing water flooding Union law solution, yield component method, multiple regression and so on. In this paper, we take xingnan development zone eight to twelve district extension well network development index prediction as an example, introduces the application of multiple regression method in the prediction of reservoir indicator.

• Periodical: Advanced Materials Research (Volumes 1010-1012)
• Pages: 1643-1649
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.1643
• Online since: August 2014
• Authors: Qi Li, Ming Qin, Hong Bo Wang, Ji Cheng Zhang
• Keywords: Variable Multiple Regression Forecast

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