西南石油大学学报(自然科学版)

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Study on The Prediction Model of Oil Testing Formation#br# Non-linear Productivity

Zhang Minglu1,2, Zhang Jianguo2, Wang Bencheng3,4*, He Lei2, Ai Qinlin2   

  1. 1. National Engineering Laboratory of Low Permeability Oil-gas Reservoir Exploitation,Changqing Oilfield,Xi′ an,Shaanxi 710000
    2. ChangQing Oil Field Filiale,Petrochina,Xi′ an,Shaanxi 710000,China
    3. Post-Doctoral Scientific Research Station,Southwest Oil & Gas Branch Company,SINOPEC,Chengdu,Sichuan 610041,China
    4. Exploration & Production Research Institute,Southwest Oil & Gas Branch Company,SINOPEC,Chengdu,Sichuan 610041,China
  • Online:2015-12-01 Published:2015-12-01

Abstract:

The accurate productivity prediction is an important research task in the process of exploration and development of
oil filed. However,conventional prediction methods are inapplicable for the early stage of oil development. There is a certain
correlation between oil-test formation production and all related factors in the same exploration blocks. A nonlinear regression
model between the production and all static or dynamic parameters is established,which is used as a new independent variable
to start multiple linear regression. Finally a non-linear regression model used for the prediction of oil-test formation production
is obtained. Nonlinear model is more accurate in prediction and more applicable compared with multivariate linear models. It
provides scientific guidance for deciding the oil-test formation reconstruct method in the exploration block and increases the
economic benefits of oil testing.

Key words: exploration and oil-test, oil-test formation, productivity prediction, multiple regression, nonlinear regression

CLC Number: