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Prediction And Optimization On Petroleum Production

Posted on:2012-07-28Degree:MasterType:Thesis
Country:ChinaCandidate:G L LiFull Text:PDF
GTID:2189330335997904Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
This paper is based on the research on the prediction of petroleum production. Firstly, we use Grey Model to simulate and predict petroleum production on the knowledge of 10-year original data. We utilize scattered data fitting to obtain pro-duction functions, and then we build optimization models using these functions to optimize petroleum production.We will deal with this problem without restricted conditions since we can't get restrict conditions from the original data, and try Rotation Axis Method and Newton Method to solve this problem. When the point in those methods reaches a balanced point but not a minimum point, we will give a descended direction to get a minimum point of this problem. Thus we can optimize all the petroleum production well.
Keywords/Search Tags:Optimization, Grey Model, Prediction, Rotation axis method, Newton method, Eigenvalue, Eigenvector
PDF Full Text Request
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