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Prediction and Optimization on Petroleum Production

Author: LiGuangLian
Tutor: CaiZhiJie
School: Fudan University
Course: Applied Mathematics
Keywords: Optimization Grey Model Prediction Rotation axis method Newton method Eigenvalue Eigenvector
CLC: F224
Type: Master's thesis
Year: 2011
Downloads: 66
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Abstract


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.

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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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