Natural Gas Prediction using the Group Method of Data Handling

J.C. Howland III and M.S. Voss (USA)


Natural Gas Prediction, GMDH, Inductive Learning


The flow of natural gas from a system of wells is a highly nonlinear process. In this paper we are taking a time se ries approach to the prediction of natural gas. In particular, the Group Method of Data Handling (GMDH) is employed to develop a nonlinear polynomial time series model for a small natural gas collection system.

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