| 主权项 |
1. A method of predicting a gas composition, comprising:
(a) receiving a set of input parameters related to a fluid mixture of hydrocarbons and non-hydrocarbons fed into a multistage separator, wherein: the input parameters comprise at least one member selected from the group consisting of a reservoir temperature, a reservoir pressure, a reservoir gas composition, a separator stage temperature and a separator stage pressure, and the non-hydrocarbons comprise at least one member selected from the group consisting of N2, CO2 and H2S; (b) pre-processing the set of input parameters by non-negative matrix factorization, with a processor, to obtain a reduced feature set; (c) providing a training dataset comprising the reduced feature set; (d) randomly selecting a first set percentage of the training dataset; (e) training an extreme learning machine model with the selected first set percentage of the training dataset, with a processor; (f) predicting a mole percentage of the non-hydrocarbons in the fluid mixture; (g) comparing the predicted mole percentage with the set of input parameters, and selecting a second set percentage of badly predicted training datasets based upon a pre-set threshold error value; and (h) repeating (b) through (g) one or more times on the second set percentage of badly predicted training datasets, using one or more factorization levels in the non-negative matrix factorization. |
