Recognition of Oil Content for Oil Shale by Electronic Nose Based on Transient and Steady-State Fusion Feature Extraction Method

The evaluation of oil shale is significant to oil and gas exploration. Electronic nose (E-nose) has excellent odor recognition characteristics and can be used as a potential tool for oil content recognition. In this article, the odor samples of Huadian and Wangqing oil shale with different oil contents were obtained, and the recognition ability and feasibility of E-nose on oil content were investigated for the first time. More comprehensive information of oil shale was obtained by using transient and steady-state fusion feature (TAS) extraction method, which improves the recognition rate, and the influence of feature extraction methods and temperatures on oil content recognition were further discussed. The experimental results show that the E-nose combined with the proposed feature extraction method can realize the rapid in situ recognition of oil content at low temperatures. This work will help to propose more effective methods for the evaluation and development of oil shale.