Research on IIVIFM Model for Batch Processing of Fiber Optic Logging Data

Fiber optic can not only be used as a data transmission device, but also as a signal acquisition device. Research on fiber optic data acquisition for temperature and sound signals (DTS&DAS) has been widely carried out both domestically and internationally, but it has been hindered by numerous interference signals, massive data volume, and slow signal processing speed, which have become a bottleneck in the application of fiber optic DTS&DAS. The article proposes an integrated batch processing oriented big data retrieval and filtering model, IIVIFM, for the first time to address the difficult problem of fiber optic DTS&DAS big data processing in the development process of oil and gas fields. This model achieves batch processing of DTS&DAS data and can effectively filter the data. Finally, through software programming, this method was implemented, enabling it to be widely promoted and applied, providing a new approach for oil and gas data analysis.