17.2.2 Challenges of DAS

The challenge for DAS is how to manage the huge volumes of data produced, which is typically terabytes for raw data and tens of gigabytes for frequency filtered data. Because of the large data volumes and lack of standards, industry workers spend a lot of time manually reformatting data, which is costly and error prone. These challenges hamper uptake of the commercial DAS applications and development of new DAS applications.

For these reasons, a group of operators and service providers proposed to Energistics to define a shared industry exchange format for DAS data types. Previous work at Energistics has been done for distributed temperature sensing (DTS). Because of the similarities, the DAS design work is based on the DTS design.