Efficient Data Merging and Quality Analysis of SEG-D Files

With the increasing usage of seismic node instruments, seismic projects often involve the deployment of multiple nodes to acquire data. Consequently, multiple sets of SEG-D raw data are generated, including versions such as Rev2.1 and Rev3.0. However, these data sets differ in header information, such as the total number of traces, sample points, gain, sensitivity, and other parameters, which hinders efficient inspection and quality analysis of the data. Furthermore, existing SEG-D inspection software fails to meet the requirements for data merging. This study examines the composition of the SEG-D file format and highlights the key disparities between SEG-D Rev2 and Rev3. To address these challenges, an object-oriented approach is adopted to design a SEG-D read-write program framework using the.NET Framework. This framework is compatible with the two primary formats of SEG-D Rev2 and SEG-D Rev3. Additionally, a main-sub file data merging algorithm is implemented in the C# language, achieving a merging efficiency of 0.62–0.82 s per thousand traces on a mechanical mobile hard disk. Furthermore, the efficiency of the merging program is analyzed, and suggestions for improvement are proposed. The developed merging program has been successfully employed in multiple seismic acquisition projects, leading to significant enhancements in data quality and efficiency.