Logistics and planning play an ever more important role in determining the efficiency and profitability of a seismic<br>operation as surveys continue to grow in size and complexity. The seismic metadata (information describing the seismic<br>data) associated with these surveys is increasing at an even greater rate, yet is still stored in disparate locations such as<br>trace headers, coordinate files, paper and electronic observer logs, ledgers, maps and various spreadsheets and<br>databases. Efficient management, analysis and archival of metadata is both fundamental to acquisition logistics and<br>quality control, and prevents 'metadata smear' associated with grouping temporally or spatially varying information during<br>data processing. Furthermore, with the recent increase in popularity of time lapse seismic, the archived metadata from<br>one survey becomes the pre-plan information for a repeat seismic survey, and it is consequently more important than<br>ever that it be efficiently gathered, stored, analysed and archived.<br>By combining previously autonomous metadata sources with GIS layers (such s digital orthophotos and CAD files of<br>pipelines or wells) into a single data warehouse, real inter-dependencies can be established through spatial, attribute,<br>and temporal analysis, and proper cause and effect examination performed.<br>This paper present the issues critical to building such a system will look at one particular implementation and will<br>examine case studies illustrating some of the benefits that can be derived therefrom.


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