Managing the three Ps of seismic data: proliferation, pervasiveness, and persistence

Abstract

The use of large three-dimensional seismic datasets in oil and gas exploration puts enormous strain on data storage systems and strategies. The purpose of this study was to determine the factors that contribute to challenges in storage of large seismic datasets, to collect information about strategies being successfully implemented to meet these challenges at large international oil and gas companies, and to document best practices and procedures for planning for continuing expansion of these datasets. Schlumberger Information Solutions (SIS), as a division of the world?s largest provider of services to the oil and gas industry, is in a unique position to collect this information. SIS currently has seismic data management implementations with over 50 organizations in all major oil and gas exploration locations across the world. These engagements have produced a set of strategies for managing large seismic datasets that include hierarchical storage management (HSM), near line tape robotic systems, and web-based Geographic Information System (GIS) metadata analysis tools. Effective implementation of these strategies allows major exploration organizations to effectively manage and plan for continued growth and propagation of seismic data across the life cycle of their exploration and production projects.