Effective Subsurface Data and Application Support for Optimal Reservoir Exploitation and Development

Abstract

Integrating skills and technologies in a multi-vendor software environment to reduce reservoir description discrepancies and enhance hydrocarbon productivity is complex. Effective subsurface data and application support is a recommended platform, to guide an asset team in resolving this complexities. Though, data varies in size, format and quality, reliable data must be made easily available to professionals for decision making. This research analyses the dynamics of subsurface tools, analyst value migration, competencies, data policies and routine application support practices required to cumulatively reduce cost, providing better and timely delivery in reservoir description. Approaches are reviewed and tactically outlined to measure data value, current capability and develop performance evaluation checklist for incorporating learns into strategic data support service plan to optimize hydrocarbon reservoir exploration, development and management.

Keywords: Reservoir, data, tools, process, people, compliance, optimization, management