VIRTUAL DATABASE OPTIMISATION - MID-SIZE E&P
The client acquired a portfolio of mature E&P assets, which were historically managed by several operators with diverse work practice and different languages including Kazak, Russian, Mandarin and English. Over 280,000 legacy data files from six fields were scattered in different data silos and geographic locations with extensive file duplication (>50%) and incomplete geo-referenced technical data such as seismic and well data.
HDS was contracted to support the data reconciliation, consolidation and conditioning into one database that could be securely accessed by multiple teams locally and remotely. The company was also required to provide ongoing data management services integrating new data with legacy data.
Approach & Value Added
HDS used its GeoSCOPE software with its data mining and analytics capability to crawl and auto translate file names into English while still preserving the original descriptions.
Cluster analysis was used to improve indexing, locate duplicate files and identify data gaps that were subsequently repaired by digitising analogue data.
Composite log data which was initially present over only 20% of the well (typically the reservoir) increased to 80% after database integrity improvements, leading to significantly improved geo-modelling and seismic interpretation capability.
Data was indexed and classified against the original and new operator taxonomies without the need for data duplication in new folder systems.
The newly organised database was made available to the client and remote consulting teams via a server / cloud-based solution.
Improved database integrity and indexing improved estimated search and retrieval times by > 80%
HDS continually uses GeoSCOPE for the on-going data management service