The Importance of Collaboration, Integration, and Relational Database Management for Vast Corporate Data: A Case Study in Indonesian National Oil Company. SPE 182299 By Nora Desiani, Nur Alam, and Freddy Yulisasongko, Pertamina Hulu Energi, Adeline Susanto, Andrean Satria, and Ade Veria Octora, Halliburton, 13 Oct 2016

The asset management of an Indonesia’s national oil company has become complex and challenging because every field acquisition and takeover becomes its new asset (subsidiary). Challenges, such as standard corporate database (e.g. cataloguing), seamless workflow in retrieving massive data, data retention ability, and cartographic reprojection lead to a need for data management optimization and integration, which must be securely and reliably managed.

Smart vision methodology migrates architecture from an existing system to a new integrated system. Workflow consists of steps designed to gather information, engage the customer in a collaborative manner, and assemble opportunities into an orderly plan that has strategic alignment and cost benefit justifications for each case. The approach used by the company refers to professional petroleum data management (PPDM) data model, which puts collaboration, integration, and relational database management forward. Deployment of this model results in standardization of corporate database. Previous different data configurations will then have a standard cataloguing system, which results in consistent data retrieval.

Smart vision methodology is applied to capture and study the company’s existing architecture. A major finding is tremendous data from each of its subsidiary has its own standards and contains structured and unstructured data, which makes it troublesome for analysis to further determine best business decision. History data, data retention, and data permission management are very arduous and implausible. Distortion of cartographic projection data makes the data itself nonscalable. To overcome these challenges, PPDM data model is deployed. Data mapping is performed on 18 the NOC’s subsidiaries’ data. Company preference, policies, and regulations are standardized at corporate level. As a result, an integrated database is being established. Corporate can see all assets in a single project database, which allows further technical analysis and eliminates data duplication problems, making the data manager easy to manage. From user management’s point of view, the presence of the interpreter source priority (ISP) concept allows user collaboration without disrupting either corporate data or other user’s interpretation. Another result is user ability to track historical data. This is important for corporate; thereby, users can access not only interpretations results but also other users’ knowledge content.

The deployment of this model gives ability to manage all the seismic, well, and interpretation-related data into one consolidated project regionally in scalable geographical area and complexity. This allows the company to perform various analytics process related to all data owned by the company.