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Subsurface Data access and analytics
Demonstration:
Subsurface data access & analytics
SIRIUS is building on the Ontology based data access technology developed in the EU project Optique to demon- strate how G&G data sources like enterprise databases, application databases , NPD factPages, DISKOS and OSDU can be integrated and developed into digital platforms
for exploration, research and innovation. Once this data is opened up, it needs to be analysed. For this reason, we are also working with image analysis, data science and natural language applications in sub-surface data management.
Subsurface Data Access
SIRIUS is working on a vision of providing a platform for innovation in the sub-surface. A recent book by Andrew McAfee and Erik Brynjolfsson, Machine Platform Crowd traced the role of platforms as enablers for innovation by crowds of workers. We believe that there is a need to open up subsurface data to researchers and innovators to try out their ideas on real data. We also believe that national data repositories, like DISKOS, have the potential to provide such a platform. However, for this to be done, we need to improve access to the data and allow it to be linked with data in other databases. We also need to improve access to unstructured text information in these databases. SIRIUS has several active projects to address the subsurface data access challenges.
Project 1: OBDA Subsurface Pilot
Exploration digital transformation is about overcoming
the bottleneck of data access and increasing the quality of interpretations by means of the better use of data. The data access bottleneck is substantial as up to 70% of exploration experts’ time is spent finding, accessing, integrating, and cleaning data before analysis can even start. (Putting the FOCUS on Data, W3C Workshop on Semantic Web in Oil & Gas Industry, Jim Crompton)
One possible approach to address this challenge is to extend the OBDA (Ontology-based data access) theory and tools to support the data access challenges for the sub-
Adnan Latif
surface data. OBDA was extended in the Optique project to meet the needs
of the oil & gas industry, but the solution has failed to be adopted due to its technological limitations. For example, a significant obstacle is that the current OBDA can only provide access to data stored in databases. This scenario suits the particular use-case used at that time (Slegge data- base) at Equinor (Ontology-
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Based Data Access to Slegge, ISWC 2017). Further, this database is no longer active, and access to that is now restricted for further experimentation.
In 2021, we developed the V1.0 of the OBDA subsurface pilot. This work includes setting up a large relational data- base from the publicly available G&G datasets, mappings, ontology, and integration. This Pilot was demonstrated at the SIRIUS GA in fall 2021. In 2022, we aim to work with SIRIUS partners to evaluate the developed Pilot, both for usefulness and usability and work further on extending the OBDA capabilities based on the feedback.
See more details on this project at page 47.
Project 2: Geo Data Prep
Oil and gas companies are transitioning towards more data-driven decision-within the subsurface domain. By visualizing large volumes of complex data through dash- boards and other forms of business analytics techniques, decision-makers are to make decisions faster and with greater confidence. However, such data-driven decision- making is moot if the time spent preparing subsurface data for analysis and visualization far exceeds the time saved by decision-makers.
This project targets data preparation workflows necessary for dashboarding and business analytics in the subsurface domain. In particular, we target the issue of naming varia- bility in well logs. Naming variability is something geoscientists