LTIMindtree Data & AI GeoProQuik

GeoProQuik solution helps in accelerating the data ingestion process for Microsoft ADME OSDU Data Platform [Microsoft Azure] at O&G Operator, Oil field services (OFS), O&G Data Providers and O&G Product companies. The solution helps to standardize and streamline the quality check processes, workflows, and governance of well and seismic data sets, using effective business rules and advanced analytics in Microsoft ADME OSDU Data Platform [Microsoft Azure]. This is completely customizable as per the user requirements for the data services. The solution helps end users and data managers to efficiently search data using the map-based selection tool as well as keywords and data types. This feature reduces the time required for the data discovery process by more than 50% compared to conventional methods. The solution has an inbuilt pre-ingestion platform for data quality management, which is used for streamlining quality check processes, flagging data inconsistencies, editing and curating data, and finally, preparing the data for ingestion. In addition, the smart data policy manager for entitlements and obligations ensures complete data security during data processing and migration.

GeoProQuik helps Microsoft Azure customers to process multiple subsurface data types like seismic, well, G&G interpretation, and geospatial datasets. The notable features are:

1. Subsurface data QA/QC engine for Microsoft ADME OSDU data platform [Microsoft Azure]
2. Subsurface well and seismic data ingestion to Microsoft ADME OSDU data platform [Microsoft Azure]
3. Data search and retrieval based on keywords or map-based selection
4. Virtual Data Analyst for Microsoft ADME OSDU data platform [Microsoft Azure]
5. User/ACL/Legal tag/Policy management for Microsoft ADME OSDU data platform [Microsoft Azure]
6. Data Management and storage in Microsoft ADME OSDU data platform [Microsoft Azure]
7. Data curation using the data editor
8. Data visualization using Microsoft Power BI [Microsoft Azure]

Following activities will be performed during the PoC.

Pre-Assessment & Infrastructure Setup Project kick off Team onboarding and infrastructure deployment OSDU deployment strategy finalisation

Subsurface application and data discovery phase Data and application landscape analysis with SME / Stakeholder Application and data summary and business use case summary report preparation

Deployment of OSDU Data Platform in Microsoft ADME environment Create subscription for Microsoft ADME (OSDU Data Platform) Pre-requisites and checklist activities (e.g. local environment required software setup) Central/common resources setup Deploy services (In Kubernetes cluster) DNS & security setup Verification & validation of deployed OSDU R3 instance Seismic storage infrastructure Support to data migration team

Sample Data Migration and Validation

Stage 1 Validation: Ingest OSDU forum provided sample data sets

Stage 2 Validation: Using client’s sample data

• Preparation of datasets (Well, well log) – Metadata Model + QC • Preparation of manifest files • Ingestion of data into OSDU data platform using LTIMindtree’s GeoProQuik solution • E & O services test cases : User / Data / Service Groups • Data Search, Visualization, Integration from OSDU data platform