Data Integration & Management Service Platform
Data is scattered across multiple systems and databases, each managed with different standards.
Lack of tools to visualize and present the overview of oilfield data assets, making it hard to assess their status.
Oilfield personnel lacks fast and accurate data query tools.
A unified data service model hasn’t been formed.
No unified definition or standardized tools for the acquisition of data at the source.
No tools to detect the faulty data in real time operation, leading to delayed incidents discovery.
Business and data relationships are poorly managed, leaving data weakly linked to workflows.
Establish unified business identifiers, data classification, hierarchy, naming, and tagging systems to ensure consistency and efficient data flow across departments and systems.
Build end-to-end business, standard, and master data models to deeply integrate data with business processes.
Provide a full lifecycle governance system from data capture, aggregation, and extraction to quality and access control, ensuring authenticity, completeness, and security.
Monitor statistics and quality of all data types, enabling visualized management of enterprise-wide data assets and clarity on their value and usage.
Deliver monitoring, access control, and business support functions to ensure long-term stability of the governance framework.
Empower users with intelligent search, knowledge graphs, and proactive delivery to quickly access the data they need and maximize efficiency.
| Core Role | Core Problem Addressed | Corresponding Core Capabilities |
| Data Operating System | Enable data to be dynamically organized, continuously supplied, and uniformly served based on business logic. | Unify data integration and access, intelligent search and push, unified API services, and data service monitoring. |
| Data Governance Platform | Ensure unified data standards, controllable quality, traceable processes, and visible assets. | Business-driven modeling and standard management, integrated historical data governance, source-level governance for new data, closed-loop data quality management, and panoramic data asset view. |
| Business Collaboration Foundation | Enable cross-disciplinary teams to collaborate around a unified data context. | Project-level data space, automatic accumulation of process deliverables, professional software data integration, and one-click deliverable publishing. |
| Intelligent Application Foundation | Provide unified semantics, high-quality datasets, and explainability for AI models. | Unify business semantics, high-quality training datasets, knowledge graphs, intelligent data Q&A and report generation, and domestic computing power adaptation. |
Based on business-node models, establish unified data standards specification covering the entire exploration and development business process.
Combine intelligent search, knowledge graphs, natural language Q&A, and proactive delivery to make data access effortless and intuitive.
A multi-dimensional validation system covering consistency, accuracy, and compliance ensures trusted, high-quality data at scale.
A unified capture mechanism ensures every dataset has a single trusted origin-collected once, available everywhere.
Convert raw data into immediately usable business assets like professional maps and reports, boosting practical value.
An industry-first approach that anticipates business needs, pushing the right data to the right users, eliminating search time entirely.
Link users, data, and applications through business-point models, breaking barriers and enabling true business-driven data use.
The industry’s only solution to seamlessly manage structured, unstructured, and seismic data in a single, integrated environment.
Challenges
Solution
Challenges
Solution
Challenges
Solution
Development and production-related systems
Core business databases
Development and production datasets
Total data volume
600 Million Records
512 Million Records
14,085 Rules
1,905 Functions
About Us
