Meta DB
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MetaDB
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MetaDB

AI-Powered Subsurface Metadata Intelligence

In today’s upstream oil & gas industry, data is not the challenge — managing it properly is.

A modern AI-powered web-apps designed to automate, standardize, and streamline subsurface metadata cataloging. Built specifically for E&P organizations, MetaDB ensures regulatory compliance while dramatically reducing the time and complexity of metadata management.

MetaDB transforms scattered files into structured, searchable, compliant digital assets — intelligently and efficiently.

The Industry Challenge
Fragmented Data. Multiple Formats. Regulatory Pressure

Energy companies manage massive volumes of subsurface data:

These datasets exist in multiple formats (PDF, LAS, SEGY, XLSX, JPG, PNG, CSV, PPTX, and more), making metadata extraction slow, manual, and error-prone.

 

On top of that, companies must comply with Minister of Energy and Mineral Resources Regulation No. 7/2019, which requires standardized metadata submission following Appendix 1 classification.

Without automation, this process consumes significant manpower and introduces operational risk.
MetaDB eliminates that complexity.
General info:
AI-Driven Metadata Cataloging Platform

MetaDB ensures your data is not only stored — but structured, searchable, and compliant. It enables organizations to:

Automatically extract and classify metadata
Standardize according to regulatory requirements
Preview and validate before submission
Search, browse, and export cataloged metadata
Connect seamlessly to external databases via REST API
Key benefits
Designed for Operational Efficiency

MetaDB significantly reduces:

Manual metadata entry time
Data conversion bottlenecks
Human error in classification
Compliance risks
Data retrieval inefficiencies
Cataloged metadata can be:
Searched instantly
Filtered with advanced criteria
Browsed systematically
Exported to Excel
Connected to external systems

Enhance digital transformation, reduce operational inefficiencies, and accelerate your data submission.

Key features:
With 4 Intelligent Data Matching Methods

MetaDB integrates four AI-powered automation tools to convert existing documents into structured metadata:

1. Drop-Down Assisted Mapping

Structured guided selection to accelerate classification

2. Highlight-to-Extract

Simply highlight key information from documents — MetaDB extracts and maps it automatically.

3. Drag & Drop Conversion

Upload files effortlessly and let MetaDB process them instantly.

4. Fully Automatic AI Mapping

MetaDB analyzes documents using predefined algorithms and intelligently converts them into standardized metadata. Manual override is available when needed — ensuring full user control.

This hybrid AI + human validation approach guarantees both speed and accuracy.

Fully Aligned with Appendix 1 – Permen ESDM No. 7/2019

MetaDB is engineered to comply with the metadata structure required by Indonesia’s Ministry of Energy and Mineral Resources.

  • 10 Data Types
  • 44 Sub-classifications
  • Standardized export formats
  • Preview before final submission

Your metadata will always be structured according to national standards — reducing audit risks and submission errors.

Secure. Scalable. Service-Based.

MetaDB is built on a modern service-based architecture:

  • Secure authentication service
  • Role-based access control
  • REST API integration capability
  • Compatible with MySQL or Oracle RDBMS
  • Easily scalable based on user volume

Whether deployed for 10 users or scaled enterprise-wide, MetaDB adapts to your infrastructure.

Flexible Commercial Model
MetaDB is available under:

One-Time Purchase
(Unlimited License)

Annual Maintenance & Technical Support

Optional Metadata Loading Services

GTN also offers pilot implementation to demonstrate real operational value before full deployment.

Request a Live Demo

Discover how MetaDB can streamline your metadata management and ensure full regulatory compliance.