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Transcript of © 2011 Infotech Enterprises. All Rights Reserved We deliver Global Engineering Solutions....
© 2011 Infotech Enterprises. All Rights Reserved
We deliver Global Engineering Solutions. Efficiently.April 19, 2023
Geo-Technical Data management –
A need for the Exploration Industry
Presented at India Geospatial Forum 2012
Dr. Hanuman Prasad
© 2011 Infotech Enterprises 2
Context
Mining companies collect several types of data in various systems at different stages throughout the complete life cycle of mining
As operations becoming more complex, managing the information is more difficult
Need for technological orientation is necessary for smooth operations
Workflow automation will play an important role in any mine operations
© 2011 Infotech Enterprises 3
Current Challenges
Geospatial technology: Lack of GIS leads to increased operational complexities
Central database: There is a need of a centralised database, accessible across the organisation.
Duplicate Data: It is estimated that a large percentage of volume of data is duplicated and needs to be cleansed, classified and migrated
Shortage of Remote Sensing Studies: Need of technical expertise with mining knowledge/skill for appropriate interpretation and analysis of post and pre mining activities.
Automation: The issue today is not only the lack of right information but the also means to interpret to drive improved decision making and operational performance.
© 2011 Infotech Enterprises 4
Data Organisation – The key for any exploration industry
Asset – Technical Data is an important asset and need to be managed with proper structure
Sharing – Data should be effectively shared; right information to the right people in right time
Accessibility - Wide access to data leads to efficiency and effectiveness in decision-making
© 2011 Infotech Enterprises 5
General Issues on the data stored
One column for many purposes
Purpose of a column is derived from many rows
Incorrect/ inconsistent data values and formatting
Missing and hidden data and columns
Multiple sources for the same data
Several Primary Key /Foreign Key strategies for the similar entities
Unrealized relationships between data records
Single aspect is stored in multiple columns
Multiple aspects stored in Single column
Diverse data types and formats for comparable columns
Inconsistent level of detail
Varying timeliness of data
Varying default values
Multiple legends for same attributes
© 2011 Infotech Enterprises 9
Advantages and Benefits
Consistent and accurate content
Reduction of redundant content
Lower maintenance efforts
Reduced costs
Domain knowledge make data categorization easy andaffordable
Multiple solutions with a single action manager yield easy data classification and extraction
This staged approach will benefit the overall process by overcoming the complexities involved in the legacy technical data, allowing for accurately categorised and extracted information. Thus creating the accurate mine 3D models for decision making