GeoTechnical Data management A need for the Exploration

Geo-Technical Data management – A need for the Exploration Industry Presented at India Geospatial Forum 2012 Dr. Hanuman Prasad We deliver Global Engineering Solutions. Efficiently. © 2011 Infotech Enterprises. All Rights Reserved

Context q Mining companies collect several types of data in various systems at different stages throughout the complete life cycle of mining q As operations becoming more complex, managing the information is more difficult q Need for technological orientation is necessary for smooth operations q Workflow automation will play an important role in any mine operations © 2011 Infotech Enterprises 2

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 3

Data Organisation – The key for any exploration industry q Asset – Technical Data is an important asset and need to be managed with proper structure q Sharing – Data should be effectively shared; right information to the right people in right time q Accessibility - Wide access to data leads to efficiency and effectiveness in decision-making © 2011 Infotech Enterprises 4

General Issues on the data stored ü One column for many purposes ü Purpose of a column is derived from many rows ü Incorrect/ inconsistent data values and formatting ü Missing and hidden data and columns ü Multiple sources for the same data ü Several Primary Key /Foreign Key strategies for the similar entities ü Unrealized relationships between data records ü Single aspect is stored in multiple columns ü Multiple aspects stored in Single column ü Diverse data types and formats for comparable columns ü Inconsistent level of detail ü Varying timeliness of data ü Varying default values ü Multiple legends for same attributes © 2011 Infotech Enterprises 5

Best work flow model to mitigate these issues © 2011 Infotech Enterprises 6

Action Manager for Geotechnical Data Migration © 2011 Infotech Enterprises 7

Categorise and Extract – The Key for data structuring © 2011 Infotech Enterprises 8

Advantages and Benefits q Consistent and accurate content q Reduction of redundant content q Lower maintenance efforts q Reduced costs q Domain knowledge make data categorization easy and affordable q Multiple solutions with a single action manager yield easy data classification and extraction q 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 3 D models for decision making © 2011 Infotech Enterprises 9

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