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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

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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

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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.

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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

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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

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Best work flow model to mitigate these issues

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Action Manager for Geotechnical Data Migration

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Categorise and Extract – The Key for data structuring

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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

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