3 col des MILLIMETER march the year 2003 10/4/03 12: 12 Page 20
Harry Dobush and Troy Wilson* suggest a means for protecting
and enhancing the value of exploration data
very year explorationists, industrywide, collect huge amounts of dollars well worth of data. But, when it comes time intended for
geologists to extract value from their
details, they often п¬Ѓnd that benefit has
been lost through poor practices in data management. There is no reliable record of the data that has been collected or data is not really where it
should be -- it has been misplaced or dangerous.
Re-assembling data can consume
weeks of their time and can significantly
reduce query productivity plus the quality of decision-making. Of all the information possessions held by a mining company, exploration data is likely to be one of the largest as measured in bytes, conventional paper
volume and dollar value. An exploration
group can easily store terabytes of digital information, which includes airborne geophysics, ground geophysics, geochemical info, drill opening logs,
searched topographic roadmaps, digital elevation
data, remotely sensed images, geological
roadmaps, reports and supporting paperwork.
And then you will discover the voluminous historic
newspaper archives that may or may not had been
scanned in digital type.
In an market that is dependent upon being
in a position to collect, procedure and translate large amounts of information, data management has turned into a key goal for productivity gains.
This really is particularly crucial in an age of
global consolidation and downsizing once
many exploration companies are faced with the
challenge of having to conduct effective exploration programmes with fewer staff and less money.
Huge mining companies such as Rj Tinto
still invest up to $100 , 000, 000 a year in exploration when junior query companies functioning at the opposing end of the scale may well
expend lower than 1% of the amount.
*Tim Dobush is CEO, Troy Wilson is usually Global
Promoting Officer by Geosoft Incorporation, Toronto,
Canada. Tel: plus one 416 369 0111,
bernard. [email protected] com;
troy. [email protected] com
No matter company size however , controlling data to maximise its benefit both now and in the future, at the lowest possible cost, is a concern to get investors as well as exploration managers. " The exploration info that we make is an
asset that should be preserved for future years
beneп¬Ѓt of the shareholder, вЂќ says Joshua
Finlayson, exploration director pertaining to Rio Morapio in
Australasia. To put the matter in perspective,
Rio Tinto's global query programme
goes back 55 years towards the end of WW 2 and
features resulted in the accumulation of large
regional info assets having a replacement worth
of a number of billion dollars. " Historic data is definitely
beneп¬Ѓcial to existing query projects while
well because future types, вЂќ says Mr Finlayson, " and
preserving these rich stores of search
data for quick retrieval and reuse is a primary
objective of your company. вЂќ
Does powerful data
supervision help in the
Firstly, query geoscientists will be dependent on top quality data to help them make the correct decisions and speed up breakthrough.
However , while the amounts of digital data con-
Schematic of pursuit data supervision. Transparency,
Schematic of exploration data managing. Transparency,
seamless integration of multiple applications and datasets, and a spotlight on query business operations and end user needs happen to be critical to developing an effective data managing strategy
tinue to develop, the challenge of handling that
data successfully has grown tremendously.
Preserving, accessing and finalizing data can be described as
major work, particularly when details is
becoming generated and used by geographically
dispersed п¬Ѓeld teams.
Subsequently, duplication of work, whether it is
the re-drilling of old prospects, the reп¬‚ying of
geophysical surveys or perhaps the recollection of surface geochemical samples, is known as a major way to obtain waste in exploration. Effective management of
data is an obvious technique of eliminating...