CFP Workshop AI in Petroleum and Mining

Jose Carlos Damski (jose@arch.su.edu.au)
Fri, 19 Mar 1999 21:38:46 +0100 (MET)

Call for Workshop Participants on: AI Technology for Petroleum and Mining

IEA/AIE-99 Workshop

Twelfth International Conference on Industrial and Engineering Applications of Artificial
Intelligence and Expert Systems, Cairo, Egypt, May 31 - June 3, 1999
http://pirates.cs.swt.edu/isai/iea-aie-99/ieaaie99.html

Workshop Format: One invited talk, short paper presentations followed by a panel discussion with
a half-day duration. Authors are invited to submit a short paper of up to 5 single spaced
pages in Word or plain text format. Submission must be in electronic format. Some paper will be
selected for presentations of 10 minutes duration.

Deadline:
Submission deadline is 26.March.99
Acceptance notice: 16.April.99
Camera ready copy: 1.May.99

Please send electronic submissions to:

Dr. Carlos Damski
University of Sydney/CSIRO Petroleum
Email: carlos@nsw.cmis.csiro.au

Suggested Topics:
-Case-based reasoning
-KBS/Expert Systems
-Data Mining
-Knowledge management
-Natural Language Processing
-Visualisation
-Sensor Fusion
-Computer Vision
-Machine Learning
-Reasoning Under Uncertainty
-Planning and Scheduling
-Fuzzy Logic

Description

The petroleum and mining industries both handle large quantities of data and use sophisticated
models in their attempts to minimise risk and maximise returns from their operations. The models
include operational aspects, such as scheduling, as well as physically-based operations such as
reservoir simulation or ore grade estimation. The workshop will discuss applications of AI which
allow data to be used in a more intelligent way and which make use of human expertise.

Why is the Workshop Appropriate at this Time?

The petroleum industry is currently facing a world-wide shortage of skilled personnel after a
long period of downsizing and the constantly changing technologies used make it necessary for
oil companies to improve corporate learning and corporate memory in all aspects of their
operations. The mining industry also faces continuous cost pressure and the need to maximise
the value of existing deposits by improving operational efficiency, mine design and orebody
delineation. The industry is also interpreting ever more complex datasets during exploration
for new resources. Mining databases are also becoming much larger, and the integration of
borehole and surface geophysical data has placed new challenges on visualisation and
interpretation methods. AI tools have the potential to improve operational efficiencies in both
industry sectors. By covering both sectors in one workshop the chances of successful
cross-fertilisation between them are much increased.

Workshop committee

Dr. Carlos Damski
University of Sydney/CSIRO Petroleum
202/2 Pembroke St.
Epping, NSW, 2121, Australia
Email: carlos@nsw.cmis.csiro.au

Dr. Simon Kravis
CSIRO Mathematical and Information Sciences
PO Box 664
Canberra City, ACT 2601
Australia
Email simon.kravis@cmis.csiro.au

Duncan Stevenson
CSIRO Mathematical and Information Sciences
PO Box 664
Canberra City, ACT 2601
Australia
Email duncan.stevenson@cmis.csiro.au

Dr Rosemary Irrgang
CSIRO Mathematical and Information Sciences
Locked Bag 17, North Ryde NSW 2113
Australia
Email rosemary.irrgang@cmis.csiro.au

________________________________________________________________________

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