[comp.ai.neural-nets] Some fielded applications of NNs in Process Industry

joshi@wuche2.wustl.edu (Amol Joshi) (09/19/90)

An article in CHEMICAL ENGINEERING, August 1990 may be of
interest to some of you. It mentions two fielded applications
of NNs in the process industry and goes on to explain what
NNs are to the practioners. Although the process industry is 
very conservative, it seems that it has caught on the
neural networks wave. Considering the nature of the industry
where productivity increase of even 0.5% could mean millions
of $s, this is not surprising.

p.19

Neural networks optimize chemical production..
	Texas Eastman Co. has collaborated with MCC to develop
	an application where they are optimizing the amount 
	an expensive chemical used as a raw material. The NN
	was trained with the historical data from operational
	records to develop a model of the plant. They claim
	to be saving almost a third on the raw material and
	also obtaining higher-quality final product. Texas
	Eastman plans to explore NN technology for use in
	all of their plants (of course!)

p.37 features an article on NNs. It mentions the following
fielded applications:
	
	At Olin Chemicals (Cheshire, CO) NNs are being used
	to predict trends in the prices of 33 petrochemicals,
	according to Buzz Woods, Senior Associate.

The article also mentions some work going on at Shell
Development Co. in adaptive process control.

According to Wayne Jones, manager of advanced technology
at Fisher Controls International Inc. (a major player
in chemical process control), neural nets are suitable
for modeling very slow processes with long time constants.
(He implies that they don't work well with systems that
exhibit quick responses. So an NN would not learn to
control a compressor very well, for example. 
I would like to hear any comments on this statement of
his.)

The article reviews this technology favorably.
According to the article, companies like Exxon, Du Pont,
Mobil, Amoco, Foxboro, Rhone-Poulenc (the largest chemical
company in France -which has now a major US presence),
Nestle, British Petroleum and Unilever have shown
strong inclination towards committment to this technology.

Amol

-- 
------------------------------------------------------------
Amol Joshi                         | joshi@wuche2.wustl.edu
Department of Chemical Engineering |
Washington University in St. Louis.|