Enron Mail

From:larry.campbell@enron.com
To:michael.terraso@enron.com, rich.jolly@enron.com, louis.soldano@enron.com,michel.nelson@enron.com
Subject:Conference Cal with Adewumi
Cc:david.roensch@enron.com, butch.russell@enron.com, rick.cates@enron.com,william.kendrick@enron.com
Bcc:david.roensch@enron.com, butch.russell@enron.com, rick.cates@enron.com,william.kendrick@enron.com
Date:Fri, 12 Nov 1999 02:08:00 -0800 (PST)

This is just a short update on the conference call just completed with
Michael Adewumi of Penn State, concerning the PCB pipeline modeling project
proposed for the Transwestern mainline system. David Roensch, Dr. Adewumi
and myself discussed the latest proposal submitted by Adewumi and based upon
his answers to the technical and operational questions, it appears that the
model will yeild some useful information. Adewumi was asked about the
simultaneous modeling of PCB's and arsenic and feels that the model can
address this situation. He felt that by initiating the model to the pipeline
segement selected for the study (between C/S 4 and C/S3) this information
could be projected to the other pipeline segments with physical and
elevational conditions not represented in the segment selected. As is the
case with most projects of this nature, answers to some questions cannot be
addressed until we begin the process.

It appears that the next step in this process is to have Mike Terraso contact
Michael Adewumi. David Roensch and I will be available to feed technical and
operational information to Adewumi for his modeling input. It may also be in
the best interest of this project to see a team of technical and operational
experts from Enron and Transwestern begin a brain stroming of this project
during the data input stage to address issues related to the field cleaning
trials, both of the pipeline system and the C/S piping. By working through
the process, we may be able to alleviate some potential concerns and
increase the cleaning success. Although Transwestern has been involved in
this type of cleaning for a number of years, based upon the liquids data
results, the system has met with variable success. The more technical and
operational information we can incorporate into the model, the better will be
the modeling conclusions and results of the cleaning activity.