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Narrowing the Gaps Between
Refinery Planning and Scheduling
March 7, 2012
Zafar Ali
Lance Ulrich
Alycia Wiegenstein
Allison McNulty
© 2012 Aspen Technology, Inc. All rights reserved
Agenda
 Introductions
 Planning & Scheduling Synergies
 Increased Productivity
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Zafar Ali
 Education
– B. Tech Chemical Engineering – IIT Bombay, MS Chemical
Engineering – Ohio State University,
– MBA – University of Houston
 Work Experience
– Deepak Fertilizer
 Engineer
– Aspen Technology
 Senior Consultant refinery scheduling, pipeline scheduling, olefins
scheduling, and refinery planning (6 years)
 Development Manager, Petroleum Supply Chain (PSC) R&D
 Director, Software Development, PSC R&D (6 years)
 Senior Director, Product Management (1.5 years)
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Lance Ulrich
 Education
– BS, MS Chemical Engineering – MSU Bozeman Montana
 Work Experience
– Process Engineer, APC Engineer – Koch Refining, Corpus Christi Texas
– Ops Supervisor, Project Manager, PSM Coordinator – CHS, Laurel
Montana
– Models Engineer – Conoco, Billings MT
 Rigorous Engineering Models, PIMS Rewrite, Orion
– Planning Engineer – ConocoPhillips, Billings MT
 Used PIMS for Daily, Weekly, Monthly, 5 Year Op Plans
– Planning Manager – Valero St Charles and Aruba Refineries, San Antonio
TX
 Op Plans, Income Forecast, KPI/LPO, Plan to Actual Income Reconciliation
– P&E Dept Head – Valero St Charles Refinery, New Orleans, LA
 Supervised three Schedulers and one Planner, Refinery Leadership Team
member
– Director, Refining Economics – Delek US, Nashville TN
 Created P&E Dept. and all routine work processes for Tyler and Lion Oil
Refineries
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Alycia Wiegenstein
 Education
– B.S. Chemical Engineering from Texas A&M UniversityKingsville
 Work Experience
– Valero Energy Corporation
 Market Analysis and Pricing Analyst (2 years)
 Process Engineering (2 years)
 Products and Feedstock Blending (2 years)
– Hovensa Corporation
 Refinery planner (1 year)
– LyondellBasell Refining
 Refinery planner (2 years)
– Aspen Technology
 Product management (2 years)
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Increase Productivity
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Online Training – Anywhere, Anytime
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Challenges in Planning & Scheduling (1)
Tedious manual entry or costly
custom services for importing
assays
Resulting in assays
updated sporadically, or
not at all
Ultimately, the plan is never
optimally executed because
models give different answers
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Challenges in Planning & Scheduling (2)
Lack of real-time
feedback and audit of
changes
Separate spreadsheets
from disparate sources
Variations from plan, scheduled and actual often not caught during
real time can lead to losses of 8 to 10 cents per barrel
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New Planning & Scheduling Synergies
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Challenges in Scheduling (1)
Data Import via
APS/MBO
database staging tables
Database
Static Reports from
database tables
Data Input
Data Output
Schedulers spend hours validating & importing data
AND lack of ad-hoc reports impact productivity
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Challenges in Scheduling (2)
Open and modify each
event independently
Grid editors not as
flexible as Excel
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Excel Synergies in Scheduling
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Challenges in Planning
Old Text Reports
PIMS Analytics
Unit data is spread out in a
186 page report according
to PIMS table structure
All unit data can be placed
in one logical place
Visualization is key to better decision making
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PIMS Analytics Workflow
Analytic Reports
Scorecards
Excel PowerPivot
PIMS
SQL Server
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OLAP Cube
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PIMS Analytics
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PIMS Spider Chart Demo
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Visualisation of Scenario results:
Lt/Hvy, Swt/Sour, Gas/Dsl, HFO demand
Spokes = scenarios
Rings = crudes
(choose which to view)
Small
Lt/Hvy
Diff
Only 6 of the
18 crudes were
purchased
across all cases
Significant strategy changes
Low HFO
Demand
(shortlist?)
Assists with
understanding
robustness of each
crude and your
substitution options
High
Swt/Sour
Spread
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OPTIMIZE™ 2013
Global Conference
Join us in Boston for the
industry’s must-attend event!
OPTIMIZE 2013
6 – 8 May 2013
The Westin Waterfront Hotel
Boston, MA USA
For more information, visit
www.aspentech.com/agc
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Want to see similar results?
Consider a training class from AspenTech
http://training.aspentech.com
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Introduction to Refinery Planning
Introduction to Refinery Planning (RPA101)
March 17, 2012 – Khobar, Saudi Arabia
March 19, 2012 – Brussels, Belgium
March 26, 2012 – Brisbane, Australia
April 9, 2012 – Houston, TX
April 16, 2012 – Virtual – Latin America
http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=RPA101
 Provides an introduction to the Aspen PIMS system
 Emphasis is placed on learning how to use the Aspen PIMS
system to solve typical planning problems
 Course is oriented toward the practical aspects of refinery
planning as well as the terminologies and theories of linear
programming
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Aspen PIMS: Solving Refinery Planning
Problems
Aspen PIMS: Solving Refinery Planning Problems
(RPA201)
March 12, 2012 – Houston, TX
March 26, 2012 – Reading, UK
March 26, 2012 – Las Vegas, NV
April 2, 2012 – Houston, TX
May 7, 2012 – Seoul, Korea
http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=RPA201
 Provides an intensive problem-solving workshop designed for the
experienced Aspen PIMS user
 Detailed emphasis is placed on reviewing Aspen PIMS modeling
techniques and troubleshooting errors and warnings in models
 Develop troubleshooting skills to analyze and solve model
problems
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Aspen Petroleum Scheduler: Building and Using
Models (Aspen Orion XT)
Aspen Petroleum Scheduler: Building and Using Models
(RBS121)
March 26, 2012 – Houston, TX
April 2, 2012 – Reading, UK
April 9, 2012 – Shanghai, China
April 23, 2012 – Houston, TX
May 21, 2012 – Reading, UK
http://support.aspentech.com/supportpublictrain/CourseInfo.asp?course=RBS121
 Course leads you step-by-step through building a model of a
medium conversion refinery and scheduling the refinery
operations
 Provides instruction on modeling solutions for both common and
unique configuration and scheduling logic problems
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