Aspen Pims

Supply Chain Optimization for Refineries

What you'll learn

Introduction to Aspen PIMS

Introduction to Linear Programming

Matrix Structure

Economic Concepts

Aspen PIMS Basics: Navigation, Data Tables, Process Flow, Reports

Requirements

Basic concepts of optimization, and simplex algorithm is a plus.

Description

This course is the perfect start to learn Aspentech PIMS essentials.It is mainly designed for oil and gas industry professionals, as well as fresh graduates.The course includes common cases drived from oil refinery hydrocarbon processes feedstock and product planning scenarios. It also includes additional information about what refinery is: hydrocarbon processes such as FCC, CCR, atmospheric and vacuum distillation, product blending, crude assay properties, etc.Subtopics covered:1. Introduction to Aspen PIMS2. Introduction to Linear Programming1. A simple LP problem, matrix format, graphical solution,3. Simplex algorithm and matrix generation,4. Economic concepts5. Aspen PIMS basics:· Navigation in Aspen PIMS· Aspen PIMS Data Tables· Aspen PIMS Process Flow· Aspen PIMS ReportsAspen PIMS data tables and table formatsAspen PIMS Supply and Demand TablesClass Problem: A&B Model ( Buy and Sell )Case StackingProduct BlendingClass Problem: ABC Model ( Buy, Sell, and Blending )Class Problem: Import Gasoline BlendstockClass Problem: Blend and Sell New ProductsAspen PIMS data tables and table formatsAspen PIMS Supply and Demand TablesClass Problem: A&B Model ( Buy and Sell )Case StackingProduct BlendingClass Problem: ABC Model ( Buy, Sell, and Blending )Class Problem: Import Gasoline BlendstockClass Problem: Blend and Sell New Products

Overview

Section 1: Introduction

Lecture 1 What is Aspen PIMS

Section 2: Review of Concepts

Lecture 2 Review of Linear Programming Concepts

Lecture 3 Class Problem #1

Lecture 4 Review of Economic Concepts

Section 3: Aspen PIMS Tables

Lecture 5 Aspen PIMS User Interface

Lecture 6 Aspen PIMS Data Tables and Table Format

Lecture 7 Aspen PIMS Supply and Demand Tables

Lecture 8 Case Stacking

Lecture 9 Product Blending

Lecture 10 Class Problem #03

Lecture 11 Class Problem #04

Chemical Engineers,Linear Programs Engineers, LP Programmers,,Refinery Economists