Book Image

Operator Training Simulator Handbook

By : Joseph Philip
Book Image

Operator Training Simulator Handbook

By: Joseph Philip

Overview of this book

Operator training simulators in the process industry have been around since the 1970s, but you may not find a book that documents the development of these systems and the standard best practices. The Operator Training Simulator Handbook covers best practices for OTS engineering and OTS training development and delivery, starting from the basic the jargon and the different types of OTS systems. It will take you through the best approaches to project specification as well as building, maintenance, planning, and delivering these systems by sharing real-life experiences and dos and don’ts. As you advance, you'll uncover the various challenges in the planning and delivery of operator training models and understand how to address those by working through real-world projects. This book helps in specifying the best fit for purpose, choosing a cost-effective system when acquiring an OTS. You'll also learn how you can turn your OTS projects into digital twins before finally learning all about documentation in a typical OTS project, covering the sample structure that you can use as a starting point in your projects. By the end of the book, you'll have learned best practices for developing operator training simulator systems and have a reference guide to overcome common challenges.
Table of Contents (11 chapters)
Section 1: Introduction, Definitions, and Classifications
Section 2: Best Practices for the Development of OTS Systems
Section 3: OTS' Future, Training Model, and Reference Documents

Model build

The model build phase is the most critical step in the project, and getting it right is vital for the project's success. To be able to do that, all the steps prior to this step need to be executed to a very high standard, from defining the scope and getting everything documented in the FDS and the DDS to getting the correct P&IDs, datasheets, H&MBs, and steady state models, and some input from the operations team on how the process is engineered and operated. The latter will help the modelers better understand the process and will highlight what the operations team sees as potholes to avoid or explore in the model to show operation engineers and operators how to optimize their process.

The first thing the lead modeling engineer will need to decide with their team is whether the model is going to fit in one big model or whether it needs to be broken into smaller pieces.

All modeling packages will have issues around model-to-model communications, so keeping...