Mastering 3D Plant Engineering, Digitalisation & Automation
A hands-on playbook for EPCs and owner-operators to design faster, automate deliverables, reduce clashes, and hand over clean datasets ready for operations.
“The digital-twin section alone is worth the price.” — Plant Digitalization Lead
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About the Book
A practical, vendor-neutral roadmap for data-driven plant projects
Move from drawing-centric delivery to information-centric engineering. The book explains the people, process and platform shifts that shorten schedules, reduce rework, and deliver clean handover data that operations can trust.
What you’ll learn
- Set up a robust 3D/BIM environment and distributed collaboration.
- Design SOPs for reviews, issue tracking and clash resolution.
- Create parametric catalogs & commodity codes for accurate BOQ.
- Manage documents and models in cloud-ready CDEs.
- Plan data handover with ERP/CMMS/MES integrations.
- Introduce AI/ML pilots for QA/QC and throughput gains.
How the playbook works
Each chapter ends with a checklist and an “activation”—a small, high-leverage change you can run in a week (e.g., tag dictionary freeze, nozzle-clearance rules, or a clash- prevention gate). Templates for RACI, approval matrices, data dictionaries and KPI dashboards make improvements measurable and repeatable across projects.
Workflows are tool-agnostic and focus on handoffs between functions—engineering, procurement, construction and operations—so information stays consistent from bid to commissioning and beyond.
Outcomes
- Fewer clashes and change orders with early rules & libraries.
- Handover-ready, structured asset data aligned to operations.
- Clear KPIs and governance that sustain gains over time.
- Reusable playbooks and templates for future projects and teams.
Inside the Book
Table of Contents
Expand each part to explore chapters, workflows, and templates.
- 1. The Shift to Data-Centric Engineering
- 2. 3D/BIM Toolchain, Roles & RACI
- 3. Standards, Codes & Governance
- 4. Infra & Project Set-up (hardware, networks, cloud)
- 5. Document Control & Versioning
- 6. Intelligent P&IDs & Tagging Strategy
- 7. Parametric Catalogs & Commodity Coding for BOQ
- 8. Rules, Clash Avoidance & Model Integrity
- 9. Concurrent Engineering & Distributed Worksharing
- 10. Review Workflows, Issue Tracking & Sign-off
- 11. Photogrammetry, LiDAR & GPS/Survey Integration
- 12. Satellite Imagery & Holographic/AR Models
- 13. As-Built Reconciliation & Change Management
- 14. Documented Architecture for Global Collaboration
- 15. Data Models & Twin Architecture
- 16. Integrations with ERP/CMMS/MES
- 17. KPI Dashboards & Lifecycle Data Handover
- 18. Practical AI for QA/QC & Model Checks
- 19. Throughput, Safety & Cost Optimisation
- 20. Roadmaps, ROI & Org Readiness
- A. SOP Templates & Checklists
- B. Sample Data Dictionaries & Tagging Schemes
- C. Pilot Plans & Risk Registers
Free Excerpt
Read a Sample Chapter
Download a short PDF to get a feel for the writing, structure, and tools we recommend.
The sample includes the foundational checklist for setting up a 3D/BIM project, a practical clash-prevention workflow, and a preview of the handover data model.
- “Don’t treat models as drawings.” Treat them as structured data objects that drive procurement, construction and operations.
- “Clash firefighting is a symptom.” Fix root causes with early rules, libraries and governance—then clashes drop naturally.
- “Handover starts on day one.” Define tags, metadata and ownership early—the last mile becomes a click, not a scramble.
Free: Project Kickoff Checklist (PDF)
Get a one-page checklist we use to start 3D/BIM projects on the right foot.
Excerpt
“Towards that end, this book offers a comprehensive guide for learning as well as applying techniques for faster delivery of capital projects including their overall lifecycle management. We move beyond ‘drawing packages’ and establish a common data language across engineering, procurement, construction and plant operations.”
“Customization and commodity coding of bulk items enables reliable BOQ and inventory streams. When these codes flow through your 3D model, ERP and CMMS, you unlock management by facts— not by emails and spreadsheets.”
From the Back Cover
What this book equips you to do
Highlights and author details as printed on the back cover.
- Effectively develop a 3D engineering set-up and distributed collaboration.
- Establish hardware/software infrastructure for project execution.
- Create 3D workflows, SOPs, review mechanisms & clash resolution procedures.
- Leverage intelligence & data for higher productivity and quality.
- Commodity coding for BOQ generation and streamlined procurement/inventory.
- Digitalisation using photogrammetry, GPS, holographic models & digital twins.
- Document management using cloud CDEs tailored to 3D deliverables.
- Capital Project Management (cPLM) and lifecycle handover strategies.
- Use of BIM in operations with ERP, SAP & MES aligned to Industry 4.0/5.0.
- Core concepts of AI/ML/NLP applied to 3D plant engineering.
Click to view large back cover image.
Social Proof
What readers say
Independent practitioners and leaders on the playbook
“Finally, a no-nonsense bridge between BIM theory and what EPC teams actually do under deadline.”
— Project Engineering Lead
“Our handover data quality jumped immediately using the checklists and KPIs in this book.”
— Commissioning Manager
“The digital-twin section alone is worth the price—clear, vendor-neutral, and practical.”
— Plant Digitalization Lead
Authors
S. B. Sengupta & Soumen Roy
Decades of experience across EPC/EPCM delivery, plant design automation, and data-centric engineering.
Subhra Baran Sengupta
37+ years across power, oil & gas, infrastructure, chemicals, mineral beneficiation and steel. Has led consulting, EPC and owner’s engineering teams; set up engineering organizations; and created initiatives for performance improvement and engineering solutions.
Graduate Mechanical Engineer (IIT Kharagpur); postgraduate in Project Engineering; Cost Accountant.
Soumen Roy
Technology & operations leader in business transformation and data-driven delivery. MCA (SMU) and DCE (SCETE); Six Sigma, ESRI GIS and AI/ML certified. Pioneered drone-based photogrammetry and LiDAR in steel plants; led automation using AI/BI/ML/RPA.
Get Your Copy
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Buy — Amazon (US)ISBN: 978-93-49311-76-3 • Publisher: White Falcon Publishing
Media
Press Kit
Download high-res cover, author bio, headshot, blurbs, and a one-page press sheet.
Articles
Blog
Implementation notes, case studies, and tool tips.
18/08/2025
How Data-Centric Engineering Cuts Rework by 30%
A governance model + clean tagging scheme eliminates a surprising amount of churn.
02/07/2025
From 3D Models to Living Digital Twins
Digital twins are a process, not a file. Think ownership, sync cadence, and integrations.
10/06/2025
Getting Started with AI/ML for Plant QA
Small pilots first: model integrity checks, missing attributes, and spec drift.
FAQ
Frequently Asked Questions
A few quick answers about scope, tooling, and who it’s for.
Is this book tool-specific?
No—vendor neutral. Workflows and data handoffs apply across major BIM/plant tools.
Who benefits most?
EPC/EPCM teams, owner-operators, BIM leads, piping designers, QA/QC and commissioning.
Do I need AI expertise?
No. We start with simple, production-ready pilots (integrity checks, anomaly detection).
Can I use this to standardize handover?
Yes—there are tagging templates, data dictionaries, and KPI dashboards to make handover repeatable.
Contact
Get in Touch
Speaking, consulting, bulk orders, or press enquiries.
Contact Writers
Subhra Baran Sengupta
sbsengup@yahoo.comSoumen Roy
soumenroy@outlook.com