MSc Advanced Chemical and Petroleum Engineering [2018-2019]

Module Outcome

1. Introduction to a variety of systems architectures for big data, study on different architectures and the associated functions.
2. The design of big data system to enable the effective analytics of big data.
3. Study a variety of approaches for big data analytics.
4. Study on a variety of cases on big data product design and innovation.
5. Study on a variety of applications of big data analytics in different domains.

Module Overview:

Big Data Systems and Analytics module provides students with the knowledge of cutting-edge methodologies, approaches and skills in the emerging field of data science and big data applications, including advanced software development, systems for big data analytics, data analysis and exploration, datamining, distributed systems. The module introduces and utilises research methodologies, critical analysis and scientific explorations as teaching and learning approaches, with both individual and team-based learning activities.

Module Outcome

1. Synthesise the right process configurations for any given well fluid and crude oil quality and design the

entire upstream petroleum and refining processes with the given product quality constraints as well as

HSE (health, safety and environment) concerns.

2. Critically evaluate current research and address solutions to complex problems of the upstream

petroleum and refining operations emerging from current research.

3. Apply assumptions to complex problems in order to gain useful design information and models,

individually and in a team and to present clear procedures for a given design problem.

Module Syllabus:

Onshore/offshore oil recovery, well-field processing, three-phase separation, crude oil stabilization, gas sweetening, gas dehydration, other gas processing processes, water treatment processes, environmental constraints of processes, crude oil desalting, distillation (atmospheric and vacuum), alkylation, catalytic reforming, cracking, coking, desulfurization, blending, heat exchanger network for energy recovery, FCC. Products discharge or exports to market.

Coursework

3 detailed reports and simulation using ASPEN and/or gPROMS on the entire upstream petroleum and refining processes with the given 0-9000 words 100% 4 product quality constraints as well as HSE concerns. Group reports will be moderated by peer review.

Module Aims

Food and Pharmaceutical Process Engineering is a multidisciplinary module that introduces students with fundamental principles of mixing and crystallisation in process industry, the design of equipment for mixing (for both Newtonian and non-Newtonian fluids) and the design of equipment for food and pharmaceutical processing such as hot melt extruder, distillation, extraction, membrane separation and heat treatment units.

Outline of Syllabus

1. Mixing in the Process Industry: Introduction
2. Mixing in Agitated Vessels: Circulation & Intensity of Circulation, Power Consumption, Mixing Time
3. Mixing in Agitated Vessels: Extension to real non-Newtonian fluids.
4. Crystallisation and Crystallisers
5. Drying of pharmaceuticals 6. Size reduction and size enlargement in pharmaceutical industry
6. Size enlargement (dry, wet & melt granulation), extrusion spheronisation
7. Polymeric solid dispersions & hot melt extrusion
8. Powder technology and tabletting
9. Processing Techniques in the Food Industry (e.g. Freezing, Drying, Moisture Control, Thermal, Membrane Separation).
10. Food Processing Units and Process Modelling using gPROMS (process modelling tools).
11. Design and operation optimisation of unit operations applied in food processes

Module synopsis

This module is seeking to introduce the principles of operations and supply chain management to students with varied engineering background.

The integration of international markets, the development of world-wide transportation systems and advances in global communications and information technology are changing the competitive environment and forcing organisations to reassess their operations and logistics strategies to achieve a sustainable performance. Therefore, organisations are trying to respond to these changes by adopting a global perspective of their capabilities and markets to ensure a long-term, sustainable, success.

The focus of this module is those organisations that are sourcing, producing, manufacturing, distributing and marketing their products both in local, national and international regions.

To facilitate understanding these operations and supply chain issues, the module has been structured to cover critical strategic planning and management issues. The module also covers an analysis of key information and communication technologies supporting the integration of the operations and the supply chain, globalisation and sustainability issues.

Aims

1. To develop a comprehensive and in-depth knowledge on operations and supply chain management with a strong focus on sustainability aspects. A strategic perspective will be adopted throughout this module.
2. To analyse globalisation, sustainability and technological aspects influencing the performance of operations and the supply network.

Module Aims

The aim of this module is to provide you with a detailed technological understanding of strategically important issue of sustainable production of freshwater via different desalination methods.

Outline of Syllabus

Water demand & supply, multistage flash desalination, evaporative desalination, reverse osmosis desalination, freeze desalination, solar desalination, fouling, non-condensable gases, scaling, energy recovery, environmental pollution, costing, modelling & optimisation.

Module Learning Outcomes

On successful completion of this module, students will be able to…

1. Explain the global water demand and supply
2. Critically evaluate the alternative technologies for sustainable fresh water production
3. Apply knowledge of mass and energy balance in modelling thermal and membrane based desalination processes
4. Apply the optimisation techniques to trade-off between design and operation of desalination processes with maximum energy recovery
5. Analyse and assess the effect of brine disposal on marine life
6. Develop skills in process modelling and optimisation (using gPROMS)

Module Aims

The course treats the fundamental phenomena of momentum, energy, and mass transport, emphasising throughout the analogies between them. It establishes the mathematical framework of the conservation equations (continuity, motion and energy) and the corresponding constitutive equations (Newton’s law of viscosity, Fourier’s law of heat conduction and Fick’s law of diffusion). These are then applied to analyse various flow, heat transfer and mass transfer situations of importance to chemical engineering and obtain exact analytical solutions to steady state, unidirectional Newtonian and non-Newtonian flow problems and to steady-state heat and mass transfer problems. In addition, students are introduced to the use of CFD packages to solve situations not possible analytically.

Software used

• Ansys: FLUENT
• Solidworks