CONF-MSS 2025
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Title:

Automation and Smart Technologies in Petroleum Engineering

Date:

March 21st, 2025 (GMT+8)

Organizer:

UCSI University

Symposium Chair:

Dr. Mian Umer Shafiq

Assistant Professor in UCSI University

Personal Bio:

Dr. Mian Umer Shafiq is a PhD holder in Petroleum engineering from Curtin University Australia, and currently working as an Assistant Professor in Chemical and Petroleum Engineering Department at UCSI University. He earned the title of International Professional Engineer from Pakistan Engineering Council (PEC) and Professional Technologist Title from Malaysia Board of Technologist (MBOT). He is the research and MS program coordinator of the department. He also worked previously in Curtin University Malaysia as an Associate lecturer and at NFCIET Pakistan as an Assistant Professor. During his tenure at NFC IET Multan, he assigned the role of Head of Department. He is an active researcher and published more than 20 research publications including various journal papers and book chapters. His research interests include production optimization, Carbon Capture and Storage, Stimulation and Enhanced Oil Recovery. He also won few internal funding and currently supervising 2 PhD students.

Committee Members:

Dr. Mian Umer Shafiq, UCSI University, Malaysia, shafiq@ucsiuniversity.edu.my

Dr. Noshin Fatima, UCSI University, Malaysia, noshin@ucsiuniversity.edu.my

Sami Abdelrahman, UCSI University, Malaysia, samiabdelrahman@ucsiuniversity.edu.my

Bonavian Hasiholan, UCSI University, Malaysia, bonavianh@ucsiuniversity.edu.my

Call for Papers

Background:

Petroleum Engineering has traditionally been a field heavily reliant on manual processes, extensive physical infrastructure, and skilled human expertise. However, as the demand for energy grows and the complexity of oil and gas extraction increases, the industry is undergoing a significant transformation driven by automation and smart technologies. This symposium, titled "Automation and Smart Technologies in Petroleum Engineering," aims to explore the transformative impact of digital technologies on the oil and gas sector. The emergence of smart technologies, including Artificial Intelligence (AI), and Machine Learning (ML), marks a new era in petroleum engineering.These innovations facilitate more precise drilling, optimized production, and enhanced reservoir management. They also play a crucial role in predictive maintenance and risk management, reducing downtime and improving safety.

Goal/Rationale:

The petroleum industry faces increasing challenges due to the complexity of extracting hydrocarbons from mature and unconventional reservoirs, the volatility of energy markets, and the growing emphasis on environmental sustainability. Traditional methods of operation, which often rely on manual processes and reactive decision-making, are no longer sufficient to meet the demands of modern petroleum engineering. The industry must enhance operational efficiency, reduce costs, and minimize environmental impact while ensuring safety and reliability. This symposium will delve into the key drivers for the adoption of these technologies, such as operational efficiency, safety, and environmental sustainability. Additionally, it will address the challenges associated with integrating these technologies into existing infrastructures, cybersecurity concerns, and the transformation of the workforce to meet the demands of this digital shift.

Topics:

The main topics of this symposium are listed below.

Mechanics and Automation

  • Machine Design
  • Mechanical CAD/CAM
  • Mechanical Power Engineering
  • Mechanical Dynamics
  • Process Control & Instrumentation
  • Flexible Manufacturing Systems
  • Integrated Manufacturing
  • Precision Manufacturing & Measurement
  • Fault Detection and Diagnostics
  • Physical System Modelling
  • Manufacturing Automation
  • Industrial Automation
  • Micro- and Nano-scale Automation
  • Advanced Intelligent Mechatronics
  • Machine Vision System
  • Human-Machine Interaction
  • Real-time Systems

Meanwhile, submissions aligned with the overall conference theme are also welcome.

Robotics

  • Mechatronics and Robotics
  • Bio-inspired Robotics
  • Evolutional Robotics
  • Field Robotics
  • Manufacturing Robotics
  • Healthcare Robotics and Medical Robotics
  • Wearable Exoskeleton and Powered Exoskeleton
  • Parallel Robots and Manipulators
  • Robotic Cognition and Emotion
  • Robotic Perception and Decision
  • Human-Robot Interaction
  • Control Algorithms and Control Systems
  • Kinematics and Dynamics Analysis
  • Mathematical and Computational Methodologies in Robotics

Electronics and Sensors

  • Sensors / Actuators
  • Sensor Design, Sensor Fusion, Sensor Networks
  • Sensing and Measurement in Electromechanical Systems
  • Intelligent Sensing and Control
  • Micro-nano Electromechanical System
  • Micro and Nano Mechatronics
  • Mechatronics in MEMS
  • Microfluidic Technology

Smart System

  • Smart Grids, Smart Power Delivery Systems
  • Power Engineering
  • Distributed Generation Systems
  • High Voltage Systems
  • Power Quality (PQ)
  • Power System Reliability
  • Transportation and Traffic Engineering
  • Power Electronics and Drives
  • Electric Motors and Transformers
  • Grid to Vehicle (G2V) and Vehicle to Grid (V2G)
  • Electric Vehicles
  • Autonomous Driving
  • Smart Transportation and Smart City
  • Civil Engineering

Submission:

Prospective authors are kindly invited to submit full papers that include title, abstract, introduction, tables, figures, conclusion and references. It is unnecessary to submit an abstract in advance. Please submit your papers in English.

Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template before submission. Paper Template Download

Please prepare your paper in both .doc/.docx and .pdf format and submit your full paper by email with both formats attached directly to sympo_kualalumpur@confmss.org

Important Dates:

Process Date & Time
Submission Deadline March 14, 2025
Symposium Date March 21, 2025
Notification of Acceptance 7-20 workdays

Publication:

Accepted papers of the symposium will be published in Applied and Computational Engineering (ACE) (Print ISSN 2755-2721), and will be submitted to Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

Publication info

Title: Applied and Computational Engineering (ACE)
Press: EWA Publishing, United Kingdom
ISSN: 2755-2721 2755-273X (electronic)

This symposium is organized by CONF-MSS 2025 and it will independently proceed the submission and publication process.

* The papers will be exported to production and publication on a regular basis. Early-registered papers are expected to be published online earlier.

Highlights

The symposium titled "Automation and Smart Technologies in Petroleum Engineering" was successfully held at UCSI University. The presentation explores the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML), their evolution, and their applications in the oil and gas industry. AI is introduced as a technology that improves efficiency by automating routine, repetitive, and time-consuming tasks. ML, a subset of AI, enables computers to learn patterns from data and make predictions without explicit programming. A visual representation highlights the hierarchical relationship between AI and ML.

The historical development of AI is outlined, showcasing key milestones such as early rule-based systems, expert systems, and the emergence of deep learning. This evolution has led to widespread AI adoption across industries, including healthcare, finance, and energy. The presentation further discusses the role of ML in the oil and gas sector, emphasizing its application in predictive maintenance, reservoir management, and operational optimization. The ML workflow is described, including data collection, preprocessing, model training, validation, and deployment. AI-driven solutions enhance decision-making, automate workflows, and reduce costs while improving efficiency.

As AI and ML continue to advance, their impact on industries is expected to grow, driving innovation and transforming business operations. Their integration into oil and gas companies highlights the potential for smarter, data-driven solutions in energy management.

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Access to Symposium: CONF-MSS 2025 Symposium -- Kuala Lumpur - YouTube

Ways to Participate

Venue:

1, Jln UCSI, Taman Connaught, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Attend in person:

If you want to attend the symposium on-site, please email sympo_kualalumpur@confmss.org. The symposium seats are limited. Both contributors and non-contributors who wish to participate in the symposium in person need to apply to the symposium organizers.

VISA:

While there are several citizens who can travel to Malaysia visa free, many foreign nationals are required to obtain a tourist visa to enter the country. The Government of Malaysia introduced an electronic visa system on March 2017 to simplify the process of obtaining a visa to travel to and around Malaysia.

The tourist eVisa for Malaysia and the eNTRI online visa were both implemented to promote tourism and encourage foreign nationals to visit this beautiful country.

Citizens of the following eligible countries can easily obtain their Malaysia tourist visa through an online form.

Malaysia Tourist Visa | Malaysia My Visa

What you need to do

Nationals of these countries can apply for their tourist visa from anywhere in the world, except while being in Malaysia or Singapore.

The approved tourist eVisa for Malaysia will be sent to the applicant's email. The traveler can print it out to present upon arrival.

The following documents are also necessary to enter Malaysia:

  • Printed eVisa
  • Valid passport
  • Confirmed return flight reservation
  • Proof of accommodation
  • Sufficient funds for expenses while in Malaysia (credit or debit card/cash/traveler's cheque)

The Malaysia tourist visa holder can stay in Malaysia for a period of up to 30 days. The tourist eVisa for Malaysia also allows multiple entries into the country.

Malaysia Tourist Visa Status Check

All notifications and updates will be sent to the applicant by email. It is therefore absolutely essential that applicants provide a functional email address so that they can be properly kept fully up to date with the application process. The majority of applications for the tourist visa are processed within 1 business day, and as soon as an application has been approved the traveler will be notified immediately.

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