Digital Twin Engineering – From Concept to Deployment in Oil & Gas Operations – Virtual Instructor Led Training (VILT)

This VILT course will equip participants with an understanding of:

• Master Digital Twin fundamentals and architecture in Oil & Gas, including core concepts, system design, industry standards, integration requirements, and business value considerations for comprehensive implementation strategies.
• Develop advanced AI and analytics solutions through the implementation of machine learning, deep learning, and hybrid models for real-time monitoring, predictive maintenance, process optimization, and equipment inspection systems.
• Engineer robust data processing systems by designing scalable collection frameworks, real-time pipelines, and implementing effective preprocessing techniques while ensuring data quality management and security protocols.
• Deploy and optimize production systems through cloud and edge deployment strategies, incorporating comprehensive testing frameworks, performance optimization, and establishing monitoring and disaster recovery protocols.
• Deliver industrial Digital Twin projects by implementing complete solutions for Oil & Gas applications, integrating with existing infrastructure, managing risks, and establishing continuous improvement frameworks for long-term sustainability.

This VILT course is designed for the following professionals in the oil and gas sector:

• Oil and Gas industry professionals seeking to transition into digital transformation roles
• Data scientists and ML engineers working in industrial settings
• Process, maintenance and operations engineers interested in implementing Digital Twin solutions
• Technical managers overseeing digital transformation initiatives
• Industrial IoT specialists and system integrators

Prerequisites for attending this VILT course, participants should have the following:

• Basic understanding of oil and gas industry operations and terminology
• Working knowledge of Python programming language
• Fundamental understanding of data analysis and statistics
• Basic knowledge of machine learning concepts
• Familiarity with industrial control systems and sensor data (preferred but not required)
• Experience with any cloud platform (AWS, Azure, or GCP) is beneficial but not mandatory

• Intermediate
• Advanced

The learning method for this course is an intensive, hands-on approach. It combines theoretical foundations with practical implementation, real-world case studies, and collaborative learning. Participants engage with open-source tools, real-world datasets, template code, and frameworks to gain practical experience and expert guidance at each stage.

About your Expert VILT Instructor

Your expert instructor has 14 years of experience in the Oil and Gas industry as a geophysicist processing and interpreting seismic data. More than 11 years of software development experience with SAS Institute, Inc., a leader in statistical software and analytics solutions. Ten years of upstream Oil and Gas data-driven model building across Exploration and Production. Currently developing business strategies to establish Analytical Centres of Excellence and data management architectures across the Oil and Gas industry.

Education:

1983: BSc.: Geology and Mathematics; 1995: Master’s Degree Geophysics and Seismology; Durham University, England, UK

Career Summary: 

August 2012 – Advisory Industry Consultant

Member of the Global Evolving Solutions Energy practice to drive innovative O&G solutions and products built on advanced analytical methodologies. Developing specialized tools and applications based on data-driven models to study disparate subsurface data across multiple engineering silos. Contributing to access engines’ development to enable data maintained in historians and standard upstream data models and formats. Advising O&G operators to optimize an architecture for a Center of Excellence.  Educating O&G operators and service companies in Machine/Deep Learning methodologies

September 2007 – August 2012 SAS Institute Inc. Principal Solutions Architect

Develop business opportunities for SAS Global Oil and Gas Business Unit that align advanced analytics from Exploratory Data Analysis and predictive models to subsurface reservoir characterization and drilling/production optimization in conventional and unconventional fields. Providing pre-sales and sales support across global O&G accounts. Presenting technical papers at industry conferences.  Liaising with O&G engineering groups as a domain expert.

September 1997 – September 2007 SAS Institute Inc. Principal Software Developer

Team member in Research and Development for the design and coding of middle-tier software for essential analytical products; graphics and visualization; data modeling; and technical writing. Researched Java Virtual Machines to optimize the Garbage Collection and memory management across a suite of Java applications. Represented SAS Institute on Java (J2SE) board for a new specification of Virtual Machines. Presented papers on Garbage Collection. Amplified company brand and visibility in business and scientific communities

January 1992 – September 1997 PGS Tensor, Houston Senior Geophysicist

Team member in seismic processing and velocity analyses to ascertain improved reservoir characterization and production optimization. Generated seismic attributes from pre- and post-stack data sets for soft computing workflows: Multivariate Analysis, Principal Component Analysis, Neural Networks, Fuzzy Logic, and Genetic Algorithms. Revived and modernized analytical methodologies to integrate seismic into workflows with disparate upstream datasets. Seismic processing and interpretation on a vibroseis field crew.

September 1984 – January 1992 Petroleum Development Oman Senior Geophysicist

Processed and interpreted seismic land and marine 2D and 3D data. In reservoir characterization, team members determine rock properties from seismic attributes via statistical analysis. Managed R&D development team:  functional requirements for a new generation seismic processing system and testing geophysical and geologic algorithms. Member of special studies group mandated maximizing well placement, optimizing production, and artificial lift techniques.

August 1982 – September 1984 ARCO and BP Consultant, Dubai Geophysicist

Interpreted seismic land and marine data and led a team mandated to map seismic attributes to reservoir properties implementing advanced analytical methodologies. Evolved a suite of analytical workflows to address data management, quantification of uncertainty, and risk assessment across the E & E&P value chain.

October 1979 – August 1982 Geophysical Services Inc. Staff Geophysicist

Member of a seismic data processing group responsible for generating pre- and post-stack 2D profiles. Managed noise analysis team; Developed Leaky Noise Analysis workflows, Evolved soft computing technologies to model coherent noise trains, and Performed FFTs to study velocity.

Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.

In our ongoing commitment to sustainability and environmental responsibility, we will no longer providing hard copy training materials. Instead, all training content and resources will be delivered in digital format. Inspired by the oil and energy industry’s best practices, we are leveraging on digital technologies to reduce waste, lower our carbon emissions, ensuring our training content is always up-to-date and accessible. Click here to learn more.

To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information post training support and fees applicable