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Opportunities for data scientists and architects in oil and gas

How Malaysia is leading the way with data science and data architecture
Free for a limited period
Dr Lau Cher Han
» UCAN Technologies
Alvin Alexander
» Geo-Technician, Exploration Department
» JX Nippon Oil & Gas Exploration
Jane McConnell
» Industry Consultant - Oil and Gas
» Teradata

Wednesday, October 10, 2018
Kuala Lumpur
ADAX, Bangsar South

The second day of our Kuala Lumpur event brings the Malaysia oil and gas industry together to discuss opportunities for data scientists and other data specialists in the oil and gas industry, (The first day focusses on opportunities for organisations - see the agenda here).

We aim to help explain and further understanding about the complex digital world and where the business benefits are.

Event strategic partner - Malaysia Digital Economy Corporation

Oil and gas companies, like most large organisations in 2018, are working hard to improve their competence working with data. We use the word 'data architect' to mean the person involved in making sure the right piece of information gets to the right place, in the right format for maximum value.

If organisations can improve their profitability through better digital technology (see separate event on the previous day), there should be improved opportunities - employability and salary - for people who develop the necessary skills. This includes skills in different technologies, such as graph databases, analytics and data management, and also domain skills - what is required to build and maintain an effective IT architecture and digital system.

This event is a satellite event of Malaysia Big Data Week on October 2-8 2018

You can see a report from our 2017 forum, with articles published in Digital Energy Journal, here

This forum follows on from our Oct 4 2017 forum "Workforce of the Future". View the agenda view the attendees list


8:30 Welcome coffee
9:20 Karl Jeffery - Editor
Digital Energy Journal
Chairman's introduction

Karl Jeffery is editor of Digital Energy Journal and managing director of Future Energy Publishing, which also publishes Tanker Operator magazine and Carbon Capture Journal. He was previously co-founder and editor of Digital Ship Ltd, a publishing company focussing on IT in the shipping sector. He has a BEng in chemical engineering from Nottingham University

Digital Energy Journal
Founded in 2006, Digital Energy Journal is the world's leading magazine for digital technology in the upstream oil and gas industry, covering developments in exploration, drilling and production, covering IT infrastructure, software, automation and people. We produce 6 issues per year, distributed by print and pdf, and an e-mail newsletter every Friday
9:30 Dr Lau Cher Han -
UCAN Technologies
Skills and development pathways for the energy sector

Watch Video     View PDF   
Dr. Lau is a chief data scientist, keynote speaker and consultant in data science, analytics and big data. He has rained major companies, organizations, and government agencies across Australia, Malaysia, Taiwan and other ASEAN countries.

He has trained and advised many of the organizations including Standard Chartered, Intel, and Jabil. Dr. Lau has also been invited as keynote speaker in many of the data science and big data events, such as Microsoft Azure Global Bootcamp, Johor Corporation CIO circles.

As a member of the expert panelist in Malaysia Qualifications Agency (MQA), Dr. Lau provides accreditation to ensure the curriculum of universities meets the requirements and modern trend. He is also appointed by universities and government
agencies including MDEC and state governments as Industrial Advisory Panel to develop the blueprints and strategies on a
national level.

UCAN Technologies

10:00 Alvin Alexander - Geo-Technician, Exploration Department
JX Nippon Oil & Gas Exploration
Practical scripting ideas for data managers with Python

View PDF   
Talk Description.
- Actual experience and concrete real examples
- automating mundane and boring tasks
- Deciding when to automate and when to use manual - my rule of thumb
- Value in time saving
- Friendly tools which can be used with Python
NOEX is involved in a wide range of oil and natural gas projects around the world. We are actively seeking new prospects and working to develop breakthrough technologies to ensure a sustainable future for the energy industry.
11:00 Coffee
11:20 Jane McConnell - Industry Consultant - Oil and Gas
Implementing an Enterprise Data Management strategy in Oil and Gas

Watch Video     View PDF   
Talk Description.
Search on the web, and you’ll find a lot of information on implementing a data strategy for the Enterprise. If you work for a retailer, or a financial institution, that information will be a great help. If, however, you work in an oil company, the data management needs are a bit more complex. We’ll highlight the additional needs in oil and gas, and propose strategies for implementing a data management organisation that unites subsurface, topside and business data.
An experienced Information Management consultant with excellent analytical skills, Jane has focused on Information Management in Upstream Oil and Gas since 2000.
With many years of experience inside Landmark and Schlumberger Information Solutions, Jane has had exposure to most O&G software applications and data management strategies, and has detailed knowledge of the current IM offerings in the Oil and Gas space.
A desire to bring the best of modern data management tools and technologies into Upstream Oil and Gas triggered Jane's move to Teradata, the leaders in Enterprise Data Warehousing.

Teradata helps companies get more value from data than any other company. Our big data analytics solutions and team of experts can help your company gain a sustainable competitive advantage with data. Teradata helps organizations leverage all of their data so they can know more about their business and do more of what's really important. With more than 10,000 professionals in 43 countries, Teradata serves top companies across oil and gas, utilities, automotive, financial services, healthcare, communication, sconsumer goods, and more. A future-focused company, Teradata is recognized by industry analysts for technological excellence, sustainability, ethics, and business value. Visit
11:50 Manoj Goel - Director
Reliable Business Technologies Sdn Bhd (RBT)
Case study: using machine learning to extract data

View PDF   
Talk Description.
- Return on investment comes from much faster document processing, fewer errors, manpower reduction.
- Project for a major UK oil and gas engineering company
- Aim to develop a spreadsheet of 'metadata' from the drawings, such as types of valves and pipes, properties of each component, connectivity on the engineering drawing. Start point and end point of pipelines
- Using image processing, deep neural network models, including Google's "Tensorflow". The model is trained with various labelled engineering components and Tensorflow can detect them even if they are scaled or rotated.
- People were involved in final evaluations and where tool is unable to generate data
We are predominantly a Software Systems Integrator. Our USP is our exceptional technical strength to build and deliver enterprise grade complex large scale systems around rugged and stable architectures.

Even though a young company, Reliable has evolved from a pure software services company to one that has its domain specific solutions too. Reliable's accomplishments with its software applications have contributed to the success of many a client.
12:20 Panel discussion with all morning speakers
13:00 Lunch and close
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