Elsa Jordaan – Principal Data Scientist | April 2016

Data Science for LNG Operations

This presentation contains forward looking statements that are subject to risk factors associated with oil and gas businesses. It is believed that the expectations reflected in these statements are reasonable but they may be affected by a variety of variables and changes in underlying assumptions which could cause actual results or trends to differ materially, including but not limited to: price fluctuations, actual demand, currency fluctuations, drilling and production results, reserve estimates, loss of market, industry competition, environmental risks, physical risks, legislative, fiscal and regulatory developments, economic and financial market conditions in various countries and regions, political risks, project delay or advancement, approvals and cost estimates.

All references to dollars, cents or $ in this presentation are to US currency, unless otherwise stated.

References to “Woodside” may be references to Woodside Petroleum Ltd. or its applicable subsidiaries.

Disclaimer and important notice

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Machine Learning

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From https://www.google.com/crisisresponse/images/japanquake2011/translate.png, http://cdn.mos.techradar.com, Frey, C. and Osborne, M. “Technology at Work: The Future of Employment” Oxford Martin School, http://static1.squarespace.com

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About Woodside

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Woodside is an Australian oil and gas company with a global presence, recognised for its world-class capabilities – as an explorer, a developer, a producer and a supplier.

We are Australia’s most experienced LNG operator and largest independent oil and gas company.

Our mission is to deliver superior shareholder returns through realising our vision of becoming a global leader in upstream oil and gas.

Acid Gas Removal

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Production Analytics Platform

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Analytics Data Lake Data Discovery Platform

PHD Science (Shadow)

PHD Scout ExpressLower Node

EC2 / PHD Scout Express Upper Node & PHD XML Slicer

3 million calculations

/ day

2000 records / second

+10Gb / day

70 Mb / min

Cutting edge

architecture

Early adoption of SPARK

Digital Research Assistant

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* From Australian Financial Review, 26 May 2015, "IBM Watson" by Clockready - Own work. Licensed under CC BY-SA 3.0 via Commons - https://commons.wikimedia.org/wiki/File:IBM_Watson.PNG#/media/File:IBM_Watson.PNG, http://www.yourthoughtpartner.com/blog/

Digital Research Assistant

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Woodside FutureLab Hackathon

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Follow Us Online

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