Lessons from a Petrophysicist’s Experiences in Machine Learning
Martin Storey, Well Data QA
Data science, analytics, machine learning are industry flavours of the day but are nothing new to petroleum geoscientists, in particular to petrophysicists who have been using them for the past three decades at least. Being involved and largely responsible for the selection, acquisition, quality control, exploitation and management of well data, petrophysicists are their organisation’s well data experts.
The current data hype should therefore place them at the epicentre of the on-going digital transformation and bring them more opportunities and recognition in their organisation. Yet “there seems to be something of a disconnect between executive management and employees in expectations for digital technology - with managers expecting big gains, but employees more aware that the benefits are rarely meeting expectations” according to a recent report by analyst company Wood Mackenzie1.
Martin will share observations from his personal experiences around machine learning, to clear some of this confusion (perhaps) and to trigger interesting conversations (hopefully).
This presentation is aimed at a wide audience, including managers in the process of fast-tracking the promotion and exploitation of data in their organisation, young professionals looking for extra-curricular skills, and all industry professionals wondering about the significance of the current hype.
About the Presenter:
Martin Storey is a petroleum engineer with an academic background in mathematical and computer sciences. He has a particular expertise in petrophysics and well data, acquired by working on rigs, operations and study groups, and classrooms internationally. An independent petrophysicist, he is also the founder of Well Data Quality Assurance, a company that helps upstream organisations optimise the value of their oilfield data. He is an active member of many societies including FESAus/SPWLA, the Professional Petroleum Data Management Association (PPDM), and SARF.
Tell your colleagues about this event with the flyer!
As every month, this event includes a sit-down buffet lunch. Please let us know ahead of time if you have any dietary requirement.
|FESAus 2020 Member (late bird, inc. GST)||$ 40.00|
|Non-Member (late bird, inc. GST)||$ 50.00|
|Retiree/Student (late bird, inc. GST)||$ 20.00|