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X-WR-CALNAME:PESA - Energy Geoscience
X-ORIGINAL-URL:https://pesa.com.au
X-WR-CALDESC:Events for PESA - Energy Geoscience
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TZID:Australia/Perth
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TZOFFSETFROM:+0800
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250213
DTEND;VALUE=DATE:20250214
DTSTAMP:20260606T192543
CREATED:20241219T091639Z
LAST-MODIFIED:20250212T023225Z
UID:10008640-1739404800-1739491199@pesa.com.au
SUMMARY:February 2025 Workshop - Good Model: Bad Models – How Can We Tell?
DESCRIPTION: Good Model: Bad Models – How Can We Tell? \nA one-day workshop with Mark Bentley\, 13th February 2025 \nReservoir and simulation models are widely used to generate forecasts and support decision-making in operating companies\, yet the results often disappoint.  Where do models ‘go bad’\, and what can we do to address the disappointments? \n\nFirstly: sometimes we do OK.  There are excellent examples of useful models which help support good development decisions and help move us forward. \nHowever\, there is also a broad tendency towards over-optimism in modelling\, a habit of making forecast ranges which are too narrow and key heterogeneity is often lost in the modelling process\, leading to misleading predictions. \nIn this one-day workshop\, common causes are shared\, along with suggested solutions and\, for those who use or review models\, things to query. \n\nWorkshop will take place at the Parmelia Hilton Hotel\, Perth on the 13th February 2025: \nMembers: $400 \nNon-Members: $500 \nStudent Members: $100
URL:https://pesa.com.au/events/february-2025-workshop-good-model-bad-models-how-can-we-tell/
LOCATION:Parmelia HIlton\, 14 Mill Street\, Perth\, WA\, 6000\, Australia
CATEGORIES:Discussion Forum,Industry,National,WA
ATTACH;FMTTYPE=image/avif:https://pesa.com.au/wp-content/uploads/2024/12/good-models-bad-models-1.avif
ORGANIZER;CN="PESA Western Australia":MAILTO:wa-secretary@pesa.com.au
GEO:-31.9545416;115.8526929
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Parmelia HIlton 14 Mill Street Perth WA 6000 Australia;X-APPLE-RADIUS=500;X-TITLE=14 Mill Street:geo:115.8526929,-31.9545416
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