Session 13. Oral Presentation for: Integrated technologies for flood mitigation: a case study

Presented on 20 May 2026: Session 13 In response to the 2025 Cooper Creek flood, Beach Energy implemented a multitechnology strategy to deliver a timely, coordinated, fit-for-purpose mitigation and response effort. Beach fused the information from remote Pan-Tilt Zoom cameras, drone surveillance and public satellite imagery to a calibrated 2D flood model, all surfaced through Geographic Information System time series overlays that fed into a disciplined decision cadence anchored to existing procedures. Calibrated forecasts consistently landed within ~1–2 days at major nearfield corridors and within ~1 week for distal corridors like the Birdsville track. This predictive decision-making framework led to optimised work fronts throughout the flooding event. It enabled teams to secure assets ahead of the flood’s arrival, reduce the need for routine helicopter inspections, appropriately stockpile supplies, and plan ahead for staged recovery efforts. Altogether, it demonstrated a repeatable response model that supports business continuity and resilience in climate-related disasters. To access the Oral Presentation click ‘Supplementary data’ below. To read the full paper click here

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Publication Details

Journal
Australian Energy Producers journal.
Published
2026-06-18
DOI
https://doi.org/10.1071/ep26537
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Session 13. Oral Presentation for: Integrated technologies for flood mitigation: a case study

Pubudu Gunawardena
Australian Energy Producers journal.
Flood Risk Assessment and Management
article

Session 13. Oral Presentation for: Integrated technologies for flood mitigation: a case study

Pubudu Gunawardena
article en

Abstract

Presented on 20 May 2026: Session 13 In response to the 2025 Cooper Creek flood, Beach Energy implemented a multitechnology strategy to deliver a timely, coordinated, fit-for-purpose mitigation and response effort. Beach fused the information from remote Pan-Tilt Zoom cameras, drone surveillance and public satellite imagery to a calibrated 2D flood model, all surfaced through Geographic Information System time series overlays that fed into a disciplined decision cadence anchored to existing procedures. Calibrated forecasts consistently landed within ~1–2 days at major nearfield corridors and within ~1 week for distal corridors like the Birdsville track. This predictive decision-making framework led to optimised work fronts throughout the flooding event. It enabled teams to secure assets ahead of the flood’s arrival, reduce the need for routine helicopter inspections, appropriately stockpile supplies, and plan ahead for staged recovery efforts. Altogether, it demonstrated a repeatable response model that supports business continuity and resilience in climate-related disasters. To access the Oral Presentation click ‘Supplementary data’ below. To read the full paper click here

Australian Energy Producers journal.Vol. 66(S2)
South Australia Pathology (AU)
Climate action
Openalex Percentile: Top 7%
Flood Risk Assessment and Management
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