In the shadow of uncertainty: how Norwegian petroleum developers decide to drill, drop, or delay

Petroleum companies are no strangers to uncertainty – technical, economic, and regulatory – even near the end of some drilling project. Should, say, a now-iffy offshore petroleum drilling operation be “dropped”, a decision carrying huge economic consequences? Or should it be delayed until conditions change? How do deciders determine a well’s fate if there is no immediate decision to drill? Drawing on 761 relinquishment reports from the Norwegian Continental Shelf representing decisions by 185 companies, we offer a grounded theory to answer these questions. Deciders, we learned, rarely follow formal processes or rely solely on objective data. Instead, they use experience to sustain momentum, prioritizing what seems sensible in the moment. Grounding our analysis primarily in Social Judgment Theory and Contextualism, we show how uncertainty is interpreted, negotiated, and rendered actionable in early-phase project development. We position this contribution in relation to bounded rationality, sensemaking, and strategic adaptation, offering a sensitizing framework rather than prescriptive tools. Project abandonment emerges not as a self-evident, data-driven outcome but as a subjective, context-sensitive judgment. Uncertainty proves a catalyst for rethinking assumptions, demanding diverse, situation-specific responses.

Authors

Institutions

Publication Details

Journal
Applied Operations and Analytics
Published
2026-08-14
DOI
https://doi.org/10.1080/29966892.2026.2718689
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In the shadow of uncertainty: how Norwegian petroleum developers decide to drill, drop, or delay

Jan-Oddvar Sørnes, Halvard Benjaminsen, Larry Browning
Applied Operations and Analytics
Reservoir Engineering and Simulation Methods
article

In the shadow of uncertainty: how Norwegian petroleum developers decide to drill, drop, or delay

Jan-Oddvar Sørnes, Halvard Benjaminsen, Larry Browning
article en

Abstract

Petroleum companies are no strangers to uncertainty – technical, economic, and regulatory – even near the end of some drilling project. Should, say, a now-iffy offshore petroleum drilling operation be “dropped”, a decision carrying huge economic consequences? Or should it be delayed until conditions change? How do deciders determine a well’s fate if there is no immediate decision to drill? Drawing on 761 relinquishment reports from the Norwegian Continental Shelf representing decisions by 185 companies, we offer a grounded theory to answer these questions. Deciders, we learned, rarely follow formal processes or rely solely on objective data. Instead, they use experience to sustain momentum, prioritizing what seems sensible in the moment. Grounding our analysis primarily in Social Judgment Theory and Contextualism, we show how uncertainty is interpreted, negotiated, and rendered actionable in early-phase project development. We position this contribution in relation to bounded rationality, sensemaking, and strategic adaptation, offering a sensitizing framework rather than prescriptive tools. Project abandonment emerges not as a self-evident, data-driven outcome but as a subjective, context-sensitive judgment. Uncertainty proves a catalyst for rethinking assumptions, demanding diverse, situation-specific responses.

Applied Operations and AnalyticsVol. 2(1)
Austin College (US), Nord University (NO)
Norges Forskningsråd
Climate action
Openalex Percentile: Top 13%
Reservoir Engineering and Simulation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.