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REAL-TIME GLOBAL RESEARCH

Europe Energy: Oil Services

Published: 2026-06-22Institution: Goldman SachsPages: 22Original language: EnglishEvidence page: 1

Research evidence excerpt

Europe Energy: Oil Services

EQUITY RESEARCH | June 22, 2026 | 5:26AM CEST

EUROPE ENERGY: OIL SERVICES

The AI and Digital transformation in Oil & Gas:

time to market, cost curve and oil service beneficiaries

In this report, we assess how AI, high-performance computing and digitalisation are reshaping the economics and time to market of

global oil & gas projects, drawing on discussions with 15+ digital departments of integrated majors, upstream independents, oilfield

services, seismic providers and digital vendors as well as our proprietary Top Projects analysis. We focus on two main questions about

long-term offshore projects — by how much could AI/digitalisation compress project timelines and how materially could it shift

the economics of new oil developments — at a time when the industry is facing falling reserve life and increasingly complex geology.

We draw five key conclusions:

1. AI/digitalisation together with simplification and standardisation offers the potential to compress the full greenfield deepwater

cycle from 12 years to 7 years (-c.38%) on average. The gains are heavily front-loaded, with 90% of the time saving captured

before FID: exploration -55%, appraisal -40/50% and FEED 40-50%.

2. Post-FID, the benefits become less obvious, as the bottleneck moves to physical fabrication. Construction time could compress

by 5-10% and FPSO fabrication remains at c.4 years, governed by yard capacity, steel and long-lead equipment, with limited

flexibility.

3. Post start-up, we see material benefits from digital twins and predictive maintenance, as well as improved drilling efficiency, with

scope to reduce opex by 10% and improve uptime by 200-300 bp. We also see the benefit of improved near-field exploration

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