Easily accessible for on-prem Petrel users
AI from Delfi is available in Petrel on-prem
As part of our ongoing investment and commitment to Petrel software we are now bringing machine learning (ML) solutions from the Delfi platform to our on-prem Petrel users, to provide new levels of performance in their day-to-day work.
AI from the Delfi digital platform is available in Petrel subsurface software for on-premise users.
Advanced solutions for your digital journey
As companies progress along their digital journeys, SLB is enabling a broader range of solutions to companies with on-prem and hybrid cloud strategies.
This includes our existing On Demand Reservoir Simulation service which leverages high performance compute (HPC) on the cloud, to this latest addition of machine learning for horizon, fault and property modeling.
What we are delivering in 2023
Seismic fault detection and extraction
Seismic horizon detection and extraction
Property modeling
Read more
AI leading the way for a performance revolution at scale
Olfa Zened, business development manager DSS MENA, discusses the potential of AI and machine learning solutions to ignite a performance revolution. With AI built by geoscientists for geoscientists, now available both on prem in Petrel subsurface software and on the cloud as part of the Delfi digital platform.
AI leading the way for a performance revolution at scale
Olfa Zened, business development manager DSS MENA, discusses the potential of AI and machine learning solutions to ignite a performance revolution.
Experience acceleration while staying on-premise
Inpex leaders discuss the digital transformation of E&P
Accelerating exploration with machine learning
“…over two to three months of a couple of geoscientists’ workload, reducing to one week”
- Inpex
“Thanks to SLB’s team, Delfi, and AI/machine-learning solutions, we were able to successfully produce optimized field development plan for all of our assets, both faster and with higher confidence.”
—Ali Al Jarwan,CEO, Dragon Oil (Holdings) Ltd
Dive deeper
Pertamina Hulu Mahakam utilizes machine learning to reduce property modeling time
Pertamina Hulu Mahakam (PHM) utilizes machine learning to reduce time and improve the accuracy of 3D property modeling in its upstream operations.
Machine learning-assisted fault interpretation on large carbonate field
Part of an integrated multi-disciplinary digital excellence initiative at ADNOC, ML-assisted fault interpretation seeks to overcome operational bottlenecks.
Helpful links
About SLB