Enterprise & Industry · slb.com
SLB
6 verified customer use cases (67% with quantified ROI · Avg Value Score 55.7 · 33% with mapped architecture components).
- Verified stories
- 6
- Quantified ROI
- 67%
- Avg value score
- 55.7
- Industries served
- 1
- Distinct products
- 5
Top use cases: Filter in Explorer →
Architecture Stack Signature
6-Layer Production Component Breakdown
DrillOps 1 DrillPilot 1 DrillPlan 1
digital solutions from SLB 1
Product & Model Ecosystem
Most Deployed Products & Co-occurring Pairs
Top named products & AI models
DrillOps 1 DrillPilot 1 DrillPlan 1 Neuro 1 digital solutions from SLB 1
Adoption Footprint
Sector, Region & Organization Scale
Top adopting industries
Geographic footprint
- Middle East & Africa 3 (50%)
- Asia-Pacific 1 (17%)
- Europe 1 (17%)
- Global / Multi-region 1 (17%)
Organization scale
- Enterprise 6 (100%)
Verified Business Impact
Outcome Categories & Customer ROI Proof
Primary outcome drivers
SLB Sample Aug 4, 2026 ADNOC ADNOC needed to improve performance across a large upstream drilling fleet and operationalize AI at rig scale rather than in isolated pilots. over 120 drilling rigs SLB Sample Jul 29, 2025 Eni Eni wanted to improve drilling efficiency, consistency, and safety in well planning and offshore drilling operations by defining better operating limits and reducing rework, human error, and hazardous rig-floor exposure. 1,224 meters per day DrillOps · DrillPilot · DrillPlan SLB Sample Jan 31, 2024 Dragon Oil Dragon Oil needed to enhance planning and operational performance in a mature offshore field. SLB Sample Jan 31, 2024 Petoro Petoro needed to improve mature-field development and well placement decisions on the Norwegian Continental Shelf while dealing with more than 1,000 sidetrack opportunities per field, low-quality data, and no unified… over 1,000 sidetrack opportunities per field digital solutions from SLB SLB Sample Jan 31, 2024 OMV OMV sought to increase efficiency across its global operations using AI-enabled digital capabilities. SLB Sample Oct 22, 2022 Pertamina Hulu Mahakam Pertamina Hulu Mahakam needed to reduce the time required for property modeling. property modeling time from 4 weeks to 4 days