Subsurface Intelligence

Faster Oil & Gas Production Decisions Through Automated History Matching at Full Operational Scale

Our automated software continuously calibrates reservoir models with production data, delivering decision-ready updates in days, not months.

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The Problem

Field development still relies on reservoir models that take 8–12 weeks to history match. This slow, manual workflow contributes to suboptimal well placement, delayed production forecasts, and the ≈30 B USD/year lost globally to suboptimal field development planning.

Our Solution

We automate history matching for your existing reservoir models, using live production data to keep them up to date. Asset teams get reliable forecasts in days instead of months, with quantified uncertainty to support faster, more confident field decisions.

How It Works

Our streamlined three-step process integrates seamlessly with your existing workflows

1

Connect & Prepare Data

Integrate with your existing simulators and production data systems without disrupting current operations.

2

Automated Ensemble Calibration

Our solution continuously assimilates live production data, updating your reservoir models with minimal manual input.

3

Decision-Ready Scenarios

Receive uncertainty-aware, calibrated models ready to support well placement, forecasting, and development planning.

Key Benefits

Transform your reservoir modeling workflow and unlock value

Reduce history-matching cycle time from 8–12 weeks to a few days.

Improve production forecast simulation using continuously calibrated models.

Quantify subsurface uncertainty to reduce development and production risk.

Plug-and-play with existing simulators and data systems, without disrupting current workflows.

Who We Serve

Supporting decision-makers across the oil & gas value chain

National and International Oil & Gas Operators

Independent E&P Companies

Integrated Asset / Reservoir Management Teams

Digital Subsurface, Reservoir Engineering, and Field Development Planning Groups

Meet the Team

Deep expertise in uncertainty quantification, history matching and machine learning

Dr. Joakim Beck

Dr. Joakim Beck

CEO

15+ years of uncertainty quantification research, design optimization, and history matching.

Dr. Zaid Sawlan

Dr. Zaid Sawlan

CTO

8+ years of large-scale history matching for oil & gas reservoir problems.

Proof & Traction

Saudi Aramco Deployment (PEASD)

Integrated our solution with GigaPOWERS™ v9 (billions of cells). Achieved better match on core wells, demonstrating the scalability and effectiveness of our approach at full operational scale.

Seed Funding Award

Rewarded a seed grant of 200,000 SAR from Dhahran Techno Valley (DTV), recognizing our innovation and potential impact in the oil & gas industry.

Get in Touch

Ready to accelerate your reservoir model calibration? Let's discuss how we can help.

Contact Details

General Inquiries

Contact@subsurfaceintel.com

Location

Dhahran Techno Valley, Saudi Arabia