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Abu Dhabi Oil Uses Machine Learning Hydrocarbon Prediction

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Summary

European patent publication EP4182860A1, published April 15, 2026, discloses machine learning-based models for predicting hydrocarbon fluid properties, filed by Abu Dhabi National Oil Company and Abu Dhabi Company for Onshore Petroleum Operations Limited. The patent application covers neural network and deep learning approaches (G06N) applied to petroleum and chemical analysis (G16C, G01N) for hydrocarbon informatics. Multiple inventors are named including MAWLOD, Arwa Ahmed, MOHAN, Richard, GHORAYEB, Kassem, and MUSTAPHA, Hussein.

“HYDROCARBON FLUID PROPERTIES PREDICTION USING MACHINE-LEARNING-BASED MODELS”

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GovPing monitors EPO Patent Bulletin - AI & Computing (G06N) for new telecom & technology regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 86 changes logged to date.

What changed

The EPO Patent Bulletin published application EP4182860A1 for Abu Dhabi National Oil Company and Abu Dhabi Company for Onshore Petroleum Operations Limited, covering machine learning models for hydrocarbon fluid properties prediction using neural networks, deep learning, and chemical informatics methods. The application is classified under multiple IPC categories including G06N (machine learning), G16C (chemical computing), and G01N (petroleum analysis).

Entities monitoring patent activity in the oil and gas sector should note this publication for competitive intelligence on AI applications in hydrocarbon analysis. The designated contracting states cover all major European Patent Convention member states.

Archived snapshot

Apr 26, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← EPO Patent Bulletin

HYDROCARBON FLUID PROPERTIES PREDICTION USING MACHINE-LEARNING-BASED MODELS

Publication EP4182860A1 Kind: A1 Apr 15, 2026

Applicants

Abu Dhabi National Oil Company, Abu Dhabi Company for Onshore Petroleum
Operations Limited

Inventors

MAWLOD, Arwa Ahmed, MOHAN, Richard, GHORAYEB, Kassem, MUSTAPHA, Hussein

IPC Classifications

G16C 60/00 20190101AFI20241220BHEP G01N 33/28 20060101ALI20241220BHEP G06N 20/10 20190101ALI20241220BHEP G06N 20/20 20190101ALI20241220BHEP G16C 20/30 20190101ALN20241220BHEP G16C 20/70 20190101ALN20241220BHEP G06N 3/08 20230101ALN20241220BHEP G06N 5/01 20230101ALN20241220BHEP

Designated States

AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR

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Last updated

Classification

Agency
EPO
Published
April 15th, 2026
Instrument
Notice
Branch
International
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
EP4182860A1

Who this affects

Applies to
Energy companies
Industry sector
2111 Oil & Gas Extraction
Activity scope
Patent filing Machine learning model
Geographic scope
European Union EU

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Oil & Gas Extraction

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