Hydrocarbon Evaluation in Real-Time Using Advanced Mudgas Logging: Fast-Tracking Exploration Work

oa Hydrocarbon Evaluation in Real-Time Using Advanced Mudgas Logging: Fast-Tracking Exploration Work
Authors M. Lundberg¹, D. Finken¹, F. Ungar¹ and D.M. Niemann¹
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¹ Equinor ASA
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, IMOG 2023, Sep 2023, Volume 2023, p.1 - 2
DOI: https://doi.org/10.3997/2214-4609.202333217

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2023-09-10

2026-02-09

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References

YangT., AriefI.H., NiemannM., HoubiersM., MeisingsetK.K., MartinsA. & FroelichL. (2019): A Machine Learning Approach to Predict Gas Oil Ratio Based on Advanced Mud Gas Data, SPE-195459-MS, EAGE 2019, London, UK
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Hydrocarbon Evaluation in Real-Time Using Advanced Mudgas Logging: Fast-Tracking Exploration Work

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oa Hydrocarbon Evaluation in Real-Time Using Advanced Mudgas Logging: Fast-Tracking Exploration Work