Total organic carbon (TOC) prediction using machine learning methods based on well logs data-Reference-Cited by-同舟云学术

Total organic carbon (TOC) prediction using machine learning methods based on well logs data

Published:2022 Issue: Volume: Page:
ISSN:0094-243X
Container-title:THE 2ND UNIVERSITAS LAMPUNG INTERNATIONAL CONFERENCE ON SCIENCE, TECHNOLOGY, AND ENVIRONMENT (ULICoSTE) 2021
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Author:

Wibowo Rahmat Catur,Dewanto Ordas,Sarkowi Muh.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0103209

Reference28 articles.

1. Sachsenhofer RF, Leitner B., Linzer HG, Bechtel A., Ćorić S., Gratzer R., et al. Deposition, erosion and hydrocarbon source potential of the Oligocene Eggerding Formation (Molasse Basin, Austria). Austrian J Earth Sci., 103(1):76–99, 2010.

2. EARLY TOARCIAN SOURCE-ROCK POTENTIAL IN THE CENTRAL HIGH ATLAS BASIN (CENTRAL MOROCCO): REGIONAL DISTRIBUTION AND DEPOSITIONAL MODEL

3. Application of well log analysis for source rock evaluation in the Duwi Formation, Southern Gulf of Suez, Egypt

4. Estimating Total Organic Carbon Content and Source Rock Evaluation, Applying ΔlogR and Neural Network Methods: Ahwaz and Marun Oilfields, SW of Iran

5. Gamma Ray Spectral Evaluation Techniques Identify Fractured Shale Reservoirs and Source-Rock Characteristics

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