Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data-Reference-Cited by-同舟云学术

Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data

Published:2022-01 Issue: Volume:208 Page:109302
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Chan Septriandi A.^ORCID,Hassan Amjed M.,Usman Muhammad^ORCID,Humphrey John D.^ORCID,Alzayer Yaser^ORCID,Duque Fabian^ORCID

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference71 articles.

1. Sweet spot” identification and optimization in unconventional reservoirs;Aldrich,2018

2. Mo-total organic carbon covariation in modern anoxic marine environments: implications for analysis of paleoredox and paleohydrographic conditions;Algeo;Paleoceanography,2006

3. Paleoceanographic applications of trace-metal concentration data;Algeo;Chem. Geol.,2012

4. Artificial neural network modeling and cluster analysis for organic facies and burial history estimation using well log data: a case study of the South Pars Gas Field, Persian Gulf, Iran;Alizadeh;Comput. Geosci.,2012

5. Mineralogical composition and total organic carbon quantification using x-ray fluorescence data from the Upper Cretaceous Eagle Ford Group in southern Texas;Alnahwi;Am. Assoc. Petrol. Geol. Bull.,2019

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