Applying artificial intelligent and empirical techniques for prediction of total organic carbon content from wireline data: A case study from Pabdeh Formation in Mansuri oilfield, SW Iran-Reference-Cited by-同舟云学术

Applying artificial intelligent and empirical techniques for prediction of total organic carbon content from wireline data: A case study from Pabdeh Formation in Mansuri oilfield, SW Iran

Published:2021-11-05 Issue:1 Volume:40 Page:1-17
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Alizadeh Bahram¹²^ORCID,Seyedali Seyed Rasoul¹²^ORCID,Zahmatkesh Iman¹^ORCID,Sarafdokht Hashem³^ORCID

Affiliation:

1. Department of Petroleum Geology and Sedimentary Basins, Faculty of Earth Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

2. Petroleum Geology and Geochemistry Research Center (PGGRC), Shahid Chamran University of Ahvaz, Ahvaz, Iran

3. Department of Geology, National Iranian South Oil Company (NISOC), Ahvaz, Iran

Funder

Shahid Chamran University of Ahvaz

National Iranian South Oil Company

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2021.1945626

Reference42 articles.

1. Interaction of the Zagros Fold–Thrust Belt and the Arabian-type, deep-seated folds in the Abadan Plain and the Dezful Embayment,SW Iran

2. Neural network based unified particle swarm optimization for prediction of asphaltene precipitation

3. Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs

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