Geochemical evaluation and source rock zonation by multi-layer perceptron neural network technique: a case study for Pabdeh and Gurpi Formations-North Dezful Embayment (SW Iran)

Geochemical evaluation and source rock zonation by multi-layer perceptron neural network technique: a case study for Pabdeh and Gurpi Formations-North Dezful Embayment (SW Iran)

Abstract In this study, using a multi-layer perceptron neural network (MLPNN) model, total organic carbon (TOC) and hydrogen index (HI) values for Pabdeh and Gurpi Formations in the oil fields of Naft Sefid (NS-13), Kupal (KL-36, KL-38, and KL-48) and Palangan (PL-2) were calculated in the North Dez...

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Bibliographic Details
Main Authors: Abolfazl Jamshidipour, Mohammad Khanehbad, Maryam Mirshahani, Ali Opera
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Neural network
ANN
Rock–Eval
TOC
Well logs
Pabdeh formation
Online Access:https://doi.org/10.1007/s13202-023-01731-1

Internet

https://doi.org/10.1007/s13202-023-01731-1

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