A data-driven method for total organic carbon prediction based on random forests

A data-driven method for total organic carbon prediction based on random forests

The total organic carbon (TOC) is an important parameter for shale gas reservoir exploration. Currently, predicting TOC using seismic elastic properties is challenging and of great uncertainty. The inverse relationship, which acts as a bridge between TOC and elastic properties, is required to be est...

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Bibliographic Details
Main Authors: Jinyong Gui, Jianhu Gao, Shengjun Li, Hailiang Li, Bingyang Liu, Xin Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Earth Science
Subjects:
total organic carbon
random forests
extended variables
imbalance data
data-driven
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1238121/full

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