Application of extreme learning machine and neural networks in total organic carbon content prediction in organic shale with wire line logs

X Shi, J Wang, G Liu, L Yang, X Ge, S Jiang - Journal of Natural Gas …, 2016 - Elsevier
Total organic carbon (TOC) is a critical parameter for source rock characterization in shale
gas reservoirs. In this work, the use of extreme learning machines (ELM) for predicting TOC …

地层有机碳含量测井评价方法综述

袁超, 周灿灿, 胡松, 程相志, 窦洋 - 地球物理学进展, 2014 - dzkx.org
非常规油气逐渐成为我国油气勘探的重要领域, 其" 源储一体" 的特性使得对源岩特别是有机碳
含量的连续定量评价尤为关键. 利用岩心分析数据可获得精确的有机碳含量信息 …

页岩油测井评价方法及其应用

张晋言 - 地球物理学进展, 2012 - dzkx.org
目前页岩油气勘探已逐渐成为国内寻找油气资源的重要领域. 页岩油赋存方式和储集空间的多样
性, 复杂性及勘探的隐蔽性, 导致利用测井信息对其认识和评价较为困难, 现在页岩油气测井评价 …

Hydrocarbon source rock evaluation and quantification of organic richness from correlation of well logs and geochemical data: A case study from the sembar formation …

H Aziz, M Ehsan, A Ali, HK Khan, A Khan - Journal of Natural Gas Science …, 2020 - Elsevier
Abstract Sembar Formation of Cretaceous encountered in Khajari-01 and Miran-01 wells,
which are located in the Southern Indus Basin (SIB), Pakistan. Total organic carbon (TOC) …

Effective machine learning identification of TOC-rich zones in the Eagle Ford Shale

A Amosu, M Imsalem, Y Sun - Journal of Applied Geophysics, 2021 - Elsevier
Successful hydrocarbon production in the Eagle Ford relies on technological advances such
as directional geosteering, horizontal drilling, and hydraulic fracturing, as well as the …

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

SA Chan, AM Hassan, M Usman, JD Humphrey… - Journal of Petroleum …, 2022 - Elsevier
This study develops a new artificial neural network (ANN) model for predicting the total
organic carbon (TOC) of an organic-rich carbonate mudstone formation using conventional …

Interpretation of well logs and core data via Bayesian inversion

T Deng, J Ambía, C Torres-Verdín - Geophysics, 2023 - library.seg.org
Estimating in situ petrophysical and compositional properties of rocks (eg, porosity,
mineralogy, and fluid saturation) from well logs and core measurements is critical for the …

A novel approach to total organic carbon content prediction in shale gas reservoirs with well logs data, Tonghua Basin, China

P Wang, S Peng, T He - Journal of Natural Gas Science and Engineering, 2018 - Elsevier
As a geochemical parameter for characterizing source rock in shale gas reservoirs,
estimation of total organic carbon (TOC) is a main task of geophysical and geochemical …

Selection of sensitive post-stack and pre-stack seismic inversion attributes for improved characterization of thin gas-bearing sands

U Shakir, A Ali, M Hussain, T Azeem… - Pure and Applied …, 2022 - Springer
The mapping and characterization of thin gas sand layers have always been a challenge
through conventional seismic interpretation procedures. Seismic inversion techniques have …

Determination of total organic carbon content in shale formations with regression analysis

J Wang, D Gu, W Guo, H Zhang… - Journal of Energy …, 2019 - asmedigitalcollection.asme.org
By correcting both the positive and negative Δ log R separation resulting from the resistivity
in organic-deficient shales, the traditional Δ log R correlation is modified, validated, and …