Prediction of sonic log and correlation of lithology by comparing geophysical well log data using machine learning principles

D Joshi, AK Patidar, A Mishra, A Mishra, S Agarwal… - GeoJournal, 2021 - Springer
The well logging technique is used to determine the petrophysical properties like porosity,
permeability and fluid saturations of subsurface formations. However, the conventional way …

Use of machine learning to predict maximum borehole diameter for multi-stage frac completions

MJ AlTammar, K Khan, RT Alfaraj, RA Alidi… - … Conference, 13–15 …, 2023 - library.seg.org
The objective of this paper is to apply machine learning to predict a synthetic caliper log
using available Logging While Drilling (LWD) well logs. LWD logs and wireline (WL) …

An alternative method for sourceless density measurement with boron sleeve gamma detectors

Q Zhang, R Deng, S Zhang, F Zhang, J Liu… - Applied Radiation and …, 2021 - Elsevier
Neutron gamma density measurement using dual gamma detectors (NGD-GD) is a popular
density measurement method. Compared with other NGD methods, the NGD-GD method …

Prediction of Borehole Caliper Log Using Machine Learning for Multi-Stage Frac Completions

MJ AlTammar, K Khan, RT Alfaraj… - ARMA/DGS/SEG …, 2022 - onepetro.org
The objective of this paper is to highlight a new machine learning application to predict a
synthetic caliper log using other available Logging While Drilling (LWD) well logs. LWD logs …

Effect of modeling porous media on the response of gamma-gamma well-logging tool

FS Rasouli, SF Masoudi - Scientific Reports, 2020 - nature.com
The well logging is known as a technique of making petrophysical measurements in the sub-
surface earth formations through a drilled borehole to reach the characterization of the …

[HTML][HTML] A comparison study between the realistic random modeling and simplified porous medium for gamma-gamma well-logging

FS Rasouli - Nuclear Engineering and Technology, 2024 - Elsevier
The accurate determination of formation density and the physical properties of rocks is the
most critical logging tasks which can be obtained using gamma-ray transport and detection …

[HTML][HTML] Does mudcake change the results of modeling gamma-gamma well-logging?

FS Rasouli - Nuclear Engineering and Technology, 2022 - Elsevier
Among the different techniques available, nuclear methods, including gamma-gamma
logging tools, are of special importance. Though the real environment which surrounds the …

[HTML][HTML] Experimental study of the influence of borehole parameters on prompt fission neutron uranium logging and its corrections

P Zhou, B Tang - Nuclear Engineering and Technology, 2024 - Elsevier
In prompt fission neutron uranium logging, borehole environmental parameters affect the
measured results and must be corrected. In order to explore the influence of borehole …

基于微扰理论的伽马-伽马密度测井快速正演方法

陈前, 张锋, 梁启轩, 刁书渊, 田立立, 范继林, 王才志… - 地球物理学报, 2022 - dzkx.org
伽马-伽马密度快速正演结果作为中子和密度联合反演模型的输入, 对实时反演确定地层几何
结构及属性参数具有重要的意义. 基于时间独立的玻耳兹曼输运方程, 结合微扰理论与蒙特卡罗 …

Improvement of the fast simulation of gamma-gamma density well logging measurement

J Liu, C Yuan, S Cai, G Chen, H Tian, Z Liu… - Applied Radiation and …, 2021 - Elsevier
The fast modeling of gamma-gamma density well logging is essential for the inversion
techniques of formation properties, which is usually carried out jointly with other logging …