Results 11 to 20 of about 6,879,798 (323)

Reservoir quality evaluation of the Farewell sandstone by integrating sedimentological and well log analysis in the Kupe South Field, Taranaki Basin-New Zealand

open access: yesJournal of Petroleum Exploration and Production Technology, 2020
The study used the sedimentological and well log-based petrophysical analysis to evaluate the Farewell sandstone, the reservoir formation within the Kupe South Field.
S. M. Talha Qadri   +3 more
doaj   +2 more sources

Petrophysical Well Log Analysis through Intelligent Methods [PDF]

open access: yesSPE Bergen One Day Seminar, 2017
Abstract This work is focused on exploring the applicability of intelligent methods in assessing porosity and permeability in the context of reservoir characterization. The main motivation underlying our study is that appropriate estimation of reservoir petrophysical parameters such as porosity and/or permeability is a key step for in ...
Moghadasi, Leili   +3 more
openaire   +2 more sources

Group Method of Data Handling (GMDH) Lithology Identification Based on Wavelet Analysis and Dimensionality Reduction as Well Log Data Pre-Processing Techniques

open access: yesEnergies, 2019
Although the group method of data handling (GMDH) is a self-organizing metaheuristic neural network capable of developing a classification function using influential input variables, the results can be improved by using some pre-processing steps. In this
Chuanbo Shen   +4 more
doaj   +2 more sources

Prediction of permeability and porosity from well log data using the nonparametric regression with multivariate analysis and neural network, Hassi R’Mel Field, Algeria

open access: yesEgyptian Journal of Petroleum, 2017
Most commonly, to estimate permeability, we can use values of porosity, pore size distribution, and water saturation from logging data and established correlations.
Baouche Rafik, Baddari Kamel
doaj   +2 more sources

Well log data generation and imputation using sequence based generative adversarial networks [PDF]

open access: yesScientific Reports
Well log analysis is significant for hydrocarbon exploration, providing detailed insights into subsurface geological formations. However, gaps and inaccuracies in well log data, often due to equipment limitations, operational challenges, and harsh ...
Abdulrahman Al-Fakih   +4 more
doaj   +2 more sources

Investigations of the pi N total cross sections at high energies using new FESR: log nu or (log nu)^2 [PDF]

open access: yes, 2002
We propose to use rich informations on pi p total cross sections below N= 10 GeV in addition to high-energy data in order to discriminate whether these cross sections increase like log nu or (log nu)^2 at high energies, since it is difficult to ...
A. Firestone   +22 more
core   +1 more source

Asteroseismic surface gravity for evolved stars [PDF]

open access: yes, 2013
Context: Asteroseismic surface gravity values can be of importance in determining spectroscopic stellar parameters. The independent log(g) value from asteroseismology can be used as a fixed value in the spectroscopic analysis to reduce uncertainties due ...
Basu, Sarbani   +6 more
core   +5 more sources

CHARACTERIZATION OF RESERVOIR SANDSTONES USING LOG ANALYSIS TECHNICQUE EXTENDED ELASTIC IMPEDANCE IN FIELD X

open access: yesJurnal Neutrino: Jurnal Fisika dan Aplikasinya, 2018
Extended Elastic Impedance (EEI) Analysis first introduced by Whitcombe (2002) was used for the predicting lithology review and fluid in a hydrocarbon reservoir.
Dhony Widyasandy   +2 more
doaj   +1 more source

Electrofacies in gas shale from well log data via cluster analysis: A case study of the Perth Basin, Western Australia

open access: yesOpen Geosciences, 2014
Identifying reservoir electrofacies has an important role in determining hydrocarbon bearing intervals. In this study, electrofacies of the Kockatea Formation in the Perth Basin were determined via cluster analysis.
Torghabeh Amir   +5 more
doaj   +2 more sources

Prediction of TOC in Lishui–Jiaojiang Sag Using Geochemical Analysis, Well Logs, and Machine Learning

open access: yesEnergies, 2022
Total organic carbon (TOC) is important geochemical data for evaluating the hydrocarbon generation potential of source rocks. TOC is commonly measured experimentally using cutting and core samples.
Xu Han   +5 more
doaj   +1 more source

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