Results 11 to 20 of about 3,287,588 (278)

Evaluating Machine Learning Techniques for Carbonate Formation Permeability Prediction Using Well Log Data

open access: yesIraqi Geological Journal, 2023
Machine learning has a significant advantage for many difficulties in the oil and gas industry, especially when it comes to resolving complex challenges in reservoir characterization.
Usama Alameedy, Ahmed Almomen, Najah Abd
doaj   +1 more source

A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan

open access: yesEnergies, 2021
Defining distinctive areas of the physical properties of rocks plays an important role in reservoir evaluation and hydrocarbon production as core data are challenging to obtain from all wells.
Timur Merembayev   +3 more
doaj   +1 more source

Electro-facies classification based on core and well-log data

open access: yesJournal of Petroleum Exploration and Production Technology, 2023
Facies studies represent a key element of reservoir characterization. In practice, this can be done by making use of core and petrophysical data. The high cost and difficulties of drilling and coring operations coupled with the time-intensive nature of ...
Reda Al Hasan   +3 more
doaj   +1 more source

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

WELL LOG DATA INTERPRETATION PROBLEMS IN WELL, DRILLED USING POLYMER-CLAY-BASED DRILLING MUD

open access: yesИзвестия высших учебных заведений: Нефть и газ, 2017
There was shown the low efficiency of standard well logging sequence for reservoirs identification and de-fining their saturation in the well, penetrating on polymer-clay-based drilling mud the section with high salinity of formation water.
G. E. Stroyanetskaya, E. A. Malykh
doaj   +1 more source

Thermal conductivity from core and well log data [PDF]

open access: yesInternational Journal of Rock Mechanics and Mining Sciences, 2005
18 pages, 9 figure, 3 ...
Hartmann, Andreas   +2 more
openaire   +2 more sources

Prediction of Permeability Using Group Method of Data Handling (GMDH) Neural Network from Well Log Data

open access: yesEnergies, 2020
Permeability is an important petrophysical parameter that controls the fluid flow within the reservoir. Estimating permeability presents several challenges due to the conventional approach of core analysis or well testing, which are expensive and time ...
Baraka Mathew Nkurlu   +5 more
doaj   +1 more source

STRUCTURAL STYLE OF WABI FIELD, OFFSHORE NIGER DELTA NIGERIA, USING SEISMIC AND WELL-LOG DATA [PDF]

open access: yesGeological Behavior, 2023
This study is focused on the interpretation of structural style in Wabi field in the Niger Delta Nigeria using seismic and well log data. From the results, faults and horizons correlated on Wabi wells tied perfectly to reflections on the seismic.
Amakiri, S., Uko, E. D   +1 more
doaj   +1 more source

Petrophysical Properties Estimation of Euphrates Reservoir in Qayyarah Oil Field Using Core and Well Log Data

open access: yesIraqi Geological Journal, 2021
The Early Miocene Euphrates Formation is characterized by its oil importance in the Qayyarah oil field and its neighboring fields. This study relied on the core and log data analyses of two wells in the Qayyarah oil field.
Maan Al-Majid
doaj   +1 more source

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

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