Results 101 to 110 of about 8,158 (163)

Modular artificial neural network for prediction of petrophysical properties from well log data

open access: yes, 1997
An application of Kohonen's self-organizing map (SOM), learning-vector quantization (LVQ) algorithms, and commonly used backpropagation neural network (BPNN) to predict petrophysical properties obtained from well-log data are presented.
Wong, K.W., Eren, H., Fung, C.C.
core  

Lithofacies Characteristics of Gulong Shale and Its Influence on Reservoir Physical Properties

open access: yes
The lithofacies characteristics of the Qingshankou Formation (K2qn) shale in the Gulong Depression are crucial for oil exploration and development. This study investigates the K2qn shale lithofacies characteristics and their impact on reservoir physical ...
Yingyi Xie   +6 more
core   +1 more source

Middle Triassic lithofacies of Ivačka glava (Papuk Mt.) and their influence on aquifer : master's thesis

open access: yes, 2012
Na širem području Ivačke glave, vrha Papuka koji se nalazi na području između ponora Uviraljka i izvora potoka Veličanke, terenskim istraživanjem i mikropetrografskom analizom izdvojeno je i definirano pet srednjetrijaskih litofacijesa: (1) Dolomitni ...
Macek, Kornelija
core  

Data-driven machine learning approaches for precise lithofacies identification in complex geological environments

open access: yes
Reservoir characterization is a vital task within the oil and gas industry, with the identification of lithofacies in subsurface formations being a fundamental aspect of this process. However, lithofacies identification in complex geological environments
Muhammad Ali   +6 more
core   +1 more source

Geostatistical Realizations of WMA-C Lithofacies [PDF]

open access: yes, 2015
Zhangshuan Hou   +2 more
openaire   +1 more source

Lithofacies control on deformation bands

open access: yes, 2017
Wakefield, Oliver   +3 more
openaire   +2 more sources

Integrated Workflow on Lithofacies Modeling

open access: yesSPE Middle East Oil & Gas Show and Conference, 2017
Abstract 3D lithofacies modeling is a key step in depositional environment analysis. 1D lithofacies modeling along the wellbore is an essential contributor to the 3D modeling. This paper introduces an integrated workflow from 1D to 3D lithofacies modeling and the application of this workflow in an oil and gas field.
William Li Yunsheng, Radhey S Bansal
openaire   +2 more sources

Grain Association, Petrography, and Lithofacies

open access: yes, 2020
Fil: Gonzalez Tomassini, Federico.
Kietzmann, Diego Alejandro   +2 more
openaire   +3 more sources

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