Wykaz publikacji wybranego autora

Edyta Puskarczyk, dr hab. inż., prof. AGH

profesor nadzwyczajny

Wydział Geologii, Geofizyki i Ochrony Środowiska
WGGiOŚ-kgf, Katedra Geofizyki

  • 2018

    [dyscyplina 1] dziedzina nauk ścisłych i przyrodniczych / nauki o Ziemi i środowisku

[poprzednia klasyfikacja] obszar nauk przyrodniczych / dziedzina nauk o Ziemi / geofizyka

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-5277-0507 orcid iD

ResearcherID: S-3879-2018

Scopus: 34969428500

PBN: 5e709207878c28a04738ed72

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • A new method of pore space segmentation in highly noised micro-CT 3D data applied to Polish shale gas deposits
2
  • A novel approach to the quantitative interpretation of petrophysical parameters using nano-CT: example of Paleozoic carbonates
3
  • Analysis of hydraulic flow parameters in shale gas formations from north Poland
4
  • Analysis of the heterogeneity of the Polish shale gas formations by factor analysis on the basis of well logs
5
  • Application of multivariate statistical methods and artificial neural network for facies analysis from well logs data: an example of Miocene deposits
6
  • Application of multivariate statistical methods for characterizing heterolithic reservoirs based on wireline logs – example from the Carpathian Foredeep Basin (Middle Miocene, SE Poland)
7
  • Applying of the Artificial Neural Networks (ANN) to identify and characterize \emph {sweet spots} in shale gas formations
8
  • Applying the artificial neural network (ANN) to identify and characterize \emph{sweet spots} in shale gas formations
9
  • Applying the Artificial Neural Network to laboratory and well logging data for TOC prediction and well logging data for TOC prediction and model verification using TOC Application (Geo Win)
10
  • Artificial neural network as a tool for pattern recognition and electrofacies analysis in Polish Palaeozoic shale gas formations
11
  • Artificial neural networks as a tool for pattern recognition and electrofacies analysis in Polish palaeozoic shale gas formations
12
  • Classification of Polish shale gas formations from Baltic Basin, Poland based on well logging data by statistical methods
13
  • Combined interpretation of well logs, laboratory results and seismic data in the Miocene sandy-shaly thinly-bedded formation
14
  • Comparative analysis of rock porosity in a selected region in the Carpathians based on laboratory data and well logs
15
  • Comprehensive approach for porous materials analysis using a dedicated preprocessing tool for mass and heat transfer modeling
16
  • Comprehensive approach for porous materials analysis using a dedicated preprocessor tool for mass and heat transfer modelling
17
  • Comprehensive interpretation of the laboratory experiments results to construct model of the polish shale gas rocks
18
  • Comprehensive interpretation of the laboratory experiments results to construct model of the Polish shale gas rocks
19
  • Computed X-ray tomography and geomechanical test in coal bed analysis
20
  • Correlation of nuclear magnetic resonance and mercury intrusion porosimetry data for the best petrophysical parameters estimation in shales and carbonates
21
  • Development of a permeability formula for tight and shale gas reservoirs based on advanced high-precision lab measurement techniques
22
  • Digital rocks – petrophysical analysis of clastic reservoirs
23
  • Dual energy computed tomography (DECT) application in rock core examination
24
  • Dynamic elastic parameters of Jurassic deposits in the Marianowo Anticline (Poland) gas storage site with a CO2 cushion
25
  • Electrofacies as a tool for the prediction of true resistivity using advanced statistical methods – case study