2021
DOI: 10.1007/s12517-021-07328-4
|View full text |Cite
|
Sign up to set email alerts
|

The role of detrital components in the petrophysical parameters of Paleogene calcareous-dominated hemipelagic deposits

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 55 publications
0
3
0
Order By: Relevance
“…To determine the rock type in a reservoir, it is essential to understand the primary rock properties, such as the mineralogy, texture, grain packing, and other parameters because they influence the petrophysical properties of rocks 10 , 12 , 13 , 17 , 41 , 42 . Lucia's Petrophysical rock classification is a technique used to relate pore size distribution to rock fabric with laboratory measurements of porosity and permeability 43 .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To determine the rock type in a reservoir, it is essential to understand the primary rock properties, such as the mineralogy, texture, grain packing, and other parameters because they influence the petrophysical properties of rocks 10 , 12 , 13 , 17 , 41 , 42 . Lucia's Petrophysical rock classification is a technique used to relate pore size distribution to rock fabric with laboratory measurements of porosity and permeability 43 .…”
Section: Resultsmentioning
confidence: 99%
“…Many authors successfully apply core plug analysis results of porosity and permeability in carbonate and classic environments to quantify the reservoir flow and storage character and determine reservoir quality, e.g. 8 13 . An integrated petrophysical reservoir characterization method that involves core, well logs, and sedimentology helps to improve reservoir description by investigating various rock types that ultimately leads to an enhanced oil recovery 14 – 17 .…”
Section: Introductionmentioning
confidence: 99%
“…Each sample was scraped clean, freeze-dried overnight and crushed by mortar and pestle. Each subsample was analyzed for mass-specific bulk magnetic susceptibility (MS) at Utrecht University with a Multi-Function Kappabridge (MFK1-FA), with values reported in χ. MS values of discrete samples were compared to published highresolution data generated by a Multi Sensor Core Logger (MSCL) at Haifa University (Opuwari et al 2021). To enable comparison with the discrete dataset, values from the MSCL were converted from volumespecific MS to mass-specific MS by dividing by density.…”
Section: Magnetic Susceptibility Analysismentioning
confidence: 99%