2020
DOI: 10.21608/joese.2020.158389
|View full text |Cite
|
Sign up to set email alerts
|

Petrophysical evaluation of the Messinian Abu Madi Formation in Salma delta gas field, northeastern onshore Nile Delta, Egypt

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 12 publications
0
0
0
Order By: Relevance
“…Rock-typing is an integrated multi-proxy approach for reservoir characterization and field production optimization that employs geological, petrophysical, and engineering data to better-characterize heterogenous reservoir units and define their potential performance (Guo et al, 2005;Gomes et al, 2008;Al-Farisi et al, 2009;Masalmeh et al, 2012;Skalinski & Kenter, 2014;Nabawy et al, 2018b;Radwan et al, 2021;Barakat, 2022;Nabawy et al, 2022a,b). Most advanced rock typing techniques, such as the 'Winland's R35' method (Pittman, 1992), the reservoir quality index (RQI) determination (Leverett, 1941), and the flow zone indicator (FZI) calculation for flow unit identification, rely on data from core measurements (e.g., Amaefule et al, 1993;El-Sharawya et al, 2020;El-Adl et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Rock-typing is an integrated multi-proxy approach for reservoir characterization and field production optimization that employs geological, petrophysical, and engineering data to better-characterize heterogenous reservoir units and define their potential performance (Guo et al, 2005;Gomes et al, 2008;Al-Farisi et al, 2009;Masalmeh et al, 2012;Skalinski & Kenter, 2014;Nabawy et al, 2018b;Radwan et al, 2021;Barakat, 2022;Nabawy et al, 2022a,b). Most advanced rock typing techniques, such as the 'Winland's R35' method (Pittman, 1992), the reservoir quality index (RQI) determination (Leverett, 1941), and the flow zone indicator (FZI) calculation for flow unit identification, rely on data from core measurements (e.g., Amaefule et al, 1993;El-Sharawya et al, 2020;El-Adl et al, 2021).…”
Section: Introductionmentioning
confidence: 99%