Results 11 to 20 of about 1,086 (169)

Integrating NMR and machine learning for pore-type driven rock classification in the heterogeneous Asmari carbonate reservoirs [PDF]

Scientific Reports
The Asmari Formation’s complex heterogeneity presents fundamental challenges for reservoir characterization, where conventional lithology-based methods inadequately capture dynamic fluid behavior and pore-scale productivity controls.
Maryam Veysi, Ali Kadkhodaie, Mehran Arian, Mohsen Aleali, Zahra Maleki, Pooria Kianoush   +5 more
doaj   +2 more sources

Electrofacies Characterization of an Iraqi Carbonate Reservoir

Iraqi Journal of Chemical and Petroleum Engineering, 2014
Predicting peterophysical parameters and doing accurate geological modeling which are an active research area in petroleum industry cannot be done accurately unless the reservoir formations are classified into sub-groups.
Dahlia Abdulhadi Abdulateef, Ahmed Zarzor, Mohammed S. AL Jawad   +2 more
doaj   +2 more sources

A comparative study of 3D FZI and electrofacies modeling using seismic attribute analysis and neural network technique: A case study of Cheshmeh-Khosh Oil field in Iran

Petroleum, 2016
Electrofacies are used to determine reservoir rock properties, especially permeability, to simulate fluid flow in porous media. These are determined based on classification of similar logs among different groups of logging data.
Ali Sanati
exaly   +3 more sources

A new approach to predict carbonate lithology from well logs: A case study of the Kometan formation in northern Iraq [PDF]

Heliyon
Understanding the spatial variation in lithology is crucial for characterizing reservoirs, as it governs the distribution of petrophysical characteristics.
Hussein S. Hussein, Howri Mansurbeg, Ondřej Bábek   +2 more
doaj   +2 more sources

Committee Machine Learning for Electrofacies-Guided Well Placement and Oil Recovery Optimization

Applied Sciences
Electrofacies are log-related signatures that reflect specific physical and compositional characteristics of rock units. The concept was developed to encapsulate a collection of recorded well-log responses, enabling the characterization and ...
Adewale Amosu, Dung Bui, Oluwapelumi Oke, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Najmudeen Sibaweihi, William Ampomah   +6 more
doaj   +2 more sources

ANALYSIS OF THE POROSITY PARAMETER USING ELECTROFACIES AND TYPE OF CLAY

Известия высших учебных заведений: Нефть и газ, 2017
The article is devoted to the researches in porosity parameter variability depending on the facial conditions of sedimentation and the type of clay. The object of the researches is BV1 layer in one of the deposits of Western Siberia.
N. A. Aipov, M. M. Aliev, S. R. Bembel, G. V. Kazantsev   +3 more
doaj   +3 more sources

Electrofacies Characterization in Lacustrine Coquinas and Hybrid Deposits from Rift Phase: Pre-Salt, lower Cretaceous, Campos Basin, Brazil [PDF]

Anuário do Instituto de Geociências, 2019
Esse estudo apresenta modelos de eltrofácies para dois poços com testemunhos e amostras laterais da Formação Coqueiros, Cretáceo inferior da Bacia de Campos.
Vinicius Carbone Bernardes de Oliveira, Felipe Vasconcelos dos Passos, Carlos Manuel de Assis Silva, Leonardo Borghi   +3 more
doaj   +4 more sources

Electrofacies in gas shale from well log data via cluster analysis: A case study of the Perth Basin, Western Australia

Open Geosciences, 2014
Biswajeet Pradhan, Reza Rezaee, Reza Moussavi Harami   +2 more
exaly   +2 more sources

Formation evaluation and rock type classification of Asmari Formation based on petrophysical- petrographic data: A case study in one of super fields in Iran southwest

Petroleum, 2023
The Oligo-Miocene Asmari Formation is one of the most important hydrocarbon reservoirs in the Middle East. The oilfield under study is one of the largest oilfields in the Zagros basin with the Asmari Formation being the major reservoir rock.
Raeza Mirzaee Mahmoodabadi, Sadegh Zahiri   +1 more
doaj   +1 more source

Microfacies analysis of the Palaeocene Lockhart limestone on the eastern margin of the Upper Indus Basin (Pakistan): Implications for the depositional environment and reservoir characteristics

The Depositional Record, Volume 9, Issue 1, Page 152-173, February 2023., 2023
The Lockhart Limestone represents a deepening upward sequence deposited underneath the shelf margin system tract and highstand systems tract in a regressive environment that could reflect good reservoir characteristics, has the potential to serve as an excellent hydrocarbon reservoir rock, and could be a primary target for future hydrocarbon ...
Ahmer Bilal, Renchao Yang, Hammad Tariq Janjuhah, Muhammad Saleem Mughal, Yang Li, George Kontakiotis, Nils Lenhardt   +6 more
wiley   +1 more source