Zobrazeno 1 - 10
of 181
pro vyhledávání: '"ali kadkhodaie"'
Autor:
Mohammad Ali Davari, Ali Kadkhodaie
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract This study investigates the use of machine learning techniques and the proper selection of input data to estimate permeability in geosciences, using six types of input logs: gamma ray (GR), resistivity (RT), effective porosity (PHIE), densit
Externí odkaz:
https://doaj.org/article/1d1d3bb132f6415ca24e1e6e8e5100c3
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 10, Pp 2703-2734 (2024)
Abstract Previous attempts to classify flow units in Iranian carbonate reservoirs, based on porosity and permeability, have faced challenges in correlating the rock's pore size distribution with the capillary pressure profile. The innovation of this
Externí odkaz:
https://doaj.org/article/27a80b3581ac40308cd4c21cee44cd49
Autor:
Ahadollah Mirshadi, Abdolrahim Javaherian, Mohammad Reza Saberi, Ali Kadkhodaie, Hossein Khoshdel
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 8-9, Pp 2379-2397 (2024)
Abstract Pore types in carbonate reservoirs are more complex than their sandstone counterparts due to the wide spectrum of their depositional environments and their more complicated post-depositional processes. This means that a good knowledge of por
Externí odkaz:
https://doaj.org/article/df2d611a7988497db26fac3bb37d6b30
Autor:
Ahmad Azadivash, Hosseinali Soleymani, Atrina Seifirad, Amirali Sandani, Farshid Yahyaee, Ali Kadkhodaie
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 7, Pp 1859-1878 (2024)
Abstract This study presents a pioneering machine learning approach to continuously model fracture intensity in hydrocarbon reservoirs using solely conventional well logs and mud loss data. While machine learning has previously been applied to predic
Externí odkaz:
https://doaj.org/article/53ac56155ce546609f246e3b383f9a16
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 6, Pp 1331-1347 (2024)
Abstract Overpressure is always considered as a severe problem in the oil industry. Besides creating life risks through serious accidents while drilling, failure to correctly identify high-pressure intervals causes a significant increase in costs and
Externí odkaz:
https://doaj.org/article/d92dd4d2b8794748ad5c7d65ac6a02a7
Publikováno v:
Iraqi Geological Journal, Vol 57, Iss 1C, Pp 1-13 (2024)
Integrated reservoir rock typing in carbonate reservoirs is a significant step in reservoir modelling. The key purpose of this study is the identification of integrated rock types in the Sarvak Formation of an Iranian oilfield. In this study, electro
Externí odkaz:
https://doaj.org/article/191d021b7cbc4b9a9839f7c0c407d155
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 4, Pp 1035-1052 (2024)
Abstract This study aims to analyze in situ stresses and wellbore stability in one of the Iranian gas reservoirs by using well log data, including density, sonic (compressional and shear slowness), porosity, formation micro-image (FMI) logs, modular
Externí odkaz:
https://doaj.org/article/a07a007df6b3434c9fd5b36ca7ef6f19
Publikováno v:
Iraqi Journal of Chemical and Petroleum Engineering, Vol 25, Iss 2 (2024)
The gas-lift method is crucial for maintaining oil production, particularly from an established field when the natural energy of the reservoirs is depleted. To maximize oil production, a major field's gas injection rate must be distributed as efficie
Externí odkaz:
https://doaj.org/article/ae438e64892a4fda8f550f4920e24c56
Publikováno v:
Petroleum Research, Vol 8, Iss 4, Pp 455-468 (2023)
The Upper Cretaceous carbonate successions of the Sarvak Formation host giant oil reservoirs in the Persian Gulf. In this research, a total of 28 oil samples from nine oilfields located in the western, central and eastern parts of the Persian Gulf re
Externí odkaz:
https://doaj.org/article/cb96ba4f84d44e8b83e3a0e72a8ea824
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 13, Iss 12, Pp 2387-2415 (2023)
Abstract The importance of characterizing kerogen type in evaluating source rock and the nature of hydrocarbon yield is emphasized. However, traditional laboratory geochemical assessments can be time-intensive and costly. In this study, an innovative
Externí odkaz:
https://doaj.org/article/eacccb1589a54787baa516738b126954