Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Osamah Alomair"'
Publikováno v:
Petroleum Exploration and Development, Vol 50, Iss 4, Pp 934-943 (2023)
This study investigated experimentally the coupled effects of hydrophilic SiO2 nanoparticles (NPs) and low-salinity water (LSW) on the wettability of synthetic clay-free Berea sandstone. Capillary pressure, interfacial tension (IFT), contact angle, Z
Externí odkaz:
https://doaj.org/article/04fc042f7d5145c5800ba32f9f04c9cb
Publikováno v:
Petroleum Exploration and Development, Vol 47, Iss 5, Pp 1091-1102 (2020)
A large data bank of more than 700 gas-condensate samples collected from literature and experiments was established. On this basis, empirical correlations and equations of state commonly used to calculate dew-point pressure (DPP) were evaluated. A ne
Externí odkaz:
https://doaj.org/article/dc1ffe1fd2ca4f07a73c15d2284ccea0
Publikováno v:
Journal of Petroleum Exploration and Production Technology. 13:219-235
The use of nanoparticles (NPs) can considerably benefit enhanced oil recovery (EOR) by changing the wettability of the rock, improving the mobility of the oil drop, and decreasing the interfacial tension (IFT) between oil and water. Prior to the appl
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of Petroleum Science and Engineering. 173:990-1004
Determining the viscosity of heavy crude oil is important in the field of petroleum science, and reservoir simulators are routinely used to achieve this goal. In this study, a new empirical model for predicting heavy-oil viscosity is presented. The m
Autor:
Abdullah F. Alajmi, Osamah Alomair
Publikováno v:
Fuel. 313:122691
The need to minimize in situ heat loss and reduce steam consumption are the main challenges in using steam injection as an enhanced oil recovery (EOR) method for heavy oil. Nanofluids, with their unique thermophysical characteristics, have been succe
Publikováno v:
Journal of Petroleum Science and Engineering. 146:286-296
The dependence of the shear wave velocity ( V s ) of water-saturated reservoir rocks on petrophysical parameters was investigated. Two general regression neural network (GRNN) models were developed to predict V s of sandstones, shaly sands, and carbo
Autor:
Osamah Alomair, Ali A. Garrouch
Publikováno v:
Journal of Petroleum Exploration and Production Technology. 6:351-365
This study introduces a general regression neural network (GRNN) model consisting of a one-pass learning algorithm with a parallel structure for estimating the minimum miscibility pressure (MMP) of crude oil as a function of crude oil composition and
Publikováno v:
SPE Reservoir Evaluation & Engineering. 18:387-399
Summary The application of nanotechnology in the oil industry has become a useful approach in oil production. The main objective of this study is to investigate the effect of nanofluids on the recovery of heavy crude oil compared with waterflooding.