VALORACIONES FÍSICO-QUÍMICA MINERALÓGICA DE ROCA SELLO Y NÚCLEOS PARA LA EXTRACCIÓN DE PETRÓLEO
The general objective of this study is to analyze the seal rock, cores and oil. The analytical techniques used for these effects were: Infrared (IR) spectroscopy, to know qualitative and quantitative composition of elements that make up the phases, X-ray
Freya González +2 more
doaj
Atlantis Massif Serpentinization and Life - Expedition 357 of the mission-specific drilling platform from and to Southampton, United Kingdom, Sites M0068–M0076, 26 October – 11 December 2015 [PDF]
Behrmann, Jan H. +4 more
core +1 more source
Data inversion of multi-dimensional magnetic resonance in porous media. [PDF]
Zong F, Liu H, Bai R, Galvosas P.
europepmc +1 more source
Petrophysics of Kerogens Based on Realistic Structures. [PDF]
Alafnan S.
europepmc +1 more source
Numerical simulation study on the effect of temperature on the restricted diffusion in porous media. [PDF]
Xie Z, Xiao L, Luo S, Liao G.
europepmc +1 more source
Present study deals with petrophysical interpretation of Zaur-03 well for reservoir characterization of sand intervals of Lower Goru Formation in Badin Block, Southern Indus Basin, Pakistan.
Mustafa Yar, Syed Waqas Haider, Ghulam Nabi, Muhammad Tufail, Sajid Rahman
doaj
The assessment of reservoir potential of Permian to Eocene reservoirs of Minwal-Joyamair fields, upper Indus basin, Pakistan. [PDF]
Latif MAU +5 more
europepmc +1 more source
ROCKS PETROPHYSICAL PROPERTIES
AbstractThe worldwide increasing energy demand triggered studies focused on defining the underground energy potential even in areas previously discharged or neglected. Nowadays, geological gas storage (CO2 and/or CH4) and geothermal energy are considered strategic for low‐carbon energy development.
Giordano Montegrossi +3 more
openaire +1 more source
From Correlation to Causation: A Petrophysics-Informed Framework for Optimizing Hydraulic Fracturing in Tight Gas Reservoirs. [PDF]
Guo Y, Li Z, Yang F, Huang X.
europepmc +1 more source
Integrating NMR and machine learning for pore-type driven rock classification in the heterogeneous Asmari carbonate reservoirs. [PDF]
Veysi M +5 more
europepmc +1 more source

