Results 91 to 100 of about 29,750 (257)

The Influence of Microporous Cements on the Pore Network Geometry of Natural Sedimentary Rocks

open access: yesFrontiers in Earth Science, 2019
We investigate the pore network geometry and permeability of six natural sandstones and carbonate rocks. Using 3D microtomographic images, we segment each rock sample into three phases: Solid matrix of grains, macropores containing void spaces, and a ...
Paul-Ross Thomson   +2 more
doaj   +1 more source

4D Seismic Inversion to Changes in Pressure and Saturation Using Deep Learning

open access: yesGeophysical Prospecting, Volume 74, Issue 4, May 2026.
ABSTRACT This study presents a deep learning (DL)‐based 4D inversion approach for estimating dynamic reservoir properties—pressure change, water saturation change and gas saturation change—from 4D seismic data. The workflow reduces reliance on reservoir simulation‐driven static modelling stage in the sim2seis pipelines by using DL‐derived 3D ...
Chean Lin Lew   +2 more
wiley   +1 more source

Deep Groundwater Total Dissolved Solids Mapping in the Dakota Group, Williston Basin, USA

open access: yesGroundwater, Volume 64, Issue 3, Page 335-349, May/June 2026.
Abstract Growing concern about the quantity of available freshwater around the world has led to interest in surveying groundwater total dissolved solids (TDS) below water well depths. Deep TDS has not been systematically mapped, and there is much to learn about the distribution and controls on deeper groundwater. In sedimentary basins across the United
Michael J. Stephens   +3 more
wiley   +1 more source

The brittleness index in hydraulic fracturing [PDF]

open access: yes, 2015
We present a new definition of a brittleness index which is used as a criterion for candidate selection of rock intervals for hydraulic fracturing. The new index is a combination of material strength parameters and insitu stresses. It was derived from an
Atkinson, C, Papanastsiou, P
core  

Evaluation of mineralogy per geological layers by Approximate Bayesian Computation

open access: yes, 2019
We propose a new methodology to perform mineralogic inversion from wellbore logs based on a Bayesian linear regression model. Our method essentially relies on three steps.
Bruned, Vianney   +3 more
core   +3 more sources

Petrophysical properties of rocks and ring morphology of the probable impact Yarva-Varaka structure (Monchegorsk ore area of the Kola Region)

open access: yesVestnik MGTU
The morphology and physical properties (density, longitudinal wave velocities, and elastic anisotropy) of rock samples collected from the surface of the J?rva-Varaka site within the boundaries of the proposed astrobleme have been studied.
Ilchenko V. L.   +2 more
doaj   +1 more source

Methods

open access: yes, 2006
Information assembled in this chapter will help the reader understand the basis for the preliminary conclusions of the Expedition 302 Scientists and will also enable the interested investigator to select samples for further analyses.
Backman, J.   +30 more
core   +1 more source

Reservoir heterogeneity of the sandstone reservoirs within the Pletmos basin, block11a, offshore South Africa [PDF]

open access: yes, 2014
>Magister Scientiae - MScThis study is aimed at illustrating the reservoir heterogeneity in the BCII - BCI interval of the Ga-field, offshore South Africa.
Dominick, Nehemiah Eliezer
core  

Structural features of continental and oceanic lithospphere and their nature

open access: yesГеофизический журнал, 2019
The deep geological and geophysical studies of the continents and oceans have revealed a number of well-defined new regularities in the structure of the crust and upper mantle that do not find a clear explanation in the modern geodynamic concepts.
N. I. Pavlenkova
doaj   +1 more source

Application of HCMM data to regional geologic analysis for mineral and energy resource evaluation [PDF]

open access: yes
Using a thermal-inertia mapping algorithm which provides greater discrimination capability than those in current use, a geologic features was detected in the Cabeza Prieta, Arizona, area.
Miller, S. H., Watson, K.
core   +3 more sources

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