Results 81 to 90 of about 9,505,035 (271)

Petrophysical properties of greensand as predicted from NMR measurements [PDF]

open access: yesPetroleum Geoscience, 2010
ABSTRACT Nuclear magnetic resonance (NMR) is a useful tool in reservoir evaluation. The objective of this study is to predict petrophysical properties from NMR T 2 distributions. A series of laboratory experiments including core analysis, capillary pressure measurements, NMR T 2 measurements and image analysis were carried out on sixteen ...
Hossain, Zakir   +3 more
openaire   +1 more source

New knowledge about shock events that affected the L‐chondrite parent body from two heavily shocked L6 meteorite finds

open access: yesMeteoritics &Planetary Science, EarlyView.
Abstract We report new results from a study of shock‐related features in the L6 ordinary chondrites Northwest Africa (NWA) 4672 and NWA 12841. Our observations confirm the occurrence of eight high‐pressure (HP) minerals in each meteorite, namely, ringwoodite, majorite, akimotoite, wadsleyite, albitic jadeite, lingunite, tuite, and xieite.
I. Baziotis   +5 more
wiley   +1 more source

Towards using seismic anisotropy to interpret ductile deformation in mafic lower crust [PDF]

open access: yes, 2008
The lower crust forms an important geodynamic control in continental tectonics and the communication and coupling of kinematics between surface and deep-Earth processes.
Tatham, Daniel John
core  

Porosity Preservation in Deeply Buried (8500 m) Jurassic Calcareous Mudstones of the Vienna Basin (Austria)

open access: yesTerra Nova, EarlyView.
ABSTRACT Significant porosity of more than 5% was found at depths of more than 8500 m in poorly sorted, calcareous mudstones of the Malmian Mikulov Formation. These overpressured rocks are the main hydrocarbon source rock in the Vienna Basin. Core samples from present‐day depths of 8150 m to 8550 m were analysed using X‐ray diffraction and scanning ...
Susanne Gier   +3 more
wiley   +1 more source

Seismic anisotropy in siliciclastic reservoir rocks [PDF]

open access: yes, 2006
The interpretation of geophysical field measurements of seismic anisotropy is presently limited by our knowledge of the controls of the elastic anisotropy of sedimentary rocks in the subsurface. Traditionally, laboratory ultrasonic velocity measurements
Maddock, Jamie Stewart
core  

Cyclic Thermal Shock‐Induced Permeability Enhancement in Tight Lithologies: Microstructural Controls and Elastic‐Wave Monitoring

open access: yesGeophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Enhanced geothermal systems rely on increasing permeability and pore surface area in rock. Cyclic thermal shocking can achieve both by inducing thermal cracks through repeated rapid cooling. Laboratory experiments subjected micritic limestone, granodiorite, and trachybasalt to up to 10 thermal shock cycles, while tracking crack evolution ...
M. G. Malenda, T. Vanorio
wiley   +1 more source

Modular artificial neural network for prediction of petrophysical properties from well log data

open access: yes, 1996
This paper reports the application of Kohonen's Self-Organizing Map (SOM) and Learning Vector Quantization (LVQ) algorithms, and the commonly used Back Propagation Neural Network (BPNN) to the prediction of petrophysical properties from well log data ...
Wong, K.W.   +4 more
core  

Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis

open access: yesIEEE Access
Petrophysical estimation serves as a critical tool for quantitative interpretation in reservoir characterization, bridging the gap between petrophysical and elastic parameters. Traditional approaches, which rely heavily on rock physics models, often face
Hanming Chen   +5 more
doaj   +1 more source

Digitized Stratigraphic and Geophysical Logs From Deep Boreholes in the 2022 Mw 5.5 Fano‐Pesaro Earthquake Region, Adriatic Sea, Italy

open access: yesGeoscience Data Journal, Volume 13, Issue 3, July 2026.
Legacy borehole documentation from seven deep exploration wells in the Pesaro–Fano offshore area (Adriatic Sea) was digitized into an accessible dataset of stratigraphic and geophysical data. The dataset is openly available in the Zenodo repository and supports future geological and geophysical studies in the Adriatic region and beyond.
Elham Safarzadeh   +3 more
wiley   +1 more source

Modular artificial neural network for prediction of petrophysical properties from well log data

open access: yes, 1997
An application of Kohonen's self-organizing map (SOM), learning-vector quantization (LVQ) algorithms, and commonly used backpropagation neural network (BPNN) to predict petrophysical properties obtained from well-log data are presented.
Wong, K.W., Eren, H., Fung, C.C.
core  

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