Results 71 to 80 of about 1,050 (156)

Estimating capillary pressure from NMR measurements using a pore-size-dependent fluid substitution method [PDF]

open access: yes, 2019
This report introduces a workflow to calculate capillary pressure curves from NMR transverse relaxation time ( T₂ ) distributions of partially hydrocarbon-saturated measurements.
Wang, You
core   +1 more source

Lava deposition history in ODP Hole 1256D : insights from log-based volcanostratigraphy [PDF]

open access: yes, 2010
Author Posting. © American Geophysical Union, 2010. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution.
Alt   +71 more
core   +1 more source

Sand Distribution Modeling of Middle Miocene Reservoir of “East Tarakan a Field†in Eastern Part of Tarakan Island, East Kalimantan [PDF]

open access: yes, 2011
The discovery well with initial name “East Tarakan A-1†was drilled in February 2007 to a total vertical depth of 10,000 feet and encountered gas reservoir in Middle Miocene-age sands with deltaic sediment facies.
Noeradi, D. (D)   +1 more
core  

Water saturation modeling using modified J-function constrained by rock typing method in bioclastic limestone

open access: yesOil & Gas Science and Technology, 2020
Combining both geological and petrophysical properties, a reliable rock typing scheme can be achieved. Two steps are included in rock typing. Step 1: rocks are classified into lithofacies based on core observations and thin sections; Step 2: lithofacies ...
Deng Ya   +6 more
doaj   +1 more source

Integrated reservoir characterization of the Permo-Triassic gas reservoirs in the Central Persian Gulf

open access: yesPetroleum
The upper Dalan and Kangan or Permian-Triassic carbonate formations in the central the Persian Gulf are considered as world's giant gas reservoirs. The primary purpose of this research is to model and evaluate the relationship between hydraulic flow ...
Milad Moradi   +3 more
doaj   +1 more source

Alluvial Architecture and Fluvial Cycles in Quaternary Deposits in a Continental Interior Basin, E Hungary [PDF]

open access: yes, 2004
The thickness of the studied Quaternary alluvial complex, located in the eastern part of the Pannonian Basin System, can exceed 500 m. Based on subsurface facies analysis the following large-scale depositional elements were identified: channel-fill ...
A. Toth-Makk, G. Juhasz, P. Müller
core   +1 more source

Determination of Reservoir Rock Type in Sarvak Reservoir of an Iranian Oilfield

open access: yesIraqi Geological Journal
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.
Vali Mehdipour   +2 more
doaj   +1 more source

Application of Multivariate Statistical Methods and Artificial Neural Network for Facies Analysis from Well Logs Data: An Example of Miocene Deposits

open access: yesEnergies, 2020
The main purpose of the study is a detailed interpretation of the facies and relate these to the results of standard well logs interpretation. Different methods were used: firstly, multivariate statistical methods, like principal components analysis ...
Edyta Puskarczyk
doaj   +1 more source

Subsurface Relationships between the Sebree Trough and Carbonate-Siliciclastic Mixing in the Upper Ordovician Lexington-Trenton and Point Pleasant-Utica Intervals in Ohio, USA, using Multivariate Statistical Well Log Analysis [PDF]

open access: yes, 2022
The Upper Ordovician (lower Katian; upper Chatfieldian-lower Edenian) Lexington-Trenton limestone and Point Pleasant-Utica shale intervals are important subsurface stratigraphic units across Ohio as they are the sources of significant conventional and ...
Bloxson, Julie M.   +2 more
core   +1 more source

Estimation Of Lithologies And Depositional Facies From Wireline Logs [PDF]

open access: yes, 1999
We approach the problem of identifying facies from well logs though the use of neural networks that perform vector quantization of input data by competitive learning. The method can be used in either an unsupervised or supervised manner.
Nebrija, Ed L., Saggaf, Muhammed M.
core  

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