Results 51 to 60 of about 2,290 (232)

Quantitative Insights into Atomic Scale Oil–Clay Adhesion Governing Shale Oil Retention and Mobility

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Atomic force microscopy reveals a clear adhesion hierarchy between shale oil and clay minerals, governed by nanoscale surface chemistry. Strong interactions on chlorite and illite arise from abundant polar sites and cation bridging, whereas weaker coupling on montmorillonite limits interfacial binding.
Chen Lv, Guanwen Lu, Guandong Su
wiley   +1 more source

Seismic Sequence Stratigraphy Applied to Reservoir Recognition and Evolution on Marine Carbonatic Ramp—Macaé Group (Albian to Cenomanian) of Campos Basin

open access: yesGeological Journal, EarlyView.
A classic oil producing interval of the Campos Basin—Macaé Group is revisited through seismic stratigraphic analysis, providing a stratigraphic framework, characteristic depositional and relative time positioning for several complex structural settings.
Renata Alvarenga   +12 more
wiley   +1 more source

VPI-Mlogs: A web-based machine learning solution for applications in petrophysics [PDF]

open access: yes
Machine learning is an important part of the data science field. In petrophysics, machine learning algorithms and applications have been widely approached.
Nguyen, Anh Tuan
core   +1 more source

Modeling Uranium Transport in Koongarra, Australia: The Effect of a Moving Weathering Zone [PDF]

open access: yes, 2001
Natural analogues are an important source of long-term data and may be viewed as naturally occurring experiments that often include processes, phenomena, and scenarios that are important to nuclear waste disposal safety assessment studies.
Hassanizadeh, S.M.   +2 more
core   +1 more source

Monitoring shallow geothermal aquifers with active‐source distributed acoustic sensing: A prognostic feasibility study on the University of Leeds Geothermal Campus

open access: yesNear Surface Geophysics, EarlyView.
Abstract The United Kingdom's shallow aquifers offer significant but underdeveloped geothermal energy resource. Seismic methods can help address this by improving the understanding of aquifer heterogeneity and potentially allowing long‐term monitoring of thermal plumes.
Adam D. Booth   +10 more
wiley   +1 more source

Feldspar Albitization With Implications for Reservoir Quality Evolution of Eocene Turbidite Sandstones in Offshore Espírito Santo Basin, Eastern Brazil

open access: yesJournal of Petroleum Geology, EarlyView.
ABSTRACT The diagenetic albitization of plagioclase and K‐feldspar grains is a transformative process that significantly alters sandstone's detrital composition and formation water chemistry, impacting reservoir quality. In this study, Eocene turbidite sandstones from the offshore Espírito Santo Basin, Brazil, were investigated to elucidate the role of
Eveline E. Zambonato   +2 more
wiley   +1 more source

Integrated Petrophysical Analysis and Reservoir Characterization of Shaly Sands in the Srikail Gas Field, East Central Bengal Basin, Bangladesh

open access: yesEng
This study offers a comprehensive petrophysical evaluation and reservoir characterization of the Srikail Gas Field, situated on the Tripura Uplift in the east-central Bengal Basin.
Shireen Akhter, Nuno Pimentel
doaj   +1 more source

Processes and Patterns of Dolomite Precipitation in Aptian Pre‐Salt Deposits of Santos Basin, Brazil

open access: yesJournal of Petroleum Geology, EarlyView.
ABSTRACT The Aptian pre‐salt lacustrine carbonates represent the most significant oil exploration target along the South Atlantic margin. Dolomitization of the Santos Basin Barra Velha Formation (BVF) is critical for reservoir quality, yet its origin, patterns, and evolution remain poorly understood.
J. T. F. Oste   +3 more
wiley   +1 more source

Methodology to define hydrocarbon potential in a shale reservoir based on geochemical data and well logs

open access: yesCT&F Ciencia, Tecnología & Futuro, 2019
The office U.S. Energy Information Administration (EIA) has suggested significant volumes of hydrocarbon resources in unconventional Shale type reservoirs, which happens to be very interesting nowadays.
Ludy Amparo Gutiérrez - Torres   +4 more
doaj   +1 more source

Machine Learning Approaches for Predicting Total Organic Carbon From Petrophysical Well Logs in the Wufeng–Longmaxi Shale, Southeast Sichuan Basin, China

open access: yesGeoscience Data Journal, Volume 13, Issue 4, October 2026.
This study demonstrates the application of machine learning models—Random Forest, XGBoost, and Multiple Linear Regression—to predict Total Organic Carbon (TOC) from well logs, significantly improving TOC prediction accuracy and reliability across diverse geological settings compared to traditional log‐based methods.
Haseeb Ahmad   +6 more
wiley   +1 more source

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