Results 41 to 50 of about 8,158 (163)

Early deglaciation history of the southeastern Baffin Island shelf (Eastern Canadian Arctic Archipelago)

open access: yesJournal of Quaternary Science, EarlyView.
ABSTRACT During the last glacial period, the Laurentide Ice Sheet (LIS) was the largest terrestrial ice sheet on Earth. Its evolution since the Last Glacial Maximum profoundly influenced Earth's geodynamics and surface processes. Investigating the past dynamics of the LIS provides critical insights into how contemporary ice sheets may respond to ...
Alexis P. Belko   +3 more
wiley   +1 more source

Estimation of Lithofacies Proportions Using Well and Well Test Data

open access: yes, 2006
A crucial step of the two commonly used geostatistical methods for modeling heterogeneous reservoirs : the sequential indicator simulation and the truncated Gaussian simulation is the estimation of the lithofacies local proportion (or probability density)
G. Blanc, L. Y. Hu, B. Noetinger
core   +1 more source

Late Holocene environmental history of Dojran, Macedonia: Investigating the interplay of imperial dynamics and climatic change

open access: yesJournal of Quaternary Science, EarlyView.
ABSTRACT This study presents a high‐resolution, multi‐proxy reconstruction of environmental and land‐use change from Lake Dojran over historical times (last 2500 years), combining pollen, biomarkers, radiocarbon dating, Ottoman taxation records and other historical data.
Alessia Masi   +15 more
wiley   +1 more source

Sample size of specimens from each taxon studied from different lithofacies of the Purisima Formation.

open access: yes, 2014
Abbreviations: Shc, hummocky cross-stratified sandstone lithofacies; Mld, laminated diatomite lithofacies; Mm, massive mudrock lithofacies; Mpm, massive pebbly mudrock lithofacies; Spm, massive pebbly sandstone lithofacies; Ms, massive sandstone ...
James G. Schmitt (534970)   +2 more
core   +1 more source

Lithofacies Classification Using Supervised and Semi-Supervised Machine Learning Approach [PDF]

open access: yes, 2021
The machine learning approach can help Geoscientists do their work in well log analysis to developing the oil and gas field. Prediction categorical or numerical response variable using a set of predictor variables supervises and semi-supervises learning ...
Hardanto, Lilik T.; Department of Computer Science, Binus University, Jakarta, 11530, Indonesia   +1 more
core   +1 more source

Identification of lithofacies and prediction of mineral composition in shales – A case study of the Shahejie Formation in the Bozhong Sag

open access: yesUnconventional Resources, 2022
The identification of shale lithofacies is the basic work of shale gas exploration and development. Accurate quantitative characterization of different mineral components in fine-grained mixed shale is of great significance for the identification and ...
Qinyu Cui   +3 more
doaj   +1 more source

Identification and correlation of the Aso‐3 tephra in the Omaezaki area, central Japan: A valuable key stratum for the MIS 6/5 transition period

open access: yesJournal of Quaternary Science, EarlyView.
ABSTRACT The Aso‐3 tephra is one of the most significant widespread marker layers from the Middle to Late Pleistocene, generated by a large caldera‐forming eruption at the Aso volcano in Kyushu, southwestern Japan. Despite its importance, a distal co‐ignimbrite ash correlative has yet to be clearly identified, primarily because although volcanic glass ...
Toshinori Sasaki   +6 more
wiley   +1 more source

Lithofacies identification of shale formation based on mineral content regression using LightGBM algorithm: A case study in the Luzhou block, South Sichuan Basin, China

open access: yesEnergy Science & Engineering, 2023
Lithofacies form the basis for evaluating shale gas fields and play an important role in gas reservoir enrichment. The accurate identification of shale lithofacies is key for exploration and development. Based on well‐logged data, the accuracy of mineral
Yi Liu   +4 more
doaj   +1 more source

Mortars From Punic and Hellenistic–Roman Solunto: Materials, Formulations, and Technology

open access: yesArchaeometry, EarlyView.
ABSTRACT This study presents an archaeometric investigation of 18 hydraulic rendering and bedding mortars from Punic and Hellenistic–Roman Solunto (NW Sicily). The research aimed to characterize raw materials, reconstruct manufacturing sequences, and evaluate technological proficiency through mineralogical and petrochemical analyses.
G. Montana   +4 more
wiley   +1 more source

Forecast of lacustrine shale lithofacies types in continental rift basins based on machine learning: A case study from Dongying Sag, Jiyang Depression, Bohai Bay Basin, China

open access: yesFrontiers in Earth Science, 2023
Lacustrine shale in continental rift basins is complex and features a variety of mineralogical compositions and microstructures. The lithofacies type of shale, mainly determined by mineralogical composition and microstructure, is the most critical factor
Zhengwei Fang   +6 more
doaj   +1 more source

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