Výsledky vyhledávání - "Rafael Pires de Lima"

Akademický článek

Evaluation of Reservoir Quality and Forecasted Production Variability along a Multi-Fractured Horizontal Well. Part 1: Reservoir Characterization

Autor: Daniela Becerra, Christopher R. Clarkson, Amin Ghanizadeh, Rafael Pires de Lima, Farshad Tabasinejad, Zhenzihao Zhang, Ajesh Trivedi, Roman Shor

Publikováno v: Energies, Vol 14, Iss 19, p 6154 (2021)

Completion design for horizontal wells is typically performed using a geometric approach where the fracturing stages are evenly distributed along the lateral length of the well. However, this approach ignores the intrinsic vertical and horizontal het

Externí odkaz: https://doaj.org/article/bd24e0e5c21c481f91d10ef4d6dd3b9b

Zobrazit plný text záznamu

Akademický článek

Pretraining Convolutional Neural Networks for Mudstone Petrographic Thin-Section Image Classification

Autor: Rafael Pires de Lima, David Duarte

Publikováno v: Geosciences, Vol 11, Iss 8, p 336 (2021)

Convolutional neural networks (CNN) are currently the most widely used tool for the classification of images, especially if such images have large within- and small between- group variance. Thus, one of the main factors driving the development of CNN

Externí odkaz: https://doaj.org/article/281f38d4aaf54dbf9373a43080957237

Zobrazit plný text záznamu

Akademický článek

Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis

Autor: Rafael Pires de Lima, Kurt Marfurt

Publikováno v: Remote Sensing, Vol 12, Iss 1, p 86 (2019)

Remote-sensing image scene classification can provide significant value, ranging from forest fire monitoring to land-use and land-cover classification. Beginning with the first aerial photographs of the early 20th century to the satellite imagery of

Externí odkaz: https://doaj.org/article/b2d9238b6f7e4ef5b92e1fd3dd0f89eb

Zobrazit plný text záznamu

Plný text ve formátu HTML

Decomposing and recovering airborne radiometric data through principal component analysis applied on flight-line data: An alternative to reduce noise

Autor: Adolfo Barbosa da Silva, Rafael Pires de Lima, Karelia La Marca

Publikováno v: Interpretation. :1-44

Airborne gamma-ray spectrometry (AGRS) data provide valuable information about the distribution of radiometric elements on Earths surface. However, the presence of noise can hinder the interpretation or the identification of subtle variations of ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1bb6bc56085c0c309bcf6ba4605975b3
https://doi.org/10.1190/int-2022-0110.1

Zobrazit plný text záznamu

Spatial variability of petrofacies using supervised machine learning and geostatistical modeling: Sycamore Formation, Sho-Vel-Tum Field, Oklahoma, USA

Autor: David Duarte, Rafael Pires de Lima, Javier Tellez, Matthew J. Pranter

Publikováno v: Interpretation. 11:T289-T302

The Sycamore Formation at the Sho-Vel-Tum Field primarily consists of clay-rich mudstones (Mdst) and quartz-rich siltstones. The clay-rich Mdst are mainly composed of clays, quartz grains, some allochems, and detrital organic matter. The siltstones a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91dbbf18af85b030d75c17f8f1a67441
https://doi.org/10.1190/int-2022-0064.1

Zobrazit plný text záznamu

CONVOLUTIONAL NEURAL NETWORKS AS AN AID TO BIOSTRATIGRAPHY AND MICROPALEONTOLOGY: A TEST ON LATE PALEOZOIC MICROFOSSILS

Autor: Katie F. Welch, Rafael Pires de Lima, Gerilyn S. Soreghan, Murphy Cassel, Kurt J. Marfurt, James E. Barrick, Roger Burkhalter

Publikováno v: PALAIOS. 35:391-402

Accurate taxonomic classification of microfossils in thin-sections is an important biostratigraphic procedure. As paleontological expertise is typically restricted to specific taxonomic groups and experts are not present in all institutions, geoscien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96f467faf6d0208c157b77ce0fff6c63
https://doi.org/10.2110/palo.2019.102

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání