<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Inteligencia artificial para la predicción de datos geofísicos y petrofísicos en pozo a partir de diagrafías

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 04 Dec 2023 Spanish Publisher:ZenodoFunded by:EC | PilotSTRATEGY

Authors: Membrado, Inés; Benjumea, Beatriz; Ledo, Juanjo; Mediato, José; Fernández-Canteli, Paula;

doi: 10.5281/zenodo.10257251 , 10.5281/zenodo.10257250

Inteligencia artificial para la predicción de datos geofísicos y petrofísicos en pozo a partir de diagrafías

- Summary
- Metrics

tips_and_updates
Recommended

Related Organizations

Instituto Geológico y Minero de España
Spain
Complutense University of Madrid
Spain

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average