EDBT 2026 Demo / reviewers in the wild / expert
Romulo Alcoleas
dblp:245/2058
· DBLP profile ↗
2ranked-venue papers in the field
0as first author
2since 2021 · last 2024
—ORCID · none
Domains — venue-derived; a paper can count in several
Other / Interdisciplinary · 2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Multiobjective Optimization Model for Regime Adjustment in Crude Oil Productionabstractproduction battery in the oil industry is a set of equipment and facilities used in the initial stages of crude oil processing at an oilfield. At various stages of operation, it may be necessary to restrict or increase its processing capacity, meaning that the gross volume to be received must be adjusted. In remote areas where connectivity and infrastructure may be limited, it is necessary for an operator to approach the well in person to make manual adjustments directly to the pumping system. Proper planning of the well route for adjusting regimes directly impacts the operating costs of the oilfield. In this work in progress, a mixed integer linear programming model for this problem is proposed, by considering the production, operation, and modification restrictions of the pumping regime of each well. Preliminary results are presented, which show that the model can be used in practice. Matias J. Micheletto, Javier Marenco, Romulo Alcoleas, Carlos De Marziani, Rodrigo M. Santos |
CLEI | 3 |
| 2024 | Automatic Assessment of Dirt Roads Based on CrowdsensingabstractUnpaved roads are characterized by rapid deterioration due to erosive weather phenomena as well as the circulation of heavy vehicles. Poor road conditions imply significant costs that impact the productive activities in the surrounding area. Currently, the assessment of road conditions is conducted through visual inspection and, at times, digitization for georeferencing, which is considered a slow and costly process. In this work in progress, we present the development of a data acquisition system using commercial off-the-shelf (COTS) devices, such as mobile phones or embedded systems, to collect georeferenced and timestamped trajectory data. Building on the previously presented processing algorithms and simulations, the implementation of the data capture and tachograph data analysis scheme is detailed. Pablo S. Rosales, Matias J. Micheletto, Carlos De Marziani, Romulo Alcoleas, Javier Askenazi |
CLEI | 4 |