production 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.

Unpaved 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.

Internet of Things (IoT) is a technology that serves as the basis for smart environments. The ever-expanding set of applications that provide intelligence in different scenarios is continually growing and expanding. From precision agriculture to the development of sustainable smart cities, the need to have a communications infrastructure that allows the connectivity of sensors, actuators, and users becomes essential. In what is known as the “last mile,” wireless networks are the fastest growing group. For these to be operational, it is necessary to connect them to the Internet through gateways. These gateways handle different communication technologies and are therefore expensive nodes to install and maintain. Defining their location and their ability to “route” messages involves a combinatorial optimization problem. In this work in progress, a multiobjective integer linear programming model (minimizing number of gateways, used energy, and transmission time) is presented. To the best of our knowledge, previous literature does not include any optimization framework encompassing all these three objectives together.