Ardila Ortiz

Abstract

In the Oil & Gas industry, there are drilling or workover rigs that perform drilling and well maintenance tasks for the production of oil and gas. The dynamics in this industry segment involve an operating company (such as Ecopetrol, Hocol, Parex, etc.) contracting a service provider company that owns RSUs, rigs, and/or drilling rigs to perform these tasks. These rigs are large mobile structures that are moved from one location to another, especially in rural areas and, in some cases, in difficult-to-access locations, to carry out these operations. The operating company establishes a contract in which it has a certain number of rigs available that can be moved according to its business plan in the blocks, clusters, or wells it controls. Based on the activities requested by the operating company, the rig owner executes and bills these activities. One specific case is mobilization, which is one of the most expensive processes. It is typically billed based on load, trajectory, and sometimes time as a measure of effort. While the load is easily known, as well as the distance, it is not always certain whether the planned route was actually taken and whether the kilometers billed were accurate, leading to potential financial losses for the rig owner. This project presents the development of a system that allows obtaining longitude and latitude coordinates for drilling and workover rigs using an IoT device that sends this data to the cloud for processing. This enables tracking the trajectory of a drilling or workover rig mounted on its base unit from one point to another, with the aim of providing accurate information to correctly calculate the mobilization operation cost and ensure proper billing to the operators by the service provider company. To address this problem, the proposed solution involves using a device that captures the coordinates while the rig is in motion. Once it arrives at a location and regains network connectivity, all stored data is sent for further processing. The data is then used to calculate the trajectory using the Haversine formula. The prototype outlines the need for a backup power system and the connection to GPS and Ethernet modules, among others, to obtain and transmit information such as longitude, latitude, time, altitude, date, and the number of satellites. This work focuses on developing the logic of the solution, including coding the microcontroller for capturing, storing, and transmitting information, as well as creating the IoT gateway service, implementing a broker, and establishing the basic business logic to determine the distance. Additionally, it outlines a potential physical implementation of the solution, taking the context into account. The project successfully captures and sends the data to the cloud for storage and calculates the distance traveled within a given time interval.