DATAGEN

¡Welcome! As time goes by the oil and gas industry has to bet on new tools and technologies that allow increased recovery, maximize production, and facilitate a safe working environment for each of the collaborators, and thus have a much broader and sustainable projection. Rapidly disseminating through productivity spikes, indicators demonstrate unparalleled speed, making adept and versatile monitoring all the more crucial. Tracking electro-submersible pumps to improve efficiency, and operational cost savings through failure prediction using machine learning models and data security by storing data in the cloud. Specific objectives • Implement an advanced monitoring system through dynamic dashboards hosted in a cloud infrastructure. • Develop an initiative-taking monitoring system that timely identifies possible scenarios such as pump failures, operational pauses, or maintenance needs, which will prevent production losses and optimize costs. • Perform root cause analysis in cases of failure or degradation in pump performance, using the data collected and the predictions generated by machine learning models. • Create automated alerts that send notifications to the operations and maintenance team upon detection of abnormal conditions or anticipation of potential failures, enabling an immediate and preventive response. • Ensure the security and confidentiality of information by processing and storing data in the cloud.