Wellaware Holdings, Inc.

Cody James Lee

David Sisk

John Whipple

Stephen Gray

Nakul Jeirath

Cameron Archer

Roel Almendarez

Jesus Gonzalez, Jr

Theodore Wilmes

Implementations are directed to monitoring and reporting on actual hazardous conditions at a facility receiving data associated with a site, the site being susceptible to potentially hazardous conditions, and include actions of determining that a hazardous condition is present at the site, processing the data based on one or more models to provide output data, processing the output data to provide indicator data for providing a graphical representation of the site, the graphical representation providing a graphical depiction of the hazardous condition, and providing the indicator data to one or more user devices, the indicator data being processed by each of the one or more user devices to display the graphical representation.

Modeling potentially hazardous sites and informing on actual hazardous conditions

Implementations are directed to surveying equipment and/or signals at well sites using an aerial drone. In some implementations, actions include receiving data provided from the aerial drone, the data including signal measurement data, location data, and one or more of image data and video data associated with a well-site, processing the data to provide one or more of a signal survey and a well-site survey associated with the well-site, the signal survey indicating a strength of a signal at multiple locations of the well-site, the well-site survey indicating one or more pieces of equipment located at the well-site, and providing the one or more of the signal survey and the well-site survey to provide an equipment schedule, the equipment schedule identifying equipment to be installed at the well-site and, for at least one piece of equipment, a location to install the at least one piece of equipment.

Aerial drone for well-site and signal survey

Implementations include methods for monitoring and reporting on actual hazardous conditions at a facility including actions of receiving data associated with a site, the site being susceptible to potentially hazardous conditions, processing the data, one or more models, and one or more prediction rules, determining that a hazardous condition is predicted to occur at the site, providing output data reflecting the hazardous condition, processing the output data to provide indicator data for providing a graphical representation of the site, the graphical representation providing a graphical depiction of the hazardous condition, and providing the indicator data to one or more user devices, the indicator data being processed by each of the one or more user devices to display the graphical representation.

Modeling potentially hazardous sites and predicting hazardous conditions

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San Antonio, TX, United States of America

Cody James Lee