Abstract: The method includes receiving raw data at a cloud service relating to a hydraulic fracturing operation. The raw data can be streamed to the cloud service. The method further includes pre-processing the raw data to generate pre-processed data. The pre-processed data can be ingestible by a cloud-based dashboard. Additionally, the method includes identifying at least one parameter relating to the hydraulic fracturing operation using the pre-processed data. The method can further include determining a difference between the at least one parameter and at least one optimized parameter. Further, the method can include adjusting the hydraulic fracturing operation based the difference between the at least one parameter and the at least one optimized parameter.

Abstract: A method is provided. Sensor data regarding a wellbore is received from at least one of a distributed fiber optic sensing line positioned along the wellbore and a plurality of subsurface and surface sensors. Flow models are generated based on the sensor data to optimize production flow. Flow profiles are generated based on the flow models and the sensor data to adjust at least one gas lift valve.

Abstract: Aspects of the subject technology relate to systems and methods for optimizing production flow monitoring by utilizing data driven in-situ injection. Systems and methods are provided for receiving sensor data from at least one of a distributed fiber optic sensing line positioned along a wellbore and a plurality of subsurface and surface sensors, generating flow models based on the sensor data received from the at least one of the distributed fiber optic sensing line and the plurality of subsurface and surface sensors to optimize production flow, and generating flow profiles based on the flow models and the sensor data received from the at least one of the distributed fiber optic sensing line and the plurality of subsurface and surface sensors to adjust zonal inflow device.