Abstract: Systems and methods include a computer-implemented method for managing crude oil demand at a crude oil processing plant. Real-time process data is received for the plant and includes quantitative values for conditions and operations at the plant. A multiple stabilizer oil flow control strategy is determined for crude oil stabilizer columns of the plant using the real-time process data. A targeted oil flow rate is determined for each stabilizer column using the strategy. The targeted oil flow rate provides a continuous and on-target crude oil supply to components of the plant in multiple operating scenarios. The on-target crude oil supply includes a range of oil flow volumes required for continuous operation. The plant is operated using the strategy, including maintaining, using the targeted oil flow rate for each stabilizer column, crude oil demand for different combinations of the crude oil stabilizer columns and multiple operating scenarios.

Abstract: Systems and methods for monitoring an industrial site including: a distributed control system and a closed-circuit television (CCTV) system. The distributed control system includes a plurality of safety sensors distributed across the industrial site, each safety sensor associated with a specific area of the industrial site and each safety sensor operable to transmit an alert signal in response to detection of a target gas. The CCTV system in electronic communication with the integration node and including a server and a plurality of cameras. The server is operable to direct at least one of the plurality of cameras at the specific area of the industrial site associated one of the safety sensors that generated an alert signal received by the closed-circuit television system.

Abstract: A global theoretical graphical representation of a soft sensor is generated based on a cursory model, where the soft sensor is used to control crude stabilization. A plurality of local real-life graphical representations are generated for the soft sensor, each of the plurality of local real-life graphical representations corresponding to a respective local regime. A global real-life graphical representation is generated for the soft sensor by combining the plurality of local real-life graphical representations. A set of numerical values for the soft sensor are generated based on the global real-life graphical representation. The soft sensor is updated based on lab results and a crude stabilization operation is controlled using the soft sensor.

Abstract: A global theoretical graphical representation of a soft sensor is generated based on a cursory model, where the soft sensor is used to control crude stabilization. A plurality of local real-life graphical representations are generated for the soft sensor, each of the plurality of local real-life graphical representations corresponding to a respective local regime. A global real-life graphical representation is generated for the soft sensor by combining the plurality of local real-life graphical representations. A set of numerical values for the soft sensor are generated based on the global real-life graphical representation. The soft sensor is updated based on lab results and a crude stabilization operation is controlled using the soft sensor.