Abstract: Provided is an apparatus including: a report acquisition unit configured to acquire a report of an abnormality having occurred in a facility; a work plan output unit configured to output a work plan for dealing with an abnormality indicated as abnormality information in the report; an evaluation acquisition unit configured to acquire an evaluation of work according to the work plan output from the work plan output unit; and an update unit configured to update output content of the work plan by the work plan output unit by using the evaluation acquired by the evaluation acquisition unit.

Abstract: Provided is an apparatus, including: a database connection unit connected to a database for storing a plurality of groups respectively including abnormality information about an abnormality occurred in a facility and an actual work performance for addressing the abnormality; a report acquirement unit for acquiring a report of an abnormality occurred in the facility; a working plan acquirement unit for acquiring a working plan for addressing an abnormality occurred in the facility; a similarity calculation unit for calculating a similarity between abnormality information in the report and abnormality information; a selection unit for selecting at least one group from the plurality of groups based on a similarity calculated by the similarity calculation unit; a difference detection unit for detecting a difference between the working plan and the actual work performance of the at least one group; and a display processing unit for conducting display processing for displaying the difference.

Abstract: Methods and systems for optimizing the gas-oil separation plant (GOSP) operating parameters in order to maximize the stabilized crude oil recovery in an integrated framework of GOSP operation. The ambient temperature variations daily (day and night) and seasonal (summer and winter) are incorporated to show their impact on liquid recovery. An artificial intelligence model predicts stabilized crude oil recovery for a range of ambient temperatures. The optimal GOSP separator pressures which yield maximum stabilized crude oil recovery are determined for each ambient temperature. The separator pressures of the GOSP may be adjusted to achieve the maximum stabilized crude oil recovery under changing ambient temperatures.

Abstract: A method of determining a fouling location of a shell and tube heat exchanger is provided. Under the method, a simulation model of the heat exchanger is partitioned into multiple segments. Each segment corresponds to a different one of multiple operating scenarios of the heat exchanger. For each operating scenario, temperature data and pressure drop data are generated from the simulation model of the heat exchanger. The fouling location of the heat exchanger corresponds to a respective segment in each of the multiple operating scenarios. The temperature data and the pressure drop data are classified based on the multiple segments of the simulation model by inputting the temperature data and the pressure drop data to one or more machine learning classification algorithms. The fouling location and a value of accumulated fouling at the fouling location are determined based on the classified temperature data and the classified pressure drop data.

Abstract: Methods and systems for optimizing the gas-oil separation plant (GOSP) operating parameters in order to maximize the stabilized crude oil recovery in an integrated framework of GOSP operation. The ambient temperature variations daily (day and night) and seasonal (summer and winter) are incorporated to show their impact on liquid recovery. An artificial intelligence model predicts stabilized crude oil recovery for a range of ambient temperatures. The optimal GOSP separator pressures which yield maximum stabilized crude oil recovery are determined for each ambient temperature. The separator pressures of the GOSP may be adjusted to achieve the maximum stabilized crude oil recovery under changing ambient temperatures.

Abstract: A pneumatic valve system that includes an actuator that pneumatically actuates a valve, and circuitry that calculates a control signal to control the actuator by compensating for nonlinear dynamic of the actuator using a stable inverse model of the valve, optimizes parameters of the stable inverse model such that a difference between output information of the pneumatic valve system and desired reference information is reduced, and outputs the control signal to control the actuator.

Abstract: A pneumatic valve system that includes an actuator that pneumatically actuates a valve, and circuitry that calculates a control signal to control the actuator by compensating for nonlinear dynamic of the actuator using a stable inverse model of the valve, optimizes parameters of the stable inverse model such that a difference between output information of the pneumatic valve system and desired reference information is reduced, and outputs the control signal to control the actuator.

Abstract: A pneumatic valve system that includes an actuator that pneumatically actuates a valve, and circuitry that calculates a control signal to control the actuator by compensating for nonlinear dynamic of the actuator using a stable inverse model of the valve, optimizes parameters of the stable inverse model such that a difference between output information of the pneumatic valve system and desired reference information is reduced, and outputs the control signal to control the actuator.

Abstract: A pneumatic valve system that includes an actuator that pneumatically actuates a valve, and circuitry that calculates a control signal to control the actuator by compensating for nonlinear dynamic of the actuator using a stable inverse model of the valve, optimizes parameters of the stable inverse model such that a difference between output information of the pneumatic valve system and desired reference information is reduced, and outputs the control signal to control the actuator.