Machine Learning Soft Sensors Trained with Digital Twin for Improving Product Quality and Reducing Energy
Inprocess oral contribution to Aspentech’s Users Conference Beyond Optimize held online in October 2021.
Oil Production Company Saves up to 40% on TIME Using a Dynamic Digital Twin of the Field
Inprocess oral contribution to Aspentech’s Users Conference Beyond Optimize held online in October 2021.
Offline Digital Twin Benefits for a Steam Cracker
Inprocess oral contribution to Aspentech’s Users Conference Beyond Optimize held online in October 2021.
Sistema de gestión de las redes de hidrógeno en plantas petroquímicas: Minimice sus pérdidas de H2 hacia la red de fuel
Inprocess posee una amplia experiencia en el desarrollo e implementación de herramientas en línea de gestión de la red de hidrógeno que han ayudado a la industria petroquímica y a las refinerías a obtener ahorros en la operación, sin inversiones de capital.
The X-Files of a Depropanizer Column: Tray-Hydraulics, Thermographics and More
Inprocess oral contribution to Aspentech’s Users Conference Optimize 2021 held online in May 2021
The Benefits of Digitals Twins and VR for greenfield projects
Co-presentation of Inprocess and CEPSA of the successful project implementing Digital Twins and VR at CEPSA Puentemayorga plant (Spain).
Ensuring a successful FPSO start-up by phased lifecycle approach of process Digital Twins
Confirming FPSO process design/sizing, Control Narrative and ESD design is adequate and safe for all loads, transients and trips. Providing early Operator Training and refining your Operating Procedures before the ICSS is implemented. Detecting Bad Actors and process anomalies with online process Digital Twins.
Anomalies Detection with UniSim Design
Inprocess oral contribution to Honeywell’s EMEA Users Conference held in Amsterdam (The Netherlands), in October 2019.
Three birds, one stone: Using Digital Twins
Inprocess oral contribution to Aspentech’s Users Conference Optimize 2019 held in Houston, TX (USA) in May 2019.
A Digital Twin
The authors present the results of the collaboration between Espindesa and Inprocess in order to develop a software tool that acts as a digital twin of a real nitric acid plant.
