Aspen Technology, Inc.
Asset Optimization Using Integrated Modeling, Optimization, and Artificial Intelligence

Abstract:

System and methods that provide a new paradigm for solving process system engineering (PSE) problems using embedded artificial intelligence (AI) techniques. The approach can facilitate process model building and deployment and benefits from emerging AI and machine learning (ML) technology. The systems and methods can define PSE problems with mathematical equations, first principles and domain knowledges, and physical and economical constraints. The systems and methods generate a dataset of recorded measurements for variables of the process, and reduce the dataset by cleansing bad quality data segments and measurements for uninformative process variables from the dataset. The dataset is then enriched by, for example, applying nonlinear transforms, engineering calculations, and statistical measurements. The systems and methods use for example, a simplified first principles model (FPM), AI/ML model, or both in a hybrid model format to build a model and solution, which is deployed online to perform asset optimization tasks in real-time plant operations.