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Among equipment projects, one in five is seen to be over budget, making decision-making regarding all expenditures crucial for equipment project owners. Throughout the project lifecycle or the lifespan of the plant, various concerns and decisions, both large and small, may arise from design to operation. Decisions are often based on trade-offs between the ability to achieve key performance indicators such as plant throughput, quality, uptime, and safety, and costs. Carefully evaluating these trade-offs fundamentally determines whether the project will succeed, achieve overall goals, and result in customer satisfaction. For more details, please refer to the related catalog.

The Aspen Properties database and its supporting development tools have led the industry for the past 40 years by providing thermodynamic properties throughout the entire lifecycle of chemical processes. When Aspen Properties was first introduced to the market in 1983, the online provision of property data for chemistry and chemical engineering brought about a significant transformation in the discovery, development, and operation of chemical processes. AspenTech continues to lead the application of digital properties through innovations such as the continuous addition of new property methods, innovations like the electrolyte property system, strong partnerships with the global research community through close relationships with the National Institute of Standards and Technology (NIST), innovations in generalizing workflows that enable users to develop new property models, and improvements in properties related to carbon capture amine systems. For more details, please refer to the related catalog.

Aspen HYSYS has established itself as a leading process simulator in the oil and gas industry and the EPC (Engineering, Procurement, and Construction) sector for several decades. Through years of continuous technological innovation, process engineers can gain unparalleled insights from high-precision process simulations. Key features include the estimation of capital expenditure costs (CAPEX) and operational maintenance costs (OPEX), energy analysis using pinch technology, calculation of overall plant emissions, and rigorous simulation of equipment such as reactors, distillation columns, and heat exchangers in refineries. Additionally, the development of high-precision digital twin models is further enhanced by built-in industrial AI technology. For more details, please refer to the related catalog.

YPF, Argentina's largest oil and gas company with a 100-year history, has begun its transformation efforts in collaboration with AspenTech. As a leader in the regional energy industry, the company has set ambitious goals, including venturing into crude oil and LNG exports and quadrupling its corporate value over the next four years by enhancing the production efficiency of its refineries. [Challenges] - To achieve these goals, it was necessary to significantly reduce operating costs while ensuring the reliability of equipment. [Results Achieved with Aspen Mtell] - Early detection of failures prevented significant damage to critical compressors. - Avoided an estimated 10 days of opportunity loss due to increased vibrations leading to failures, as well as preventing uncontrolled vents that could cause environmental pollution. - The implementation of the system led to an improvement in safety culture, streamlined operations, and promoted proactive problem-solving. For more details, please refer to the related catalog.

Sardeolica operates a 126 MW wind farm consisting of 57 wind turbines located in Urasai and Perdaxius, Italy, with an annual generation of 250 GWh. Since 2017, the company has embarked on a digitalization process aimed at optimizing plant control, planning maintenance during low wind periods, continuous improvement of productivity and machine uptime, and realizing a "digital" maintenance culture. 【Challenges】 • Extending the lifespan of the wind farm (a total of 57 turbines) and reducing maintenance costs • Optimizing scheduling through predictive maintenance requirements 【Achievements with Aspen Mtell】 • Proactively managing the wind farm to avoid catastrophic damage • Predicting potential issues up to six months in advance • Planning maintenance work during low-impact low wind periods • Improving plant uptime while reducing annual maintenance costs by up to 10% For more details, please refer to the related catalog.