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.

OCP Ecuador is a midstream oil and gas company that transports, stores, and ships crude oil. They showcase a case where they have implemented AspenTech's predictive maintenance solution, Aspen Mtell, to continuously monitor critical assets using both process data and mechanical data. 【Value Created by Adopting AspenTech Products】 • Accurately detected imminent asset failures, such as combustion issues and valve and injector calibration problems, 20 days before they occurred. • Rapidly applied the solution to 22 main pumps, 5 booster pumps, and 4 generators. • Generated three times the initial investment in less than five months. For more details, please refer to the related catalog.

A major integrated energy company has been using Aspen PIMS since 1996 for production planning and optimization of single and multiple refineries. In 2021, they conducted a thorough evaluation of competing solutions available in the market and chose Aspen Unified PIMS, which exceeded all technical and economic requirements. By using Aspen Unified PIMS, the company's planners can share information more quickly and easily on a single Unified server, eliminating the need to archive models or send attachments via email or shared drives. This has particularly improved multi-site modeling, as planners from different locations can easily collaborate within the Unified environment, displaying individual refinery models on flow sheets and verifying product flows. "One of the biggest advantages of using Aspen Unified PIMS is the solver. It excels in execution speed, reliability, and stability, allowing for repeated searches for global optimal solutions." – Senior Process Engineer, Major Integrated Energy Company For more details, please refer to the related catalog.

Aspen Unified is a next-generation production planning/scheduling/product accounting solution offered by AspenTech. Aspen Unified enables margin improvement and time savings by coordinating siloed business processes to enhance efficiency across the entire value chain. Planning, scheduling, product accounting, and operational state optimization are supported by a consistent single web-based environment characterized by an intuitive look and feel, flow sheet environment, common models, data components, and powerful integration. This reduces the gaps caused by inefficiencies when executing optimal plans for operations. Expected benefits of Aspen Unified: ■ Significant margin improvement ■ Emission reduction ■ Reduction of up to 1,000 person-hours per year ■ Up to 75% reduction in total cost of ownership For more details, please refer to the related catalog.

Vanson Bourne is an independent technology-focused research company known for its reliable and trustworthy analysis based on research. This report was commissioned by AspenTech and conducted a survey of 200 senior respondents from IT and operations departments working in various sectors (energy, oil and gas, chemicals, pharmaceuticals, construction and engineering, mining and metals) in North America (the United States and Canada) and Europe (the United Kingdom, France, and Germany). The survey was conducted in the spring of 2023. Despite the many benefits that can be gained from effectively utilizing industrial/business data, such as cost reduction, product quality improvement, and ESG reporting, it would be a shame to fail due to a lack of collaboration. This report will examine data on the following items: • Improvement of inter-departmental collaboration through company-wide initiatives • Investment in software with shorter learning curves • Talent acquisition and retention For more details, please refer to the related catalog.

Mitsubishi Chemical was facing difficulties in detecting and resolving product quality issues on schedule in specific polymer processes. Therefore, they found an opportunity to address these issues by collaborating with AspenTech. By using Aspen Hybrid Models, the company's process engineers were able to create robust and high-performance models that accurately predict quality issues and support preventive measures. 【Value Created by Adopting AspenTech Products】 • Detection and avoidance of potential quality issues • Significant reduction in on-site sampling work • Shortened time to realize operator value For more details, please refer to the related catalog.

Due to the increasing market demand for functional resins, the demand for high-value-added products from Kaneka Corporation has significantly increased. To respond to the rising demand, Kaneka needed to rapidly expand production. 【Value Created by Adopting Aspentech Products】 • Improved productivity of existing facilities by 2% without additional capital investment • Minimized the number of prototypes using commercial plants • Reduced engineering time by 3 months For more details, please refer to the related catalog.

Nissan Chemical Corporation is considering modeling an ammonia plant and conducting a study on cost reduction, initially focusing on steam reforming. The company has struggled to accurately model processes and assets using existing rigorous reactor simulations. This requires temperature profiles of process fluids, and accurately estimating or measuring the temperature distribution within the reactor has been challenging. Due to such constraints in conventional models, the company wanted to try a different approach. Ultimately, they chose Aspen Hybrid Models and Aspen Plus based on first principles. 【Twice the speed】Build models that surpass conventional ones more quickly 【Up to 1%】Cost reduction rate achievable through optimization of steam input 【Improved accuracy and sustainability】Enhance predictive insights through the use of AI For more details, please refer to the related catalog.

The implementation plan for BASF's industrial data platform needed to meet various requirements, including the following: 【Challenges】 • Connectivity and integration • Smart data and common language • Transfer and integration • Visualization • Scalability 【Solution】 • AspenTech Inmation's real-time data platform With AspenTech Inmation, BASF was able to: 【Value Created】 • Connect information from various data sources, including traditional historians, spreadsheets, and new sensors • Analyze data and provide users with the information they truly need For more details, please refer to the related catalog.

Aspen SeisEarth is a powerful and flexible analysis system suitable not only for traditional oil and gas projects but also for subsurface exploration and production in sustainable energy environments such as geothermal energy and carbon capture and storage. For more details, please refer to the related catalog. (This catalog is in English.)

Outstanding Features and Modular Design Aspen Geolog has been adopted by the top 90% of oil companies worldwide as the industry standard for advanced rock physics analysis and stratigraphic evaluation for many years. Geolog is unparalleled in cutting-edge rock physics and geological analysis tools, well data management, exceptional graphics, and robust data integration. Aspen Geolog combines technical superiority with a consistent, modern, and user-friendly interface across multiple platforms. For more details, please refer to the related catalog. (This catalog is in English.)

AspenTech Inmation was developed based on a deep understanding and solid recognition of the challenges related to OT data management for process industry companies in Industry 4.0. This white paper discusses the total value of ownership (TVO) that can be achieved for three different implementation options for customers. These three implementation options are "Enterprise-wide Historian," "Enterprise-wide Data Lake (On-Premises)," and "Enterprise-wide Data Lake (Hosted)." The TVO model was based on an organization assumed to be a manufacturing company with revenues of $1 billion and 15,000 employees. [Main Contents] ● Summary of financial data showing the total net benefits over three years ● The most important benefit considered among multiple benefits is the creation of revenue sources by addressing new use cases ● Categories of benefits believed to enhance the advantages in the TVO model ● Strengthening OT/IT integration ● Scalability and ease of data utilization ● The key cost factors considered in the TVO model were labor, infrastructure, and software For more details, please refer to the related catalog.

The international competition for bids and estimates in plant construction projects is fierce, and SK E&C needed technology and workflow processes that would enable them to compete against rival companies with lower labor costs. Therefore, SK E&C adopted the Aspen Capital Cost Estimator (ACCE) as an integrated cost estimation tool. They defined a systematic workflow to execute projects in a planned manner and created bids in a systematic way. "The owner-operator was faced with the decision of whether to construct a large oil refining facility in Thailand. With the Aspen Capital Cost Estimator, the owner-operator was able to obtain reliable and verifiable budget estimates, allowing SK E&C to execute project cost estimation more easily and flexibly," said Jaeyong Kim, Senior Cost Estimator for Plant Projects at SK E&C. For more details, please refer to the related catalog titled "Korea's SK E&C Reduces Engineering and Estimation Man-Hours by 50% with Aspen Capital Cost Estimator."

As part of the technological development aimed at realizing a carbon-neutral society, the chemical industry is considering the transition to low-carbon raw materials such as bio-based feedstocks. Additionally, by applying biosciences used in various fields such as healthcare, agriculture, forestry, livestock, and fisheries, there is also the possibility of changing processes from traditional chemical reaction processes that require high temperature and pressure to more environmentally friendly bioprocesses. This document introduces how to utilize the newly added bio-based raw material database in Aspen Plus V14 and how to handle bio-reaction (biochemical reaction) processes. It also presents efficient methods for conducting feasibility studies and process design for bioprocesses, which have seen a rapid increase in demand recently. [The following functions are introduced] ■ Bio-based raw material database ■ Bio-reaction (biochemical reaction) ■ Economic evaluation of bioprocesses ■ Case studies using sample files For more details, please refer to the related catalog.

We have released the latest version of the AspenTech Engineering Solutions comprehensive catalog. It comprehensively introduces approximately 70 types of products that can be used from research and development to process design and operations. ■ Process simulators (for oil & gas, petroleum refining, petrochemicals, fine chemicals, pharmaceuticals, and food) ■ Project cost estimation ■ Heat exchanger design ■ Pinch analysis ■ Equation solver tools ■ Gas adsorption processes ■ Liquid adsorption processes ■ Utility supply equipment optimization ■ Reliability analysis ■ Engineering document management tools ■ Safety assessment solutions ■ Safety valve design ■ Dynamic analysis ■ Flare piping ■ AI (machine learning) ■ Digital twin ■ Online monitoring ■ Real-time optimization (RTO) ■ Operator training systems (OTS) ■ Biomass and carbon capture considerations ■ Hydrogen production/transportation ■ Chemical recycling For more details, please refer to the related catalog.

Energy Management and Electrification of Energy and Chemical Process Units Electrification presents a significant opportunity to build competitive advantages and market differentiation across numerous industrial sectors, including refineries, chemicals, upstream, and power. This white paper discusses electrification strategies. Additionally, it showcases excellent examples of how digital technologies are enabling power generation and distribution companies, as well as industrial electricity consumers, to optimize their electricity usage and prepare for future electrification. For more details, please refer to the related catalog.

AspenTech investigated how sustainability investments impact capital investment projects and how EPCs and their clients (asset owners) view their commitment to sustainability. This survey was conducted in collaboration with the petrochemical industry magazine "Hydrocarbon Processing," targeting decision-makers in asset-intensive industries worldwide. Responses were obtained from 185 companies representing a wide range of industries. The breakdown includes 10% from integrated energy companies, 27% from upstream and downstream companies, 17% from chemical companies, and 25% from engineering services companies. For more details, please refer to the related catalog.

To realize a hydrogen society, it is necessary to develop element technologies and systems through the value chain from hydrogen production to utilization. This document introduces how tools such as process simulators Aspen Plus / HYSYS can be utilized in the development of element technologies. [The following functions are introduced] ● Hydrogen production by electrolysis ● Hydrogen production by methane pyrolysis ● Blue hydrogen production by methane steam reforming ● Hydrogen liquefaction process ● Risk assessment of green hydrogen and ammonia projects ● Fuel cells For more details, please refer to the related catalog.

Minimizing asset failures and unplanned operational shutdowns Achieving operational and profitability goals in the process industry is greatly influenced by the ability to avoid (or minimize) asset failures and the resulting unplanned operational shutdowns. However, there are limitations to implementing this with traditional maintenance programs, which typically result in reactive responses after failures occur. Other new maintenance methods have been tested, but Aspen Mtell stands out by combining "rule-based and condition-based monitoring," "first-principle modeling," "AI machine learning," and "custom models developed by data science teams" to create a comprehensive solution for monitoring asset health and performance. Aspen Mtell meticulously tracks various operational parameters and captures subtle changes in behavior to quickly identify signs of anomalies and effectively and rapidly assess asset risks. For more details, please refer to the related catalog.

Streamlining Engineering through Simulation Improvement Aspen Plus addresses critical engineering and operational issues that arise throughout the lifecycle of chemical processes. ● Reduces carbon footprint through process design and operational optimization ● Improves operational decision-making with robust models that reflect reality ● Accelerates high-precision and fidelity model simulations with industrial AI ● Models processes based on solid first principles to ensure high reliability ● Conducts design and optimization of polymer production using proven models and data ● Simplifies the development of batch processes ● Restores optimal column performance and optimizes column design ● Implements design, optimization, and scale-up of solid processes ● Reduces equipment costs through rapid optioning ● Prevents process disruptions and mitigates safety-related incidents ● Designs and optimizes specialized processes and equipment For more details, please refer to the related catalog.

AspenTech's process simulation software already has a proven track record and supports companies in reducing their CO2 emissions. This same software becomes even more crucial in CCUS, enabling organizations to improve carbon capture and storage. In the pursuit of effective solutions underground, industry leaders are using geophysical and geological modeling software to quickly determine the best reservoir targets for reliable long-term carbon storage. Digital grid management software is also an effective solution for optimizing the use of distributed energy resources. This white paper presents case studies and AspenTech's related solutions regarding "Optimization of Carbon Capture, Utilization, and Storage." For more details, please refer to the related catalog.

We will eliminate the bottlenecks in the data flow between the OT data system and the enterprise cloud. What is AspenTech Inmation? At the core of AspenTech Inmation is an engine that processes all data in the background to perform the necessary integration for practical information. It can connect plants, corporate network infrastructures, and various operational components and IT systems located in different places. With AspenTech Inmation, you can see everything at a glance. You can view production data, process data, and key performance indicators (KPIs) in real-time on an integrated performance dashboard. For more details, please refer to the related catalog.

How can chemical companies improve resource efficiency? To enhance resource efficiency based on production scale and product added value, bulk chemical manufacturers may adopt different strategies compared to small specialty chemical manufacturers. For example, Scope 1 emissions are a highly urgent issue for ethylene production companies. In contrast, specialty polymer manufacturers may focus on waste reduction and product circularity. This white paper addresses several of the most important themes in the chemical industry. For more details, please refer to the related catalog.

The predictive maintenance solution "Aspen Mtell" detects when equipment failures are likely to occur and provides early and accurate warnings about how failures will happen and how to respond, thereby achieving predictive maintenance. The latest catalog, "Aspen Mtell - Updated version integrated with Aspen Maestro for Mtell," introduces Aspen Maestro, a groundbreaking feature embedded within Aspen Mtell. Aspen Maestro assists users in creating predictive agents. By leveraging Aspen Maestro and incorporating domain-specific knowledge, it simplifies the three most challenging issues that hinder the development of effective models: "data selection," "data cleaning," and "context creation." For more details, please refer to the related catalog.

In the market, polymers with a uniform molecular weight distribution are in demand, and early development of new polymers through novel polymerization methods was necessary. This presentation introduces how Daicel Corporation collaborated with AspenTech and utilized Aspen Polymers to achieve early development. For more details, please refer to the related catalog "Daicel Reduces Experimentation with Aspen Polymer and Accelerates Innovation."

Lubrizol was compelled to double its production capacity for intermediate product processes and decided to redesign its continuous and batch hybrid processes from scratch. In doing so, we will introduce how we solved the challenges using AspenTech products. “Aspen Plus provides a variety of tools that meet our needs, including steady-state, dynamic, reaction modeling, heat exchanger design, and cost estimation. Moreover, these tools are integrated with each other.” – Michael Cole, Process Modeling Consultant, Lubrizol For more details, please refer to the related catalog "Lubrizol's Use of Aspen Plus Case Study on New Process Development: Time Reduction."

Fujipco's supply chain management system accurately planned the manufacturing of approximately 10,000 types of products and ensured timely shipments. However, it became clear to management that the existing forecasting, planning, scheduling, and distribution processes were not aligned with the company's efforts to achieve a "sustainable circular society." Therefore, Fujipco chose aspenONE Supply Chain Management (SCM) to address this challenge. For more details, please refer to the related catalog "Fujipco: Utilizing Digital Supply Chain to Reduce Emissions and Waste, and Achieve Sustainability Goals."