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.

Aspen Unified is a next-generation planning, scheduling, and product accounting solution provided by AspenTech, a global leading provider of planning and scheduling solutions (Aspen PIMS-AO and Aspen Petroleum Scheduler). Aspen Unified enables margin improvement and time savings by coordinating siloed business processes to enhance efficiency across the entire value chain. Planning, scheduling, yield calculation, and operational state optimization are supported by a consistent single web-based environment characterized by an intuitive look and feel, a flow sheet environment, common models, data components, and robust integration. For more details, please refer to the related product information.

Aspen Fidelis is a discrete event simulator that uses the Monte Carlo method. It predicts system operation and maintenance over the lifecycle, as well as future performance. Aspen Fidelis provides an accurate and comprehensive list of bad actors quantified not only by maintenance but also by revenue and production losses. It can effectively perform lifecycle analysis on assets, including parameters that define asset uptime, overall equipment effectiveness, and other factors such as operating conditions, reliability, and costs. For more details, please refer to the related product information.

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.

We have updated the page of the "Engineering Solutions Comprehensive Catalog V14," which comprehensively introduces about 70 types of products available for research and development, process design, and operations. We have added key products and their summaries to the lineup list, presenting the information included in the comprehensive catalog in an easy-to-understand manner. For more details, please refer to the related product information.

AspenTech's digital grid management product suite enables the realization of resilient, sustainable, and smart utilities for the future. Through a flexible and secure operational technology platform equipped with robust advanced applications, we support the evolution of lifelines such as electricity and gas. For more details, please refer to the related product information.

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."

AspenTech's Subsurface Science & Engineering product line is trusted by energy companies around the world as a solution that can respond to the changing energy landscape of today. It addresses complex exploration and production challenges while reducing geological risks and minimizing environmental impact. Subsurface Science & Engineering technology utilizes advanced science to deliver high-precision results, helping companies minimize operational costs even under challenging economic conditions and maximize value from innovative projects. For more details, please refer to the related product information.

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.

In recent years, advancements in process simulation technology have brought attention to "process digital twins." This webinar will introduce an overview of process digital twins based on the latest process simulation technologies. We invite you to participate. A process digital twin is a technology that enables real-time monitoring, analysis, and optimization by digitally reproducing manufacturing processes and equipment from the real world. As application examples, we will present successful cases of process digital twins in industries such as manufacturing and energy. This will clarify how digital twins can significantly enhance a company's productivity and efficiency, from visualizing the entire production line to improving operational management. Process digital twins are positioned as a core element of digital transformation (DX) in manufacturing. They are also essential technologies for increasing productivity while minimizing environmental impact. By realizing sustainable production processes that leverage digital twins, companies can respond flexibly and swiftly to market changes, maintain and enhance their competitiveness, and take an important step towards achieving carbon neutrality.

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.

CO2 separation and capture technology has become an essential technology for achieving a carbon-neutral society. This includes various technologies such as physical and chemical absorption methods, solid absorption methods, and membrane separation methods. The simulation technology for CO2 capture processes quantitatively evaluates the thermal and material balances of the entire system, clarifying the impact of material performance on the system. This enables the design and optimization of efficient and cost-effective CO2 capture systems. In this webinar, we will introduce CO2 capture simulation technology based on sample models from Aspen Plus and Aspen Custom Modeler. [We will introduce the following demos and features] ● Thermodynamic property modeling of amine solutions ● Introduction to CO2 absorption processes using MEA ● Introduction to CO2 separation processes using membranes ● Introduction to CO2 separation processes using pressure swing adsorption (PSA)

Focusing on digital transformation (DX) in the process industry, we will introduce maintenance strategies and process improvement solutions based on digital platforms. This webinar will provide valuable information for professionals and stakeholders involved in the process industry, as well as those interested in DX. Don't miss the opportunity to discover keys and insights for success on the journey of digital transformation! --------------------------------------- Event Name: "Maintenance Strategies and Process Improvement Solutions Based on Digital Platforms" Date: May 23, 2024 (Thursday) 1:30 p.m. - 4:00 p.m. Co-hosted by: Emerson Japan Co., Ltd. --------------------------------------- 【Agenda】 ● Opening ● Improving the performance of existing equipment through Asset Performance Management ● Innovations in OT data integration: New developments in DX brought by AspenTech Inmation ● Commitment to Boundless Automation

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.