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  3. アスペンテックジャパン/AspenTech
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アスペンテックジャパン/AspenTech

addressTokyo/Chiyoda-ku/Kojimachi 4-8, Kojimachi Crystal City 7F
phone03-4540-1660
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last updated:Aug 27, 2025
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アスペンテックジャパン/AspenTech List of News Articles

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  • Publication year

  • Publication year : 2025

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アスペンテックジャパン/AspenTech

[New Publication: White Paper] The Development of Process Optimization Promised by Quantum Chemistry at AspenTech

  • Catalog news

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.

Aug 27, 2025

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アスペンテックジャパン/AspenTech

[New Listing] Process Simulation Software for Oil and Gas - Aspen HYSYS

  • Catalog news

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.

Jul 29, 2025

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アスペンテックジャパン/AspenTech

Case Study: Argentina's Largest Oil and Gas Company Improves Reliability and Efficiency with Aspen Mtell

  • Catalog news

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.

Apr 21, 2025

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アスペンテックジャパン/AspenTech

Case Study: New Listing - Sardeolica: Digitizing Wind Farm Maintenance to Achieve Cost Reduction, Improved Uptime, and Enhanced Safety Culture.

  • Catalog news

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.

Apr 14, 2025

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アスペンテックジャパン/AspenTech

Case Study: New Listing OCP Ecuador: Accurately Identifying Asset Failures Using Prescriptive Maintenance to Reduce Maintenance Costs

  • Catalog news

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.

Apr 07, 2025

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アスペンテックジャパン/AspenTech

[Case Study: New Listing] A major integrated energy company optimizes its supply chain with Aspen Unified PIMS.

  • Catalog news

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.

Feb 26, 2025

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アスペンテックジャパン/AspenTech

[New Listing] Aspen Unified (Production Planning/Scheduling/Product Costing Solution) Catalog

  • Catalog news

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.

Feb 19, 2025

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アスペンテックジャパン/AspenTech

Research Report: New Publication on the Current State of Industrial Data

  • Catalog news

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.

Feb 12, 2025

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アスペンテックジャパン/AspenTech

Case Study: Mitsubishi Chemical Uses Aspen Hybrid Model to Detect and Avoid Product Quality Issues

  • Catalog news

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.

Feb 05, 2025

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アスペンテックジャパン/AspenTech

Case Study: Kaneka Utilizes Dynamic Simulation to Improve Productivity Without Additional Capital Investment

  • Catalog news

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.

Jan 29, 2025

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[Case Study: New Listing] Nissan Chemical Improves the Speed and Accuracy of Steam Reforming Equipment Models with Aspen Hybrid Model

  • Catalog news

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.

Jan 22, 2025

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