Las compañías mineras invierten fuertemente en activos para todas las etapas del proceso minero: extracción, procesamiento, refinería y distribución del mineral. Al monitorear la condición y el comportamiento de los activos y desarrollar perfiles de operaciones normales, anomalías y fallas, las herramientas de mantenimiento predictivo pueden notificar al personal sobre los problemas del equipo antes de que ocurra falla. Este documento describe cómo el mantenimiento predictivo proporciona a las organizaciones mineras la inteligencia necesaria para:

In this changing landscape, many companies are incorporating sustainability targets into their business goals, including safety, asset integrity, emissions management and waste reduction. Digitalization technology can offer polymer manufacturing companies opportunities to gain higher returns and drive new levels of optimization.

この記事では AspenTech AIoT platform のIoTアナリティックスが、センサや稼働中デバイス の時系列データを使用し、設備資産のAsset Health スコアをどのように算出しているかを解説します。Asset Health スコアによって、サービスチームはリアルタイムで設備資産の健全性を把握で き、サービス業務やメンテナンスにかかる費用の削減につなげることができます。

With downstream margins globally close to a 10-year low, according to S&P Global Platts Analytics and ExxonMobil, companies need to find new areas for improvement. Current digital solutions offer ways plants can move beyond mechanical and equipment investments to drive greater profits. Download this white paper that outlines high impact operational improvements that deliver immediate results.

Digital technology such as cloud computing is transforming the way companies do business. By deploying cloud technology, energy and chemical companies can efficiently process scenarios needed to mitigate business risk even faster. Download this white paper to learn more about the benefits of deploying Aspen PIMS-AO in the cloud and the competitive advantage it provides.

Finding ways to use petroleum resources while meeting the increasing demand for high-quality products and environmental regulations is one of the key challenges faced by the refining industry.

在全球范围内，各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业（尤其是能源和化工企业）的性质。在这种情况下，数字孪生（实物资产及其操作行为的虚拟副本）将发挥关键作用。对于今天我们创建的数字孪生，一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。

Learn about the underlying technology and validation results for the Acid Gas - Chemical Solvents Property Package in Aspen HYSYS used for amine solvents in Gas-Liquid Systems, such as MDEA, MEA, DEA, PZ and PZ+MDEA.

AspenTech’s Performance Engineering Solutions can help improve engineering productivity and collaboration. Download this white paper to learn how you can leverage concurrent process engineering and lifecycle project economics to be more agile in bidding, project execution and handover of digital project data to your customer.

AspenTech的性能工程解决方案有助于提高工程效率和协作。下载此白皮书，了解如何利用并行过程工程和生命周期项目经济学灵活进行投标、项目执行以及将数字项目数据移交给客户。