White Paper

通过性能工程优化资产设计和运营

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。

White Paper

Optimice el diseño de activos y operaciones con ingeniería de rendimiento

Las soluciones de ingeniería de rendimiento de AspenTech le ayudan a mejorar la productividad y la colaboración de ingeniería. Descargue este White Paper para aprender cómo puede aprovechar la ingeniería de procesos concurrentes y la optimización del ciclo de vida de los proyectos para ser más ágil en la licitación, la ejecución del proyecto y la transferencia de datos digitales del proyecto a su cliente.

White Paper

Four Keys to Agility and Resilience for EPCs

Engineering, Procurement and Construction (EPC) firms with a large presence in the process industries are preparing for a major disruption to their business. The now inevitable scaling back, delaying or cancelling of projects will have a tremendous effect on these companies. A top priority for EPCs, which typically operate on very thin margins and own few assets, will be preserving cash.

White Paper

Ensure Consistent Operations and Mineral Recovery with Machine Learning

Enhance mine-to-mill-to-metal operations with cutting-edge technologies that drive production increases, cost savings and increased safety for employees, the community and the environment. Learn how machine learning in AspenTech’s asset performance management solutions helps ensure reliable operations, enhance process efficiencies and increase mineral recovery.

White Paper

Five Keys to a Successful APC Program

The success of an APC program is measured in many ways, but the overall success is integral to achieving operational excellence. For example, an APC program should safely capture benefits during testing, capture all the potential benefits with aggressive full scope controllers, and create an APC culture and organization. Download this white paper to learn more about these concepts, as well as several others, which are key to a successful APC program.

White Paper

Ramp up Reliability With Low-Touch Machine Learning for Hyper Compressor Monitoring

When hyper compressors fail, the cost of production losses can range from tens of thousands to millions of dollars per occurrence. In this white paper, learn how companies are using Aspen Mtell to recognize the early indications of hyper compressor failure, reducing unplanned downtime and catching problems earlier—allowing more lead time to take appropriate action.

White Paper

Multiphase Pipe Flow Modeling in Aspen HYSYS

Multiphase flow through pipes is characterized by the flow regime, liquid hold-up and pressure gradient. Accurate prediction of these flow attributes is necessary for designing and maintaining pipelines and flowlines in the oil and gas industry. Aspen HYSYS provides a number of flow correlations for modeling multiphase pipe flow. To aid the user and provide a basis for comparison, the performance of correlations for different pipeline geometries, fluids, and flow regimes was analyzed. This paper discusses these analyses.

White Paper

Pushing the Reliability Envelope: Digital Optimization for the “Always On” Refinery

AspenTech conducted a survey of 240 downstream customers to uncover thoughts and opinions on digital optimization and industry trends for 2018 and beyond. This white paper details the results of the survey and provides the reader with insights on the focus of increased reliability, a top priority for many refinery organizations.

White Paper

基于模型的公用事业优化与管理

在白皮书里,我们探讨了如何改善炼油和石化公用事业系统运营,以提高能源效率、减少排放和提高灵活性。

White Paper

Five Keys to Agility and Resilience through Digitalization for Upstream Oil and Gas

The upstream oil and gas sector has faced a variety of challenges such as unpredictable oil prices, changing patterns of demand and ensuring safe working conditions at remote sites. Accelerated digitalization programs, particularly those that include digital twin technology, can provide agility and resilience to better handle future market uncertainty and lay the foundation for longer term competitive advantage.

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