Learn how the robust control functionality contributes to a useful reduction in maintenance cost and helps extend times between revamps for APC controllers.

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.

How do contractors and owners manage risk in today’s environment? There is intense pressure to understand estimating uncertainty and deliver better designs and lower bids. By reading this white paper you'll understand new ways to deliver bids faster and increase transparency with respect to estimate risk and uncertainty.

Energy is often the largest operating expense after raw materials for refining and petrochemicals companies, frequently starting out at over 50 percent of operating costs prior to energy reduction programs. Managing and optimizing these energy costs are critical capabilities for a refinery to meet profitability and sustainability targets. This white paper details the journey Bharat Petroleum Mumbai Refinery (BPCL-MR) in Mahul, India underwent to improve operations while optimizing energy costs.

Today, refineries face the difficult challenge of maintaining and improving their gross refinery margin while meeting increasingly stringent emissions regulations. Refineries need to work in anticipation of new evolving emission regulations. Learn how BPCL Kochi refinery used Aspen HYSYS to develop a real-time refinery-wide digital twin for emissions monitoring enabling them to:

Why APC should be implemented on secondary units. Includes sections on environmental emissions control, fuel gas networks control and optimization, sulphur complex control and steam networks control.

When delivering an estimate on time and on budget, learn why it is important to focus on the components that matter most.

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.

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: