Planning is integral to refinery profitability; this video will discuss some challenges with this important task, and share some benefits of doing it well. Because there are so many options when selecting which crude to run and which products to make, refiners need an optimizer to help make the best choices. Once the optimizer is in place, planners and modelers with the help of process engineers, must maintain model data. Aspen PIMS-AO is accurate, robust, and fast to deliver increased refining margins to your company. This video shows three examples of how leading refiners using AspenTech solutions to optimize their refineries. Learn more here: https://www.aspentech.com/en/applications/msc/refinery-planning.

Scheduling in a refinery is a complex problem with lots of data to handle. Learn from one of scheduling experts on how an advanced scheduling solution helps ensure smoother operations and better execution of the refinery plan.

Agile refinery scheduling software enables confident decision making. Improve responsiveness and decision making with refinery-wide scheduling that simultaneously schedules all key activities from within a single platform to increase production throughput.

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.

During this free webinar, learn how Aspen Utilities Planner and Aspen Utilities OnLine Optimizer help process and plant engineers manage and optimize energy cost using accurate modeling and optimization of utilities systems.

Aspen Utilities OnLine Optimizer is an integrated software solution that enables process plant operators to manage and optimize the way they use and source energy in the power station and across an entire production site. In this brochure you will learn how it enables companies to ensure that all their processes receive reliable supplies, while at the same time minimizing running costs by reducing overall consumption and identifying the most economical sources of supply.

In this episode of the ESG Decoded Podcast, Paige Morse, Industry Marketing Director at AspenTech, chats with Amanda Hsieh on the connective tissue between Artificial Intelligence (AI) and sustainability. AI is a key driver in the achievement of ESG goals as it supports the software capability that can help improve operations and make processes safer for people and the environment. Paige also explains the concept of Industrial AI. ESG Decoded Podcast is powered by Global Affairs Associates.

現在のVUCA環境において、新たなレベルの安全性、持続可能性、および収益性を実現する自律／半自律プロセスの開発のために、デジタライゼーションやAIに目を向ける企業が増えています。自己最適化プラントへのジャーニーはそこから始まります。自己最適化プラントがどのようにして以下のことを可能にするのか、是非このエグゼクティブブリーフでご覧ください。

Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. AspenTech® is uniquely positioned to leverage over 40 years of domain expertise to make AI applicable to the process industries. This next generation of solutions will democratize the application of AI with Aspen Hybrid Models to optimally design, operate and maintain assets—online and at the edge.

Learn how Borealis, a leading provider of innovative solutions in the fields of polyolefins, base chemicals and fertilizers, implemented Aspen PIMS-AO to support the optimization team and bring about better decision-making for more profitable results. This case study explores how Borealis achieved dramatically faster run time, employed nonlinear modeling, deployed planning models to a centralized, virtual environment, and eased software deployment time and maintenance with more efficient use of hardware.