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On-Demand Webinar

How Braskem Idesa Reduced Their Reactor Fouling Rate by Using Multivariate Analysis and Existing Data

Improving reactor uptime is an ongoing challenge for most chemical and petrochemical organizations. During this webinar, learn how Braskem Idesa process engineers leveraged the multivariate analysis of Aspen ProMV™ to significantly extend the time between reactor cleanings and reduce fouling 100%.

Case Study

Polymers Producer Uses Digital Process Analysis to Reduce Costs and Advance Sustainable Operations

A polymer producer that specializes in the production of raw materials for the plastics industry, including polypropylene, polyethylene and masterbatch, needed a solution that would allow them to achieve the right balance between producing high-quality products and keeping the production costs in line. The company selected Aspen ProMV®, which allowed them to automate process analysis and monitoring.

Video

Digital Agility Realized with APC

In today’s ever-evolving global economy, energy and chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 Adaptive Control now embeds powerful AI machine learning algorithms to build seed models by simply mining historical data. In addition, operators and engineers are now able to find answers 24x7 to common questions and get actionable guidance from Aspen Virtual Advisor's augmented intelligence. View this video and learn how you can coordinate multiple APCs in closed-loop and optimize broad envelopes in real-time to align planning, scheduling and operation, significantly reducing margin leakage and energy costs.

Video

Maximize Supply Chain Resiliency with Optimal Downtime Scheduling

Achieve resilient operations by evaluating optimized downtime scheduling options to minimize impact on production and order commitments. Watch this video to learn how to leverage prescriptive maintenance and advanced scheduling optimization to make ideal downtime decisions.

Interactive Infographic

Aspen Unified Reconciliation and Accounting™ Infographic

Aspen Unified Reconciliation and Accounting (AURA) is the next generation production accounting solution that addresses key market needs: fast and efficient mass and volume balance, advanced analysis, reporting and visualization to enhance collaboration among key stakeholders and enable agile decision making. Use this interactive infographic to discover how AURA effectively manages the business process of measuring, validating, reconciling and publishing all the flows and inventories into, within and out of a plant.

On-Demand Webinar

Hybrid Models in Energy: Leveraging Industrial AI to Overcome Operational Challenges

A breakthrough innovation, Aspen Hybrid Models™ help energy companies quickly develop comprehensive, accurate models to address the most complex operational challenges.

White Paper

Seeing Into the Future with Prescriptive Analytics

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.

Case Study

Aspen Geolog™ Connector to OSDU Helps TotalEnergies Accelerate Decision-Making and Project Delivery

One of the key challenges in accelerating decision-making and reducing the development cycle of any operational E&P prospect is to seamlessly share the same updated data with all parties involved in the project. An Aspen Geolog-OSDU Connector was built by the AspenTech SSE team in close collaboration with TotalEnergies.

Video

Operations Decision Support- Application Overview

Linking vast amounts of plant data with either off line or online process models, engineers can improve operational decisions with deeper process insights. AspenONE Engineering will increase throughput and operating efficiency through data-driven decisions enabled by plant calibrated predictive models through an operator friendly interface.

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