Accelerate project execution by using volumetric models and one common costing method from conceptual to detailed engineering, leveraging the speed and agility of the market-leading cost estimation solution.

Changes are a part of the life of an estimator. Aspen Capital Cost Estimator helps you make those changes quickly, so you can analyze and address the updated costs and man-hours. Start your 1-day online trial today to take a guided tour to add spare equipment, include a quoted cost and change the material of construction for the equipment.

Scope changes in early feasibility studies cause cost estimators to struggle updating the estimate. Aspentech's Decision Analyzer functionality in Aspen Capital Cost Estimator simplifies this workflow with just a few clicks. Start your 1-day online trial today and take a guided tour to evaluate the economic impact of rescaling plant capacity and modifying the engineering or construction location.

Estimators can compare both construction methods, analyze cost and schedule tradeoffs and support an early optimal execution decision. Start your 1-day online trial today to take a guided tour of creating a modular area, defining construction and engineering workforces, configuring the project scope and running an economic evaluation comparison with Aspen Capital Cost Estimator.

See how the results of BLOWDOWN Technology in Aspen HYSYS compare with published results.

Adoption of ACCE can easily follow a known process that leverages organizational alignment, implementation of the software and a change in workflow processes that maximizes benefits.

Simultaneous engineering and costing, heat exchanger design, Optioneering, Concurrent Conceptual Engineering, Risk Analysis

Reduce FEED package preparation time and decrease rework by allowing engineering design changes to propagate consistently through interconnected FEED tools.

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. In this white paper, learn how this disruptive technology deploys precise failure pattern recognition with very high accuracy to predict equipment breakdowns months in advance and advise on prescriptive maintenance. The paper also outlines five best practices for driving state-of-the-art reliability management to increase production and profitability.

Mining companies invest heavily in equipment for all stages of mining, mineral processing, refining and distribution. By monitoring asset condition and behavior and developing profiles of normal operations, anomalies and failures, predictive maintenance tools can notify staff of equipment problems prior to failure. This paper outlines how predictive maintenance provides mining organizations the intelligence needed to: