Optimizing chemical processes requires input from multiple disciplines – engineering, costing, safety and environmental. Evaluating these factors early in the design lifecycle significantly improves the quality of the design and reduces time spent collaborating across teams.

Accuracy in cost estimation is crucial for the success and feasibility of capital projects. Yet cost estimates often involve uncertainty and unforeseen circumstances that can negatively impact the project timeline and budget.

Process simulation, cost estimation and 3D models are crucial to engineering projects, leading to better, more accurate designs. Now imagine seamlessly integrating these disciplines into one concurrent workflow for real-time collaboration that dramatically saves time and reduces costs.

Delivering energy transition projects on time and on budget requires tight collaboration across multiple disciplines to synchronize various deliverables.

Cost estimation is one of the key aspects of any engineering project, as it provides the basis to decide the feasibility and budget for the project. Yet cost estimation is often enclosed by uncertainty since during early engineering stages there is still very little information available. How can engineering teams find the most profitable designs when the project is still under development?

As the hydrogen economy continues to gain momentum, organizations are looking for faster, more efficient ways to design and deploy hydrogen projects. Growing pressure to meet sustainability targets is only increasing the demand to make these initiatives both viable and profitable.

Leading chemical companies across the globe face more competitive pressures with volatile market conditions and a rapidly changing workforce pushing the demand for increased sustainability and profitability. Digital twin software offers new levels of operational excellence through enterprise-wide insights that drive improved business operations.

Recently AspenTech and the ARC Advisory Group conducted a study on the circular economy among industrial manufacturers. Early results indicate that complex supply chains and proven technologies are the most significant barriers to achieving circular economy goals with 75% of respondents believing digital capabilities are essential.

Actualmente existe mucho interés en las iniciativas de digitalización en la industria de proceso, diseño de equipos, diseño de tuberías, la estimación de costos y la planificación de la construcción. Durante este webinar conozca cómo puede aprovechar los datos de ingeniería y estimación de una forma más eficiente para una finalización de FEED más rápida y transferencia de datos a ingeniería de detalle.

With digital initiatives underway in the process industries, equipment layout, piping design, cost estimation and construction planning are getting a long-overdue overhaul. Learn how you can more easily move your engineering and estimating data across these functions for faster, more efficient FEED completion and handoff to detailed design.