Seismic inversion of rock properties is crucial for geoscientists assessing the integrity of reservoirs and surrounding formations. Geophysicists face challenges such as limited seismic data resolution, structural complexity and the need for high-productivity technology to meet project deadlines.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.

Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.

Process safety remains a priority for companies, but balancing the design of safety systems to withstand risks against higher CAPEX costs is challenging. Accurate, efficient modeling of depressurization is key, especially in carbon-capture processes.

In today's dynamic energy landscape, utilities face increasing pressure to optimize operations, enhance grid reliability and improve safety and security. This webinar will showcase how AspenTech’s robust Supervisory Control and Data Acquisition (SCADA) solution empowers your organization to achieve these critical goals.

Discover AspenTech Inmation, a cutting-edge industrial data fabric designed to optimize data-driven operations.

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.

Process industries, especially refineries, must continually adapt to operational changes driven by variations in feedstock, product demands, and other factors. Moreover, many critical KPIs cannot be directly measured in real-time within an operating plant.

Developing automated 3D models during pre-FEED and FEED can drive down material costs, enhance asset visualization and help identify an optimal design early, minimizing revisions in later engineering phases.

The influx of renewable energy sources is transforming the utility landscape, presenting both unprecedented opportunities and significant challenges. Utilities face increasing pressure because of the lengthy engineering review process and grid capacity analysis required to add new solar, wind, batteries and other distributed energy resources (DERs) to the grid while maintaining grid stability and profitability.