Plant engineers often face disjointed workflows and a lack of critical information to make quick, informed decisions when troubleshooting equipment issues. Now, with the Alert Manager functionality within Aspen Mtell®, engineers have access to a centralized interface that allows them to identify the cause of the problem and prioritize the equipment criticality and failure mode severity for any alerts in queue through an interactive risk matrix. View this video now and discover how Alert Manager can help you to focus on the most critical issues, enabling you to improve equipment performance and increase profitability.

DuPont Selects AspenTech

Novozymes A/S, a global biotechnology company based in Denmark, was looking to support the development and optimization of biodiesel processes due to increasing biodiesel market demand, rising materials costs and more stringent industry regulations.

Achieve supply chain resilience with downtime scheduling that leverages prescriptive maintenance and advanced scheduling optimization to minimize impact on production.

A global leader in industrial data management from the shopfloor to the boardroom, we accelerate data-driven value creation in asset-intensive industries through robust data software offerings. 

Seismic data can provide useful information for prospect identification and reservoir characterization. Combining seismic attributes helps identify different patterns, for improved geological characterization. Machine learning applied to seismic interpretation is very useful in assisting with data classification limitations.

In depth imaging, depth calibration using well-tie updated velocity is generally applied to poststack data. This is the most correct type of depth calibration as it positions structures in their proper places.

One of the main challenges in seismic imaging, especially of land data, is building the near surface velocity model, as it is normally characterized by very low velocity values with different types of local anomalies. Resolving the near surface velocity model using only refraction data is insufficient, as it does not provide the required lateral resolution. Using only reflection data is equally insufficient, as it does not provide the required vertical resolution.

Geothermal energy is a key resource for providing clean, reliable and sustainable energy. Induced seismicity events, with magnitudes large enough to be felt by local communities and impact surface infrastructures, are an undesirable potential result of geothermal operations, and significantly impact social acceptance. Mitigating adverse effects is of upmost importance if one wishes to increase the number of safe, sustainable geothermal projects.

Aspen Economic Evaluation provides an integrated estimation solution for effective management of projects across the entire lifecycle.