Case Study: Argentina's Largest Oil and Gas Company Improves Reliability and Efficiency with Aspen Mtell

Improving efficiency, reliability, and productivity through data-driven maintenance.

Achieving operational and profitability goals in capital-intensive enterprises is largely influenced by the ability to avoid (or minimize) asset failures and the resulting unplanned downtime. Aspen Mtell is characterized by its comprehensive solution that combines rule-based and condition-based monitoring, first-principles modeling, AI machine learning, and custom models developed by data science teams to monitor asset health and performance. Aspen Mtell meticulously tracks various operational parameters and captures subtle changes in behavior to quickly identify signs of anomalies, effectively and rapidly assessing asset risks. This enhances asset reliability, reduces operational costs, and strengthens commitments to safety and sustainability.

• Plant Maintenance
• Other plant design, development and maintenance

The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without causing any thermal impact on the base material. Repairs can be carried out in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If a detailed technical explanation is needed, please contact us.

The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without causing any thermal impact to the base material. Repairs can be carried out in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If a detailed technical explanation is needed, please contact us.

● The production time for casting prototypes can be shortened! Since model production is not required, the time needed to create prototypes, which previously took about a month, can be significantly reduced. ● Model costs can be reduced! By directly producing sand molds from 3D data, there is no need for model production costs. If changes to the model are necessary, they can be addressed by modifying the 3D data. ● Similar products with different shapes and dimensions can be prototyped simultaneously! With one molding process, different products with similar shapes or varying dimensions can be molded at the same time. This allows for the verification of multiple types in a short period.

In the field of collaborative robots, there is a demand for reduced startup labor, energy efficiency, and safe yet flexible handling performance. In particular, reliance on compressed air systems and complex wiring and piping can pose challenges during installation and operation. Piab's "piCOBOT Electric for ABB GoFa" is a plug-and-play electric vacuum gripper solution optimized specifically for ABB GoFa. Its all-electric design generates vacuum using only electricity, eliminating the need for compressed air. This enables the creation of a clean, quiet, and energy-efficient collaborative robot cell. Furthermore, by adopting ABB GoFa-specific software plugins, designated cables, and standard ISO machine interfaces, smooth integration into the ABB control environment is possible. This supports rapid startup and stable operation. Read the article here: https://www.piab.com/ja-jp/news/piab-launches-picobot-electric-for-abb-gofa

We have added the DL material "Explained in Manga! Let's Prevent Technical Information Leakage to the Outside with CrackProof Software Protection!" to the DNP Hypertech site. In the manufacturing industry, there is a growing awareness of measures against the leakage of technical information. Many companies seem to have already established sufficient rules and measures for information protection when exchanging data with external parties. However, when it comes to cases where in-house software suffers from cracking (unauthorized analysis and tampering) and information leaks occur, the current measures are still not adequate. We have explained the measures against technical information leakage through software protection in an easy-to-understand manga format. Please take a look.