OUR MOVE

Each day brings a new chapter to our book of knowledge and we embrace lessons and new experiences with open arms. From our past management of our clients’ challenges to a sneak peek at what the future holds in the world of maintenance — understand more from our blogs.

Case study: Our solutions for potential malfunction in ethane separation plant

A case study of an incident at a ethane separation plant which engineers of The Soothsayer has resolved using predictive algorithm-based maintenance.

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Driving the future with predictive analytics maintenance

What could the predictability of statistics analytics maintenance offer businesses for future growth?

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How could machine learning cut costs and save time?

Breaking down two of the most important factors in businesses: time and cost, and how the predictive capability of statistics analytics maintenance can save both of these.

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Predictive analytics maintenance vs alternative risk responses

How does the predictive characteristics of analytics maintenance compare to other types of maintenance.

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PTT’s reach into the world of predictive machine learning

The future approach of one of Thailand’s biggest energy conglomerates, PTT and how adopting machine learning can promote sustainability.

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Risk assessment through types of maintenance: past to present

From past to present, we take a look at how engineers assessed risks based on different models of maintenance from corrective to predictive methods.

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Prevention approach for unplanned shutdown in oil production

Unplanned shutdown in oil production is a costly disaster but it could happen. The question is: how can it be prevented?

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