Valeev Azamat Salavatovich Biography

So, here are the main theses: 1. The number of companies presented at the exhibition is really very impressive around-this year the oil and gas exhibition and the conference in history gathered in Abu Dhabi this year. For example, the largest industry exhibitions in Moscow are collected near companies. But, often there are several companies on the Adipec in the framework of one stand, so the size and total area of ​​the exhibition is not giant.

The whole exhibition can be circumvented in 1, out of only 4 days, if you do not rush anywhere. Representatives interested in technology go around the exhibition in the search for new and interesting, but do not stand at the stands. Even the smallest stand gives a huge number of new acquaintances with interested professionals from 50 to new contacts per day. This year, at the exhibition, a separate extensive Digitalisation Zone zone was created for companies that implement the industry 4.

Unfortunately, in our opinion, the zone was not always filled with target companies. Some were frankly attracted by the ears and did not even have a relevant experience in oil and gas even before. Some solutions in Digitalization Zone did not seem to be a revelation. Suppose a video camera on the helmets of workers, so that the master can control the work of all remotely or flying drones, as well as all kinds of sensors combined into a single system.

Although there were good solutions: for example, a young company from Canada offered a program to optimize the distribution of cattle crews on wells to the market. A similar decision was implemented in Russia in the years by one large oil producing company in partnership with foreigners. But still, in the world, the same ideas in different countries arise in parallel and develop in parallel.

This is cool. So, the problem we solve is universal, and we work in Russia in the framework of global practice. We used the latest developments in the simplified physical models of the Insim type to speed up calculations and adapt hundreds, thousands of models in automatic mode.

We additionally limited the solution of solutions in simplified physical models using machine learning and now we are preparing the release of the most robotic product in the field of oil field development - a second -generation Nest software complex. We know more about the distribution of oil and the mutual influence of wells, layer pressure. Now Nest Lab sets itself the most ambitious goal - to make it possible to use our achievements as many engineers around the world as possible.

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