Our company offers complex solution in the field of neural network technology and artificial intelligence in the oil and gas sector. Technology is divided into stages of automation, intellectualization and in the future of robotics (supply and configuration of remote-controlled equipment in the fields).
The basis of the technology includes unique algorithms of the author's proxy modelling: correlation analysis and data clustering based on artificial neural networks, gradient methods for the solution of the optimization problem, a multivariate analysis of the events at the wells, methods of visual analysis, based on the conversion array of field data in images accessible to the perception of manufacturing professionals and a unique tiered system of managerial decision-making.
There are successful projects in the CIS. Plans to enter the market in the USA, Canada, India, and China.
More information when communicating.
Additional information
Digitalization is a major trend of oil and gas industry in recent years, and he would like to stay that way for a long time, so the development of innovative technologies guarantees the optimal development Trend 4.0. The automation, digitization of document management – all this is a strategically important steps for any company towards a digital future. The development of IT is now becoming a key factor in competition among enterprises of the oil and gas industry.
Digital technologies are used as a Supplement to traditioning the oil and gas industry technology to increase efficiency. Technology allows to increase production rates, recoverable reserves and to reduce costs. The introduction of digital technologies has led to an increase in recoverable reserves, reduction of costs and capital costs.
The increase in profits contributed to:
the growth of oil production
improving the efficiency of water injection into the reservoir
reduction of water production, respectively, and volume along with
oil produced water
improving the effectiveness of GTM
optimization of schemes of movement of brigades underground repair and overhaul
wells
pair of reengineering programs in the system arrangement, respectively
objectives effective management of the production.
Market analytics
The main trend in IT industry is rapid development of services that use machine learning technology and artificial intelligence based on neural networks. According to the International Data Corporation, in 2018 the cost of AI systems on a global scale was approximately 24, 9 billion US dollars. This year, it is expected that the industry will grow by almost half, at 44%. As a result, the world market volume will reach $35 8 billion In the period up to 2022 rate CAGR is projected at 38%. Thus, in 2022, the volume of the industry will reach $79, 2 billion, which is increase compared to current year more than doubled.
The uniqueness of the technology lies in training the neural network (based on the author's algorithms of the proxy modelling: correlation analysis and clustering) on the historical events of the deposits with the subsequent reproduction thereof, for the purpose of distribution of water injection in the system wells in which by reducing the water cut significantly increases oil production.
After the successful introduction of technology in the CIS countries, decided to strengthen the cycle of introducing full automation of the process, namely:
International project
Project price: 15 000 000
Investments volume: 220 000
Stage: Development of existing business
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Karn Stanislav