Project to visualize the drilling process and improve equipment monitoring for a major oil‑producing company

Our customer: One of the largest oil producers
Context: Challenges in collecting production data from over 100 dispersed wells

Delays and loss of data quality

Slow response of monitoring centers

Monitoring equipment corrosion control challenges

Incomplete data on the flow rate of operating wells
Industry: Oil production

Objectives

To create a system for visual monitoring of the oil production process
To improve equipment condition monitoring

Tasks

Solution

Result

Develop an analytical system to monitor work processes at oil wells
Increase the response speed of monitoring centers
Create a centralized information service for specialists of various profiles
Implement tools to forecast and identify anomalies in equipment operation
Automate pipe corrosion control using visual inspection tools
Improve flow rate assessment and operating modes for each well

Tasks

Solution

Result

Within a three months period, a comprehensive, interactive product using AI, ML and predictive analytics has been created. Its features and functionality include:

Effective visualization and monitoring of wells and technological processes
Centralizing and detailing information for specialists in all areas
Monitoring infrastructure using intelligent computer vision systems in combination with data obtained using UAVs
Assessing flow rates and production processes using a specially developed virtual flow meter based on computer modelling of wells

Key measures:

An intelligent analytical system has been created for monitoring more than 100 wells
Visibility, information content and the efficiency of data have increased
Multi-level ranking of data has been provided to enable quick decision-making
Real-time process tracking and convenient viewing of history have been provided
The number of wells under the control of each engineer has increased, as has the quality of control
Predictive analytics methods have been used to forecast emergency situations
Automatic monitoring of equipment corrosion has been provided using computer vision methods
A solution has been implemented to enable a virtual assessment of well flow rates

Tasks

Solution

Result

Improved data quality has enhanced the quality and efficiency of decision-making processes. Virtual flow rate modelling has reduced the cost of installing control equipment and optimized well operating modes.
Consistently predicting and visualizing equipment anomalies has reduced the time taken to diagnose failures and lowered emissions.

Up to 5%

reduction in estimated equipment downtime

Up to 15-25%

reduction in anti-corrosion inspection costs

Up to 50%

reduction in field and office work for corrosion monitoring and classification

TO PROJECTS