Petroleum InspectionRobot Solution

Scheme Introduction

Based on the characteristics of the oilfield industry, we provide an intelligent robot solution for oilfield inspection. With intelligent robots as the core, we achieve autonomous detection of the well environment and equipment, and carry out equipment inspection in key and high-risk areas of the well area. This will accelerate the digitalization and intelligent management level and development process of oilfield well areas.

The inspection robot uses highly intelligent robot technology and image recognition technology to replace manual inspection and diagnosis of equipment operation status in special environments, achieving full coverage inspection of equipment areas. It has multiple functions such as meter recognition, equipment status recognition, infrared temperature measurement, environmental monitoring, oil and gas leakage detection, video live streaming, etc. It can effectively reduce safety hazards such as equipment shutdown, oil leakage, fire, theft, etc., alleviate the problem of weak power of duty personnel, and improve work efficiency.

Pain Point Issues

There are many safety hazards

Traditional manual inspection has problems such as high labor intensity, high level of danger, and inability to detect equipment hazards in a timely manner.

Poor Inspection Quality

Inspection personnel need to have professional skills and a high sense of responsibility, but they are prone to fatigue and slackness, and the quality of inspection cannot be guaranteed.

High User Costs

Difficulty in recruiting workers and continuously rising labor costs.

System Architecture

Core Functions

Advantages and Characteristics

• Leading domestic autonomous positioning and navigation technology

Fully independently developed, with its own intellectual property rights, SLAM professional manufacturer, and one of the few teams in China capable of achieving large-scale mapping in complex terrains (existing 1000 meter x 1000 meter maps have been put into use), multi-sensor fusion navigation and obstacle avoidance methods for automatic navigation in open outdoor areas.

• Image recognition and SLAM fusion, highly intelligent robot

The robot is highly intelligent, with fast collection speed and real-time processing; Based on deep learning recognition algorithms, the autonomous movement of robots is utilized to improve the recognition rate of meters, text, etc. by over 96%.

• Meet the requirements of working in harsh environments

Robots can work normally in winter at minus 30°C and in summer at a surface temperature of 65°C. Support 5G technology, comprehensive intelligent recognition, big data processing and feedback functions, to achieve low latency and high bandwidth transmission requirements.

• Intelligent inspection, reducing costs and increasing efficiency for users

Automatic inspection of outdoor areas solves the problems of high labor intensity, low work efficiency, high risk factor, and inability to guarantee inspection quality in traditional manual inspection, and realizes the transformation of oil fields from manual inspection to "unmanned inspection".

Application Cases

In the oil production area of a certain oil field, the temperature fluctuates greatly throughout the four seasons, with frequent sandstorms and snowfalls, mountainous and hilly terrain, uneven surface pits, and many low shrubs and pipelines, autonomous inspection by robots is achieved; Detecting the operating status, oil leakage, and meter identification of oil extraction machines; Realize real-time video transmission of robots carrying cameras; Implement 18 hour daily inspections.

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