Solution

Intelligent Management and Decision Support System for Oil & Gas Field Production

With a modular design philosophy and following the design standards of unification, standardization, refinement, and typification, the system achieves optimized layout, module partitioning, process flow, and equipment selection. This greatly improves the efficiency and quality of engineering construction while reducing construction and operation costs as well as safety risks.

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Precise model for intelligent fracturing of shale oil (gas)

Data Acquisition and Monitoring

Using advanced sensors and data acquisition technologies, the system monitors fracturing parameters in real time and transmits the data to a cloud platform for analysis.
Automation and real-time data processing technologies enhance the efficiency and accuracy of data collection.

Data Analysis and Modeling

Using big data analytics and machine learning algorithms, the system processes fracturing data to build accurate production capacity prediction models.
Regression analysis of historical data, together with geological and engineering insights, enables the comparison and optimization of different fracturing schemes.

Intelligent Fracturing Evaluation System

Develop an intelligent fracturing evaluation system that tracks fracturing performance in real time and adjusts parameters based on live data feedback.
Leverage AI and deep learning to optimize fracturing design and improve oil and gas productivity.

Intelligent shale oil extraction system

Construction of the Data Acquisition System

Monitor and record extraction process data in real time to ensure complete and accurate data collection.
Build a data transmission platform that enables real-time upload of collected data to a cloud platform or local server for efficient analysis and processing.

Artificial Intelligence and Machine Learning Algorithms

Leverage machine learning and deep learning algorithms to analyze massive datasets, identify key capacity-related factors, and build multidimensional data relationship models.
Train AI models to predict and optimize extraction process data, and develop intelligent extraction strategies.

Extraction Lifecycle Modeling and Prediction

Integrating historical and real-time data, the system builds a lifecycle prediction model for shale oil extraction to forecast future oil and gas production trends.
Based on the predictions, it recommends dynamic adjustments and optimization measures, including changes to extraction pressure and well layout, to boost production efficiency. The model also pinpoints production bottlenecks, optimizes extraction technologies and equipment, and supports sustainable oilfield development.

Intelligent Decision Support System

Develop an intelligent decision support system that integrates AI technology with extraction process needs to deliver a comprehensive intelligent management and control solution.
The system offers real-time extraction recommendations, enabling operators to make more precise decisions.

Core technology

High-Precision Sensors

Real-time monitoring of oilfield production status and collection of key data through sensors and equipment to ensure efficient oilfield management.

Big Data and Analytics

Real-time monitoring of oilfield production status and collection of key data through sensors and equipment to ensure efficient oilfield management.

Artificial Intelligence (AI) and Machine Learning (ML)

Real-time monitoring of oilfield production status and collection of key data through sensors and equipment to ensure efficient oilfield management.

Automation and Unmanned Technology

Real-time monitoring of oilfield production status and collection of key data through sensors and equipment to ensure efficient oilfield management.