SETC offers the deployment of the EPDOS-FMI^TM Fracturing Optimization Software Platform, alongside the establishment of a Fracturing Optimization Center (FOC) for clients. The FOC integrates real-time data from fracturing wells and leverages advanced information technology to deliver comprehensive fracturing process optimization and on-site operational support. This enables the achievement of key objectives, including real-time fracturing analysis, precise process control, and in-depth effect evaluation.

Pre-Fracture Preparation: The primary focus will be the post-fracturing performance evaluation of the old wells within the designated target zones, aimed at optimizing fracturing parameters in accordance with the reservoir’s unique geological characteristics. A comprehensive review of horizontal well drilling success rates and trajectory alignment will be conducted to ensure the selection of the most suitable stimulation techniques. Potential fracturing interference risks will be identified, design parameters adjusted accordingly, and a comprehensive risk mitigation strategy will be developed to ensure operational integrity.

In-Fracture Monitoring and Control: By leveraging the full capabilities of the proprietary software platform, SETC integrates both fracturing and operational monitoring data, ensuring continuous, round-the-clock oversight of the fracturing operation. This is achieved through a dual approach combining on-site daytime supervision with remote nighttime monitoring. This approach guarantees stringent quality control of the fracturing process, enabling the timely identification and assessment of complex issues, and facilitating swift decision-making to optimize operational efficiency.

Post-Fracture Evaluation: A thorough analysis will be conducted by integrating horizontal wellbore reservoir quality, fracturing parameters, monitoring data, and post-fracturing production performance. This holistic evaluation will assess the effectiveness of the fracturing process and refine the geological-engineering model to enhance the understanding of the key drivers of reservoir productivity. As a result, the primary factors influencing well output will be identified, and a strategic roadmap for future production optimization will be established.