Applications of Pasargad Energy Fracturing Process Design Specialized Laboratory at Amirkabir University of Technology
This laboratory has three main sections, each precisely designed for the study and optimization of acid and proppant hydraulic fracturing processes:
Equipment for Measuring Fracture Properties and Failure Conditions:
The first and main section of the laboratory includes devices for measuring key parameters in the hydraulic fracturing process, such as fracture conductivity, fracture pressure, and properties of acid and proppant. These parameters are essential for determining the most suitable material combinations and pressure conditions to create effective and stable fractures. By accurately analyzing these data, the process design can be improved, resulting in enhanced formation permeability and fluid flow into the production well.
Equipment for Evaluating Fracturing Fluid Additives:
This section is dedicated to testing and evaluating fluid additives used in hydraulic fracturing processes. By examining the physical and chemical properties of these additives, it is possible to design optimized acid-based fluids that will perform efficiently under reservoir conditions. This laboratory also provides the capability to assess and evaluate the quality of cementing operations and wellbore integrity. Given the complex structure of alternating high-pressure water and oil layers in reservoirs, optimizing cement quality behind casing plays a critical role in well stability, safety, and preventing fluid migration between layers while reducing the risk of water intrusion into the production section. Therefore, the quality control tests for cement and the simulations in this laboratory can significantly contribute to the improved design and execution of cementing operations, ensuring reliable results in field operations.
Modeling and Simulation Center Based on Artificial Intelligence:
This section utilizes experimental data to develop advanced, accurate simulation models based on artificial intelligence algorithms. By combining experimental data with AI techniques, it becomes possible to predict reservoir behavior and optimize hydraulic fracturing processes with high precision. These simulations can serve as powerful tools for designing and monitoring operations in various fields under different conditions, ensuring optimal outcomes in real-time applications.