In the heart of China’s coal mining districts, a groundbreaking technique is set to revolutionize how seismic data is processed, offering significant commercial advantages for the energy sector. Led by WANG Zhongwei of Mengxi Coal Chemical Industry Co., Ltd., part of CHN Energy, this innovative approach to 3D seismic data merged processing promises to enhance the accuracy and efficiency of coal mining operations.
Seismic data is crucial for understanding the subsurface geology of coal mining districts. However, the inconsistency of acquisition parameters and varying construction conditions across different areas have long posed significant challenges. WANG Zhongwei and his team have tackled these issues head-on, developing a solution that ensures seamless integration of 3D seismic data from disparate sources.
The key to their success lies in a meticulous processing flow that addresses static correction, denoising, and migration. “By combining static correction and residual static correction, we can calculate the static correction amount for different areas and achieve a uniform static correction across the entire region,” explains WANG. This uniformity is vital for accurate subsurface imaging, which in turn enhances the precision of mining operations.
One of the standout features of their method is the pre-stack combination denoising technique. This approach involves classifying, step-by-step, frequency division, domain division, and time-division processing to selectively suppress noise. The result is a significant improvement in the signal-to-noise ratio of seismic data, making it easier to identify critical geological features.
Another innovative aspect is the surface consistency amplitude compensation method. This technique eliminates spatial differences in seismic wave energy caused by changes in shot and receiver points, ensuring amplitude balance across the entire area. “This method helps in achieving a consistent and reliable seismic image, which is essential for making informed decisions in coal mining,” WANG adds.
The migration process is equally crucial. By establishing a reasonable migration velocity body and performing pre-stack time migration, the team obtains migration data with clear wave group characteristics and accurate positioning of reflection waves and fault plane waves. This level of detail is invaluable for identifying potential hazards and optimizing mining strategies.
The practical implications of this research are immense. Improved seismic data processing can lead to more accurate resource estimation, reduced operational risks, and enhanced overall efficiency in coal mining. For the energy sector, this means better resource management, increased productivity, and ultimately, a more sustainable approach to coal extraction.
The research, published in the Journal of Mining Science, underscores the importance of advanced seismic data processing in the coal mining industry. As the energy sector continues to evolve, techniques like those developed by WANG Zhongwei and his team will play a pivotal role in shaping the future of coal mining. Their work not only addresses current challenges but also paves the way for future innovations, ensuring that the industry remains at the forefront of technological advancement.
