Research on thin coal seam identification based on geostatistical inversion
To improve the accuracy of interpreting the thickness of thin coal seams,a geological model containing multiple layers of thin coal seams was constructed,and seismic profiles were forward simulated.The reliability of geostatistical inversion was validated by simulating a geological model,and forward modeling was performed on the model.The obtained post stack seismic data was compared through logging constrained inversion and geostatistical inversion.Focusing on geostatistical inversion,the impact of deconvolution consistency processing was analyzed.The results indicated that appropriate deconvolution processing could improve the inversion accuracy of thin coal seams,and high logging density could increase the accuracy and improve consistency of geostatistical inversion.Under the premise of appropriate deconvolution processing and high signal-to-noise ratio logging density seismic data,the thinnest coal seam with a thickness of 0.8 m could be identified through geostatistical inversion.
NETL
NSTL
万方数据
