Study Of The 3D Fine Geological Modeling With Sparse And Dense Wells

As an important coalbed methane exploration and development area,southern Qinshui basin is rich in coal bed methane resources.Because of various properties(such as porosity,gas content,etc.)possess heterogeneity for coal reservoirs in a 3D space,and fine 3D geological model is favorable for fine characterization of these heterogeneous coal reservoir properties.With the deepening of coalbed methane exploration and development,research on fine 3D geological modeling method and constructing a fine 3D geological model of coal reservoir has become an indispensable process in coalbed methane resources development.Research of 3D geological modeling technology of coal reservoir was mainly focused on the 3D geological structure modeling and attribute modeling.This paper takes the Shizhuang south block,southern Qinshui Basin as the study area,to analyse 1398 unevenly distributed coal bed methane drilling and logging data,based on the comprehensive application of remote sensing geological interpretation,GIS analysis and 3D geological modeling technology,to optimize two aspects:fine expression of 3D geological structure model and fine characterization of 3D geological property model.Then results was shown as below:(1)Researched and then realized the surface lithology feature extraction and fault structure identification based on the GF-1 satellite remote sensing imagery through the integrated use of Remote Sensing Image Processing Technology such as:spectrum ratio method,the object-oriented multi-scale segmentation and classification,etc;Optimized the spatial location of coal seam fault structure,geometry and spatial orientation by constructing DEM model and combination of trend analysis,curvature analysis and edge detection;Construction of 3D stratigraphic model,3D fault model and fine expression of 3D geological structure model have been completed based on the surface remote sensing geological interpretation,optimizing coal seam faults,and 3D surface model,3D geological model.(2)By using the K-mean algorithm and the DBSCAN algorithm(based on density),the clustered analysis of the coalbed methane wells in the uneven distribution of the south block of Shizhuang and the optimization of the model boundary based on the spatial distribution characteristics of the wells,an independent sparse wells and dense wells were constructed;The mathematical model of log interpretation of coal reservoir properties(porosity,gas content)was builded based on the experimental data of well logging curve and gas content of 29 wells in the study area and use of multiple regression analysis;The construction of a 3D fine geological property model for 3#coal reservoir was completed based on the logging interpretation results of 1398 well coal reservoir in the research area,and the 3D fine geological structure model framework by divided sparse wells and dense wells,and 3D spatial interpolation using kriging and sequential gaussian simulation algorithm.