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Study On Geophysical Prediction Of Water-bearing Roof Sandstone Of No.3 Coal In Changcun Coal Mine

Posted on:2020-10-02Degree:MasterType:Thesis
Country:ChinaCandidate:H J DuFull Text:PDF
GTID:2370330623955962Subject:Geological engineering
Abstract/Summary:PDF Full Text Request
According to the water content of the upper sandstone of No.3 coal seam in Changcun Coal Mine of Luan Mining Area,based on the geological structure characteristics of the mining area and various geophysical exploration methods,based on seismic data and logging data,AVO inversion and impedance inversion are used.And the probabilistic neural network inversion and other means,scientifically predicted the water content of the 3# coal seam roof in the area.Applying the above method to Changcun Coal Mine,based on the actual logging data and seismic data,A theoretical model suitable for the actual situation is established,and the water cut characteristics of 110 m sandstone on the top of no.3 coal seam are predicted.The prediction results are predicted.It is highly consistent with the actual geological conditions.For the prediction study of the water-richness of the roof sandstone,the Changcun Coal Mine in the Luan Mining Area was used as the research area to predict the sandstone of the 3# coal seam roof.The factors affecting the water-richness of the roof sandstone in the study area include sandstone thickness,sandstone water content and sandstone porosity.Based on logging data and pseudo-density curve inversion technology,the sandstone thickness is predicted.Using the data of density logging curve and natural gamma logging curve,combined with well-side wave impedance data,using probabilistic neural network inversion Technology,comprehensive prediction of the porosity of the roof sandstone in the whole area;identification techniques and earthquakes using a variety of logging data such as density,natural gamma,supplemental neutrons,apparent resistivity,natural potential,etc.AVO inversion technique,combined with multiple sets of logging data and seismic wave attribute data,predicted the water content of the top sandstone in this area from different perspectives.The prediction method of sandstone thickness in this paper is mainly to transform the inversion data volume into density data volume.According to the percentage of thickness of sandstone and mudstone,the thickness of sandstone layer in each section is calculated,and the actual thickness of sandstone actually exposed in the later stage is drilled.For comparison,it is found that the prediction accuracy of the thickness of each sandstone layer is high.Through the inversion,the porosity and water-rich distribution of sandstones were obtained.After comparing the porosity calculated by the logging curve,it was found that the accuracy of the porosity prediction was higher.The sandstone water-rich area at the top of the 3# coal seam in this area was The forecast is more accurate.In this paper,the water-rich characteristics of the top 110 m of the 3# coal seam of the Permian Shanxi Formation are studied.The comprehensive prediction method using various types of data such as logging data and seismic attributes is used to scientifically predict the area.The occurrence of roof water in the 3# coal seam,the prediction research results provide a reliable hydrogeological basis for the coal seam mining in the 3# coal seam and even the whole mining area in the Luan mining area and the sandstone water-rich research method.The paper has 85 pictures,5 tables,and 103 references.
Keywords/Search Tags:sandstone, water-rich, logging curve, pseudo-density curve inversion, AVO inversion, probabilistic neural network
PDF Full Text Request
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