Patent AU-2022203535-A1 (AU)
Title: Method for identifying stratigraphic structures in red soil area based on shallow seismic refraction wave method
Inventor: SONG XIAODONG
IPC: G01V1/28
Filed: 2022-05-25
Abstract: TEXT OF THE ABSTRACT 
The present disclosure relates to a method for identifying stratigraphic structures in a 
red soil area based on a shallow seismic refraction wave method. First, steps A to K are 
performed to obtain an optimal prediction model corresponding to the depth of each 
stratigraphic structure in the target operating region; and then step i is performed to 
obtain a spatial distribution of the depth of each stratigraphic structure in the target 
operating region according to the optimal prediction model corresponding to the depth of 
the stratigraphic structure. The designed solution fully retains the advantages of the 
existing seismic exploration technology; solves the application limitation problem of the 
shallow seismic refraction wave method in the red soil area; and further realizes the 
general shallow seismic refraction wave method technology of "traditional technology to 
improve operations; spatial prediction to enhance efficiency" by organic combination of 
the Geographic Information System (GIS) and spatial prediction, thus having a broad 
industrial application prospect in geological exploration, hydrogeological investigation, 
and other sectors.
DRAWINGS 
Start 
Conduct data collection and field survey for a target operating 
region, and lay out survey lines according to the topographic relief 
and the size of the operating region 
Obtain a horizontal distribution of depths of different stratigraphic 
Structures below each survey line , thus forming seismic profile 
data corresponding to each survey line 
Construct an independent validation set ProfIndep Valid and a 
spatial modeling set ProfSpatiModel 
Construct sample points on each survey line in the Spatial 
modeling set ProfSpatiModel 
Obtain a depth of each stratigraphic structure just below each For each stratigraphic structure, obtain data values of 
sample point on each survey line in the spatial modeling set environmental variables in an available environmental 
ProfspatiModel variables set associated with the depth of the 
Stratigraphic structure corresponding to each location 
For each sample point on each survey line in the spatial modeling inthetargetoperatingregion,andobtainthedepthof 
set Prof SpatiModel, obtain discrete environmental variables and the stratigraphic structurecorresponding tothe 
continuous environmental variables associated with the depth of Lcto ntetre prtn einb sn h 
each stratigraphic structure, to form an available environmental optimal prediction model corrEsponding to thedepth 
variables set associated with the depth of the stratigraphic . .  
strctreof the sTratigraphic struCture; and thus, obtainthe 
s depth of each stratigraphic structure cOrresponding to 
each location in the target operating region, to form a 
ProfSpatiMOdel into traiinngsample pointset CaliPProf anda spatial distribution of the depth of each stratigraphic 
validation sample e point set ValiPProf structure in the target operating region 
Train preset models to be trained , to obtain Predication models 
corresponding to the depth of each stratigraphic structure 
For each stratigraphic structure, based on each sample point in the 
validation sample point set ValiPPRof, obtain a first temporary 
optimal prediction model corresponding to the depth of each 
stratigraphic structure 
For the sample points in the independent validation set 
ProfIndepvalid, oBtain a second temporary optimal prediction 
model corresponding to the depth of each stratigraphic structure 
For each stratigraphic structure, obtain an optimal pRediction 
model corresponding to the depth of each stratigraphic structure 
( End 
FIG. 1 
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