Research On 3D Engineering Geological Attribute Modeling Method Based On Logging Data

With my country's economic and social development,people's requirements for safety and economics in engineering construction have also been raised to a higher level.At the same time,the geological hazards and engineering geological problems caused by the complex geological environment in the region severely restrict the development of engineering construction.Under this background,how to obtain the geotechnical parameters of regional engineering cost-effectively is a very practical task.Indoor geotechnical testing is the traditional main method for obtaining geotechnical physical and mechanical parameters.There are deficiencies such as low efficiency in obtaining test samples,many test categories,and high test costs.But also as a means of reflecting the rock and soil status of the formation,borehole logging has natural advantages: simple and comprehensive data acquisition,low cost and large amount of existing data.In this paper,Fengdong Fengxi New City in Xixian New District was used as the research area.The logging data and geotechnical data were studied and the following work was completed:(1)Based on borehole layering data and logging data,the method of constructing a multi-parameter 3D engineering geological attribute model was explored,and 11 full-area single-area random parameter logging models including apparent resistivity were established.Good description and display of the spatial distribution law of engineering geological characteristics of rock and soil mass,providing a data basis for parameter fusion;(2)By analyzing the inherent physical basis of logging parameters and geotechnical parameters,it is found that logging parameters can reflect the influencing factors of geotechnical parameters to a certain extent,and also reflect the changes of geotechnical parameters.Theoretically confirms the feasibility of using logging parameters to estimate geotechnical parameters;(3)Based on well logging data and geotechnical test data,using artificial neural network method and equivalent parameter principle,the engineering geotechnical parameter estimation method is explored,the compression coefficient,compression modulus and collapsibility coefficient are analyzed,and the estimation result is found The relative errors are 21.52%,23.96% and 9.24%,respectively,and the equivalent compression coefficient is obtained and applied to the calculation of settlement level prediction.