CAJ | 학술논문

在地质勘探过程中，由于技术、设备的客观条件限制，造成了部分基础地质数据的缺失，这使得矿床建模时地质数据不够完整准确，直接影响了矿体形态及储量估值的精度。为了向矿床模型的构建环节提供完整且可信的基础地质数据，首先研究了地质缺失数据的产生机制，并通过对比分析期望—极大化算法（EM 算法）、马尔可夫—蒙特卡洛方法（MCMC 方法）以及 BP 神经网络等数据插补方法的特点及适用条件，提出了基于 BP 神经网络的地质缺失数据处理方法，构建了地质缺失数据处理的 BP 神经网络模型，并在山东某金矿进行了实际应用与模型验证。结果表明，模型可以实现地质缺失数据的部分插补，插补结果可信，可以有效解决因基础资料缺失所带来的地质数据不完整问题。
재지질감탐과정중，유우기술、설비적객관조건한제，조성료부분기출지질수거적결실，저사득광상건모시지질수거불구완정준학，직접영향료광체형태급저량고치적정도。위료향광상모형적구건배절제공완정차가신적기출지질수거，수선연구료지질결실수거적산생궤제，병통과대비분석기망—겁대화산법（EM 산법）、마이가부—몽특잡락방법（MCMC 방법）이급 BP 신경망락등수거삽보방법적특점급괄용조건，제출료기우 BP 신경망락적지질결실수거처리방법，구건료지질결실수거처리적 BP 신경망락모형，병재산동모금광진행료실제응용여모형험증。결과표명，모형가이실현지질결실수거적부분삽보，삽보결과가신，가이유효해결인기출자료결실소대래적지질수거불완정문제。
In the process of geological exploration,due to the limitation of technical and equipment objective conditions,there are lots of basic geological data missing.It causes that the geological data is not complete and accurate as building the deposit model,and has a direct impact on the accuracy of the orebody shape and reserves estimation.In order to provide the complete and believable data,so that the deposit model will be more realistic. Firstly the generation mechanism of geological missing data is studied to find out the method which geological missing data obeys.By means of comparing and analyzing the features and applicable conditions of Expectation Maximization(EM) algorithm,Markov Chain Monte Carlo(MCMC) method and Back Propagation(BP) Neural Network,then an interpolation method of geological missing data which based on BP neural network is selected and introduced,and the relative model of processing geological missing data is built up.Finally the whole method is applied in a certain gold mine in Shandong.It has been proved that the model can achieve interpolation of most of the geological missing data,and the results are reliable.In short,it is feasible and effective using the model to solve the integrity problem of geological data caused by basic data missing.