利用元素俘获谱测井法的到的地层主要造岩元素含量构建地层主要造岩矿物模型为研究目的,通过收集近万条真实岩石测试数据,建立及训练BP人工神经网络模型,最终构建了通过Si、Al、K、Ca、Mg、Fe、S主要造岩元素信息得到地层石英、长石、粘土矿物、石灰石、白云石五种造岩矿物含量信息的一种测井解释模型,通过对解释模型的测试,与实测样品的结果对比,有较强的相关性。 By using the trapping method of elemental tracings, we can build the main rock-forming mineral model of stratigraphy for the purpose of research. By collecting nearly ten thousand real rock test data and establishing and training BP artificial neural network model, A Logging Interpretation Model Based on the Information of Main Rock-forming Elements in Si, Al, K, Ca, Mg, Fe, S It is found that the information of five rock-forming minerals such as quartz, feldspar, clay minerals, limestone and dolomite can be interpreted. The model test, compared with the measured sample results, has a strong correlation.