Gathering fuzzy technique and model - identifying technique to processing research , fuzzy model - identifying technique , a intersecting science , has been come out , which has become hoto in this thesis , based on deeply researching the fuzzy unit - identifying and complete analysis on data of measuring well of the chandqing wushenqi district , the method of constructing self - adapting multi - dimension non - liner subjection degree function has been created without precedento based on the extraction of routine measuring well character parameters , and for adopting self - adapting method to carry through character compression , the model has been improved the performance and enhanced the convergence speed and sorted precision of the algorithm o the relation of measuring well information and the oiliness & gassiness of sandstones is fuzzy ? in the thesis , the law of max subjection degree has been studied and improved , and proved preferable effect in the practical application 论文在提取一些常规测井特征参数的基础上，采用自适应方法对各变量多项式进行优选，减少了特征参数间的相关性，突出了类别间的差异性，从而优化了模式的质量，提高了分类的精度。测井信息和砂体的储集性之间的关系是带有模糊性的，论文对模糊“最大隶属原则”进行了研究和改进，并在实际应用中取得了较好的效果。论文成功研制了“自适应”的算法和软件? ?即通过对正确回判率的比较，然后对参数进行调节的办法，可将模式“训练”到最佳状态。
