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PPII ,即中国大陆科学钻探预先导孔—Ⅱ孔 ,该孔完钻深度为 1 0 2 8 6 8m ,钻孔直径 75 5mm ,中国大陆科学钻探在PPII孔进行了电阻率、自然电位、自然伽马、密度、中子、声波、成象等 1 0多种参数的测井 ,取得了宝贵的原位测井资料。本文利用测井资料、结合录井资料等划分岩性 ,对测井响应特征进行了分析 ,统计提取了该孔各种岩性的物性 ,利用交会图技术清晰地展示了该孔各种岩石的物性变化范围 (物性分区 ) ,同时 ,在提取岩石物性的基础上 ,利用BP人工网络识别了该孔的岩性 ,并根据榴辉岩、片麻岩的主要矿物组分 ,建立利用测井资料计算矿物成分的模型 ,并利用最优化方法测井求解响应方程组 ,计算矿物成分含量
The PPII, a pre-pilot hole-Ⅱ hole for the Chinese mainland, drilled at a depth of 102.88 m and a bore diameter of 75 mm, was used in the Chinese mainland for drilling in PPII wells. The resistivity, natural potential, Horse, density, neutron, sound wave, imaging and other 10 kinds of logging parameters, and made valuable in situ logging data. In this paper, logging data, combined with logging data and other sub-lithology, logging response characteristics were analyzed, statistical extraction of various properties of the lithology of the hole, the use of intersection graph technology clearly shows that the hole of various rocks Based on the extraction of petrophysical properties, BP artificial network was used to identify the lithology of the pore. According to the main mineral composition of eclogite and gneiss, Calculate the model of mineral composition, and use the optimization method to log well to solve the response equation, calculate the mineral content