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来源：百度知道 编辑：UC知道 时间：2024/09/28 08:50:56
火成岩岩性识别是火成岩油气储层评价的基础。火成岩岩性种类多，但个别岩性样品少，破碎、蚀变、沸石化等使火成岩产生多个岩性亚类，造成定量识别函数难以构建。本文以准噶尔盆地滴西地区火成岩为例，采用样品扩充法解决了这个问题。研究中，首先挑选岩性稳定的深度段内的样品，然后将其扩充为岩性亚类样本，再利用正态分布函数、R型因子分析和层次分析法联合建立岩性亚类的模糊数学隶属函数，最后遵照最大隶属度原则进行岩性识别，识别结果与岩心薄片鉴定资料比较，各种岩性平均解释符合率为82.77%，误识的岩性主要为凝灰岩和火山角砾岩，效果良好。
:It is essential to identify the lithology of igneous rocks in formation evaluation. However, there are many kinds of igneous rocks. Some are small in count; Some have many suborders because of nature fracture, alteration and chloritization. Result in that it is difficult to get the recognition function, which is used in the recognization of igneous rocks. The proposed measure in this paper may provide the method of expanding specimen to identify igneous lithology in Dixi Area in Jungger Basin. Firstly, pick up the sample located in the thick formation which has the same lithology, Secondly expand it in a specimen, which represents an suborder of igneous rocks. Thirdly establish the membership function by means of normal dist

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Igneous rock igneous rock lithology identification is the basis of oil and gas reservoir evaluation. Lithology types of igneous rocks, but less individual lithologic samples, broken, altered, such as zeolite so have a number of igneous rock lithology subclasses, resulting in difficult to build a quantitative identification function. In this paper, the Junggar Basin in western rock drops for example, the expansion of the use of samples solve this problem. Study, first of all, the depth of stability in the selection of lithology of the sample paragraphs, and then expanded to lithological sub-samples, and then use the normal distribution function, R-type factor analysis and analytic hierarchy process to establish a joint sub-categories of lithology Fuzzy Mathematics membership function, and finally the greatest degree of membership in accordance with the principles of lithology identification, identification of results and identification of core data sheet compared