应用测井资料自动确定沉积相的计算机程序  

A COMPUTER PROGRAM FOR AUTOMATIC DETERMINATION OF SEDIMENTARY FACIES FROM WELL LOGGING DATA

作　　者：肖义越[1] 赵谨芳 

机构地区：[1]中国科学院地质研究所,北京100029 [2]中国海洋石油测井公司,河北三河县101601

出　　处：《地质科学》1993年第1期68-78,共11页Chinese Journal of Geology(Scientia Geologica Sinica)

摘　　要：在没有取芯的情况下,设计了应用测井资料自动确定沉积相的计算机程序。该程序在测井岩性分析的基础上应用人工智能技术,对岩性剖面进行合理的岩性组合序列的自动划分,再将这种划分结果与已建立起来的沉积相模式进行统计比较,确定其所属的相类型,绘出一个完整而连续的相序剖面。文中以渤海辽东湾绥中36-1构造SZ36-1-5井为例,说明这一程序在应用测井资料自动确定沉积相方面具有较高的精度。For the wells with little or without cores, precise determination of sedimentary facies of the whole wells is difficult. In order to solve this problem, a computer program for automatic determinations of sedimentary facies from well logging data have been developed by the authors on the basis of automatic determination of lithology.This program can provide analysis of faciolog of one well with a lithologic column and its simple description, as well as facies sequence profile and its brief explanation.The design of this program is based on such consideration: faciolog analysis is a symhsi-zed work. First, lithology and ifs combination sequence in well profiles must be analyzed; second, primary sedimentary structures and its combination sequence in well profiles must be studied. Only the two conditions are combined and compared to certain sedimentary facies, accurate automatic determination of sedimentary facies in well profiles can be achieved.This program uses normal well logs. First, through lithology analysis of measured member of the profile with a computer program of automatic determination of lithology, a lithologic column in terms of symbolic string of integer code can be obtained. Then, using status transformation principles of artificial intelligence, automaticaly statistical comparison between this result and the existing result, sedimentary facies model inidentification matrix is preformed and facies types can be de, termind. Therefore, automatic classification of facies sequence of measured member of the profile in one well can be reached.This program has successfully applied to automatic classification of facies sequence of SZ36-1-5 well profile on Suizhong 36-1 structure in the Liaodong Bay, Bohai. The results show that this program has been high accuracy for automatic classification and identification of facies sequence as well as sedimentary subfacies from well logs.

关 键 词：人工智能 测井资料 沉积相 计算机 

分 类 号：P512.2[天文地球—地质学]