CAJ | 학술논문

训练图像的制作是多点地质统计学方法用于储层建模的必要步骤。目前，古岩溶系统建模研究中训练图像的制作方法相对较为缺乏。为此，提出了一种以GoogleEarth影像数据为基础的古岩溶系统训练图像制作方法。综合GoogleEarth影像和野外露头资料对比研究，可得到溶洞、溶蚀沟道分布位置及大小，溶蚀洼地分布、断裂—裂缝系统的位置及规模等，将采集到的定量化GoogleEarth影像原始数据，用相关算法分析处理；其中，趋势面分析得到地貌面，椭球体方程得到溶洞特征，从而可得到用于多点地质统计学建模的古岩溶系统训练图像。
훈련도상적제작시다점지질통계학방법용우저층건모적필요보취。목전，고암용계통건모연구중훈련도상적제작방법상대교위결핍。위차，제출료일충이GoogleEarth영상수거위기출적고암용계통훈련도상제작방법。종합GoogleEarth영상화야외로두자료대비연구，가득도용동、용식구도분포위치급대소，용식와지분포、단렬—렬봉계통적위치급규모등，장채집도적정양화GoogleEarth영상원시수거，용상관산법분석처리；기중，추세면분석득도지모면，타구체방정득도용동특정，종이가득도용우다점지질통계학건모적고암용계통훈련도상。
Making training image is a necessary step in multiple-point geostatistic reservoir modeling.Up to now, there is lack of proper training image making methods for fracture-care system modeling.Therefore,it was proposed that a method making training image based on GoogleEarth satellite image.Combined with GoogleEarth satellite image and out-crop survey data,we can get the position and size of karst channel,dissolution lowlands,and fracture system.As a result, we can get quantitative geological data based on the collected GoogleEarth image.Through the analysis of original data,we can get characteristics of geomorphology and karst cave.A training image for multiple-point geostatistics fracture-cave system modeling was made by using all the above obtained data.