一种有效预测岩性气藏砂体分布的方法  

An effective method for predicting the distribution of sand bodies in lithologic gas reservoirs

作　　者：史刘奇 赵永刚 叶超[3] 高伟[3] 孙利永[3] 李伟 张瑞[1] SHI Liu-qi;ZHAO Yong-gang;YE Chao;GAO Wei;SUN Li-yong;LI Wei;ZHANG Rui(School of Earth Sciences and Engineering,Xi’an Shiyou University,Xi'an 710065,China;Key Laboratory of Petroleum Accumulation Geology of Shaanxi Province,Xi’an Shiyou University,Xi'an 710065,China;Longdong Natural Gas Project Department,PetroChina Changqing Oilfield Company,Qingcheng 745100,Gansu,China;No.2 Logging Company,Bohai Drilling Engineering Company Limited,China National Petroleum Corporation,Renqiu 062550,Hebei,China)

机构地区：[1]西安石油大学地球科学与工程学院,西安710065 [2]西安石油大学陕西省油气成藏地质学重点实验室,西安710065 [3]中国石油天然气股份有限公司长庆油田分公司陇东天然气项目部,甘肃庆城745100 [4]中国石油集团渤海钻探工程有限公司第二录井分公司,河北任丘062550

出　　处：《兰州大学学报（自然科学版）》2022年第2期151-156,共6页Journal of Lanzhou University(Natural Sciences)

基　　金：国家科技重大专项项目(2016ZX05050006);陕西省自然科学基础研究计划项目(2019JM-381)。

摘　　要：针对研究区山13亚段,提出基于地理信息系统(ArcGIS 10.2平台),利用地质统计分析模块数据分析功能和克里金插值的砂体厚度预测方法.建立地质统计分析模块与砂体厚度数据库的空间连接,利用该模块进行砂体厚度数据探索性分析和基于半变异函数砂体厚度空间相关性分析,明确砂体在平面上的分布趋势,确定平行物源方向为克里金插值的优选方向,采用简单克里金指数模型进行砂体厚度插值,得到研究区山13亚段砂体预测图,其地质吻合度达到75%,可为鄂尔多斯盆地及其他含油气盆地的岩性气藏砂体预测提供借鉴.This study aimed at the Shan 13 sub-member in the study area and for the first time proposed a sand body prediction method based on the geographic information system(ArcGIS 10.2 platform),using the data analysis function of the geostatistical analysis module and the Kriging interpolation.The geostatistical analysis module connected with the sand thickness database was used to carry out an exploratory analysis of sand thickness data and of the spatial correlation of sand thickness based on the semivariogram function,clarify the distribution trend of sand bodies on the plane,and determine the direction that was parallel to provenance as the preferred direction of Kriging interpolation of sand thickness.The simple Kriging index model was used for sand thickness interpolation and a sand body prediction map of Shan 13 sub-member in the study area was obtained.The geological coincidence degree of the sand body prediction map could reach about 75%.This sand body prediction method can provide a reference for lithologic gas reservoir prediction in the Ordos Basin and other petroliferous basins in China and abroad.

关 键 词：砂体预测 地质统计分析模块 克里金插值 ArcGIS 10.2 岩性气藏 

分 类 号：P628.1[天文地球—地质矿产勘探]