致密岩石矿物组分含量及脆性指数多元回归定量预测  

Quantitative Prediction of Mineral Component Content and Brittleness Index in Tight Rocks Based on Multivariate Regression Analysis

作　　者：黄军平[1,2] 张智盛 杨占龙[1,2] 黄云峰[1,2] 邸俊[1] 张丽萍[1] 

机构地区：[1]中国石油勘探开发研究院西北分院,成都610059 [2]中国石油油藏描述重点实验室,兰州730020 [3]成都理工大学能源学院,成都610059

出　　处：《新疆石油地质》2016年第3期346-351,共6页Xinjiang Petroleum Geology

基　　金：国家科技重大专项(011ZX05001);中国石油科技重大专项(2013E-0502)

摘　　要：定量预测致密岩石中矿物组分含量和脆性特征,可以为非常规油气勘探目标和压裂井段等的优选提供依据。以中国西部地区ZKZ盆地侏罗系含煤地层和YBL盆地侏罗系非含煤地层为例,利用常规测井资料和岩心分析数据,优选对矿物组分较为敏感的常规测井曲线。将参与建模的敏感测井曲线进行了标准化处理,用多元回归分析方法,建立了含煤地层和非含煤地层致密岩石中矿物组分含量及脆性特征的定量预测模型,并对含煤地层和非含煤地层致密岩石脆性特征及其成因进行了论证。预测结果与实测值具有较高的一致性。Quantitative prediction of mineral component content and brittleness in tight rocks can provide a basis for optimization of explo-ration targets and fracturing intervals in unconventional reservoirs.Taking Jurassic coal-bearing strata in ZKZ basin and Jurassic non-coalstrata in YBL basin in western China as examples,conventional logging curves sensitive to mineral components are selected based on con-ventional logging and core analysis data.Standardized processing is performed for sensitive logging curves related to modeling.Based onmultivariate regression analysis,a quantitative model is established with multivariate regression analysis to predict mineral component con-tent and brittleness in tight rocks in coal-bearing and non-coal strata,and the features and geneses of tight rock brittleness are demonstrated.The prediction results highly correspond to the actual measured values.

关 键 词：致密岩石 矿物组分 脆性特征 多元回归 定量预测 

分 类 号：TE112.221[石油与天然气工程—油气勘探]