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

doi:10.7657/XJPG20160320

Abstract

Abstract: Quantitative prediction of mineral component content and brittleness in tight rocks can provide a basis for optimization of exploration targets and fracturing intervals in unconventional reservoirs. Taking Jurassic coal?bearing strata in ZKZ basin and Jurassic non?coal strata in YBL basin in western China as examples, conventional logging curves sensitive to mineral components are selected based on conventional logging and core analysis data. Standardized processing is performed for sensitive logging curves related to modeling. Based on multivariate regression analysis, a quantitative model is established with multivariate regression analysis to predict mineral component content 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

CLC Number:

TE112.221

HUANG Junping1a,1b, ZHANG Zhisheng2, YANG Zhanlong1a,1b, HUANG Yunfeng1a,1b, DI Jun1a, ZHANG Liping1a. Quantitative Prediction of Mineral Component Content and Brittleness Index in Tight Rocks Based on Multivariate Regression Analysis[J]. , 2016, 37(3): 1-1.

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

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