Water-rich prediction method of aquifer based on logging data

• Main Authors: NIU HUIGONG, LI LIYAO, ZHANG WEIJIE, WEI JIUCHUAN, LI LIANGNING, YIN HUIYONG
• Format: Patent
• Language: Chinese; English
• Published: 11.01.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a water-rich prediction method of an aquifer based on logging data, which comprises the following steps: selecting a logging sample; obtaining the double-harvest time difference data and core porosity data of logging samples. The correlation between the core porosity and time difference of double harvest is established. According to the aquifer thickness and core porosity,a water-rich prediction model is constructed to determine the contribution rate of aquifer thickness and core porosity to the water-rich prediction model. The thickness of the aquifer and the core porosity of the selected logging samples are normalized and the water-rich index is calculated according to the water-rich prediction model. The water-rich zoning threshold is obtained by direct statistics, and the water-rich zoning map is plotted according to the water-rich zoning threshold, and two main influencing factors, aquifer thickness and core porosity, are selected to establish a water-richprediction model, so as t