Normalization processing and research of multi-field data in reservoir seepage investigation. Issue 7 (October 2021)

• Record Type: Journal Article
• Authors: Zheng, KeXun; Bo, Yu; Liu, Xianggang; Hu, Daru; Han, Xiao; Wang, Senlin; Liu, Sheng
• Is Part Of: IOP conference series. Volume 861:Issue 7(2021)
• Publication Date: 2021-10
• Subjects: reservoir leakage investigation -- field analysis method -- multi field data -- normalization processing -- comprehensive index eigenvalue; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/861/7/072114
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Field analysis is one of the important methods to investigate the leakage of reservoir. Groundwater seepage field, groundwater temperature field, groundwater chemical field (conductivity field) and isotope field are widely used in leakage of reservoir. In this paper, the indexes of a single field are normalized according to some factors, including the relationship between field indexes and leakage sources, the relationship between field indexes and natural field background values of geological media, the variation of indexes in adjacent space, and the changes of indexes at different times. After processing, the characteristic values of the single field are obtained, including the tracer index characteristic value, the background index characteristic value, the gradient index characteristic value and the time series index characteristic value. Based on the reliability of the data and the correlation with the leakage, different weighting factors can be selected for each characteristic value to obtain a normalized field comprehensive index characteristic value. The indexes of different fields can also be superimposed according to the normalized characteristic value to realize the comparison and verification of each field. It makes full use of the limited data thus to reducing the interference information and amplifying the leakage signal. And it makes the field analysis method of groundwater leakage quantitative and systematic, which can effectively process the field data and more significantly delineate the possible groundwater leakage location.