Wen et al. (2017) developed the index system evaluating water flooding development effect of oilfield at ultra-high water cut stage based on Pearson correlation analysis and gray clustering-rough set quantitative evaluation index.
There are many indexes evaluating the effect of water flooding development at present.
The research on index system and methods evaluating water flooding development effect are variable worldwide.
We can conclude that the water flooding development effect is "excellent".
There is little research on the evaluation indexes and method of water flooding development outside China; especially, there is no report on the index system evaluating the water flooding development effect at the ultra-high water cut stage.
So nobody wants to prepare for floods!' Development funds such as cess for opening clogged rivers are non-existent.
Application of the model, the development effect factors of tight oil reservoir are analyzed, which contain development methods (depletion development, water flooding development and CO2 flooding development), reservoir permeability, SRV size, fracture density, fracture conductivity and cluster spacing.
Using the FCE method, the main steps of the comprehensive evaluation for the water flooding development effect of water flooding reservoir are shown in Fig. 1.
The LaSaXing Oilfield has entered the ultra-high water cut stage, and the original evaluation indexes of water flooding development effect cannot reflect development status of the oilfield.
The method is applied to the evaluation of water flooding development effect, which is helpful to improve the analysis level of oil and gas field development.
Firstly, the factor set is a set of indicators that affect the evaluation results of water flooding development, denoted as (U = left( {u_{1},u_{2}, ldots,u_{m} } right)).
