Prediction and analysis method for oil field exploitation index

Abstract

The invention relates to a prediction and analysis method for an oil field exploitation index, and the method comprises the steps: 1, data obtaining; 2, data extraction; 3, index calculation; 4, probability statistics and clustering analysis; 5, index application. The invention has the following beneficial effects that 1, the method makes the most of the existing exploitation production data of all wells of the same type of oil fields for the exploitation of a new oil field and a new area, and breaks the limits of a typical oil and gas reservoir analogy method in the selection of a typical oiland gas reservoir; 2, the method is a supplement for the oil reservoir engineering method, and achieves the index prediction for the exploitation of oil fields and areas in a small scale based on allsample data of exploitation production wells of the same type of oil reservoirs at the same exploitation stage through the principle of statistics; 3, the prediction result of oil field exploitationindexes determines the reliability evaluation.

Description

technical field [0001] The invention belongs to the field of oil field development, and in particular relates to a method for predicting and analyzing oil field development indexes. Background technique [0002] Development index prediction is the basis for oilfield development allocation, production allocation and economic evaluation of oilfield development (adjustment) projects. However, domestic and foreign oilfield development index prediction work mainly depends on reservoir engineering theoretical models and empirical formulas. For new production capacity projects, production allocation and injection work is mainly carried out through the analogy of typical oil and gas reservoirs, drawing on development indicators. It is difficult to determine the reliability and feasibility of the calculated and predicted development indicators. In actual work, whether the allocation of production and allocation of development indicators is reasonable depends mainly on the experience...

AI Technical Summary

Problems solved by technology

[0003] At present, the reservoir dynamic analysis software tools developed by some companies include theoretical models for the calculation and prediction of oilfield development indicators in the oil industry at home and abroad, but it is difficult to solve the calculation and prediction of oilfield development indicators in a targeted manner, especially for carbon For salt rock reservoirs and complex small fault block reservoirs, theoretical models and empirical formulas cannot meet the needs of predictive analysis of oilfield development indicators

[0004] At present, theoretical model prediction and analysis of indicators such as decline rate, water cut rate, and water cu