A Predictive Analysis Method of Oilfield Development Index

Abstract

The invention relates to a predictive analysis method for oil field development indexes, comprising: step 1: data acquisition; step 2: data extraction; step 3: index calculation; step 4: probability statistics and cluster analysis; step 5: index application. A method for predicting and analyzing oilfield development indicators disclosed by the present invention has the following beneficial effects: 1. For the development of new oilfields and new blocks, the application of this method makes full use of the development and production data of all existing wells in similar oilfields, breaking through The limitations of the typical reservoir analogy method in selecting "typical reservoirs"; 2. The application of this method is a supplement to the reservoir engineering method. Through statistical principles, all samples of production wells are developed based on similar reservoirs and the same development stage Statistical analysis of data can realize index prediction on small scale for the development of oilfield blocks; 3. The application of this method determines the reliability evaluation of the results of oilfield development index prediction.

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 cut rise rate can be realized by using the theoretical model of reservoir engineering. However, for carbonate reservoirs, complex small fault block reservoirs, and horizontal well development reservoirs, because Rapid changes in the pressure and fluid environment of oil, gas and water systems make it difficult for reservoir engineering theoretical models to adapt

For conventionally developed large-scale integrated oil and gas reservoirs, reservoir engineering theoretical models are more suitable, but for the results of analysis and prediction, the adjustable range and confidence level cannot be given, which cannot meet the needs of oilfield development and production management