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Gas reservoir recovery ratio prediction method based on multiple regression

A technology of multiple regression and forecasting methods, applied in forecasting, instruments, data processing applications, etc., can solve problems such as inability to guarantee accuracy and lack of historical data, and achieve the effects of wide application, reduction of calculation errors, and reduction of dependence

Active Publication Date: 2022-02-08
KEYUAN ENG TECH TESTING CENT OF SICHUAN PROVINCE +1
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Problems solved by technology

Traditional gas reservoir recovery prediction methods mainly include analogy method, analytical method, volumetric method, isothermal adsorption method, production decline method, and numerical simulation. Although some results have been obtained in the study of recovery factor prediction, due to the different geological conditions, development methods and technical means of different gas reservoirs, and the lack of historical data for gas reservoirs in the early stage of development, a single method As a result, the accuracy of the predicted recovery rate cannot be guaranteed, and various prediction methods have their own applicability and limitations

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  • Gas reservoir recovery ratio prediction method based on multiple regression

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Embodiment

[0018] Such as figure 1 As shown, the multivariate regression-based gas reservoir recovery prediction method provided in this embodiment includes the following steps:

[0019] S1: Select the target reservoir rocks, process the selected reservoir rocks into standard plunger samples and 60-80 mesh particle samples according to the principle of preparing parallel samples, and then perform pretreatment on the processed plunger samples and particle samples, Pretreatment generally includes drying treatment and saturation treatment;

[0020] S2: According to the characteristics of the selected target reservoir, predetermine multiple single factors that affect the recovery of the reservoir gas reservoir. The multiple single factors that affect the recovery of the reservoir gas reservoir include rock mineral composition and content, and rock pores degree, rock permeability, reservoir micropore percentage, reservoir mesopore percentage, reservoir roar radius, reservoir specific surface...

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Abstract

The invention discloses a gas reservoir recovery ratio prediction method based on multiple regression. The method comprises the following steps: selecting target reservoir rock, processing the reservoir rock into parallel samples, and preprocessing the parallel samples; according to the characteristics of the selected target reservoir, determining a plurality of single factors influencing reservoir gas reservoir recovery in advance, and acquiring target parameters of each single factor through corresponding experiments; analyzing the influence of each single factor on the recovery ratio of the gas reservoir, and screening out a plurality of single factors which mainly influence the recovery ratio of the gas reservoir; and calculating a prediction value of the recovery ratio based on a multiple regression model. According to the method, the output process of reservoir gas is restored more truly, multiple main control factors are substituted through multiple regression to obtain the recovery ratio, and the calculation error of the recovery ratio is reduced; compared with a traditional recovery ratio prediction method, dependence on field production data is greatly reduced in the method; and meanwhile, the method is suitable for gas reservoir prediction of various gas reservoirs, different development modes and different development stages, and an application range is wide.

Description

technical field [0001] The invention belongs to the technical field of oil and gas field development, and in particular relates to a method for predicting the recovery rate of gas reservoirs based on multiple regression. Background technique [0002] The recovery factor of gas reservoir is an important index to evaluate the development effect of gas field and make development decision. Traditional gas reservoir recovery prediction methods mainly include analogy method, analytical method, volumetric method, isothermal adsorption method, production decline method, and numerical simulation. Although some results have been obtained in the study of recovery factor prediction, due to the different geological conditions, development methods and technical means of different gas reservoirs, and the lack of historical data for gas reservoirs in the early stage of development, a single method As a result, the accuracy of predicted recovery cannot be guaranteed, and various prediction ...

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Application Information

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IPC IPC(8): G06Q10/04G06F30/20G06F17/18G06Q50/02
CPCG06Q10/04G06F30/20G06F17/18G06Q50/02Y02A10/40
Inventor 杨威刘虎戚明辉张烨毓黄毅王东强曹茜向祖平李志军肖前华
Owner KEYUAN ENG TECH TESTING CENT OF SICHUAN PROVINCE
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