Decision-making method for dynamic optimization of wellbore heating parameters

By establishing a wellbore temperature field and pressure field model, combining on-site measurement and historical data, the wellbore heating parameters are dynamically optimized, and the production problems caused by changes in heavy oil viscosity are solved, achieving more accurate heating parameter adjustment and oil well production stability.

CN110895627BActive Publication Date: 2025-01-10CHINA PETROLEUM & CHEMICAL CORP +1
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Patent Information

Application Number
CN201811053763.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2018-09-10
Publication Date
2025-01-10
Estimated Expiration
2038-09-10

AI Technical Summary

Technical Problem

During heavy oil mining, due to factors such as wellbore temperature and water content, the viscosity of heavy oil changes sharply, resulting in some heavy oil being unable to be lifted to the ground. The optimization parameters of existing wellbore heating technology are not targeted and cannot accurately obtain heating power. and water injection temperature.

Method used

The decision-making method of dynamically optimizing the wellbore heating parameters is adopted. By establishing the wellbore temperature field and pressure field model, combining on-site measurement parameters and oil well historical production data, the operating parameters of electrical heating and closed hot water circulation heating technology are optimized for different production cycles and The heating parameters are adjusted according to the conditions.

Benefits of technology

More accurate optimization of wellbore heating parameters is achieved, targeted and reliable oil well production is improved, blind parameter adjustment is avoided, and the stability of crude oil outlet temperature and economical production is ensured.

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Abstract

The present invention provides a decision method for dynamically optimizing wellbore heating parameters, and the decision method for dynamically optimizing wellbore heating parameters includes: step 1, establishing a wellbore temperature field and pressure field model; step 2, using the wellbore heating operation parameters measured on site to optimize the heating parameters of the two processes of electric heating and closed hot water circulation heating in the same production cycle; step 3, combining the historical production data of the oil well, summarizing the production rules of different cycles, and optimizing the heating parameters of different production cycles. The decision method for dynamically optimizing wellbore heating parameters dynamically optimizes the oil well when the water content and liquid production are constantly changing in different production cycles, has strong pertinence and reliability, can more accurately guide the on-site staff to adjust the parameters of the oil well, and avoids the on-site staff from blindly adjusting the parameters of the oil well.
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