A method for evaluating productivity of high-salt-content oil reservoirs considering effects of salt dissolution and crystallization

By constructing a production capacity evaluation model for high-salt reservoirs, the problem of the influence of salt dissolution and crystallization was solved, the accuracy and sensitivity of production capacity prediction were improved, and the development strategy of high-salt reservoirs was guided.

CN117027779BActive Publication Date: 2026-06-26SHANDONG PETROCHEMICAL INST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG PETROCHEMICAL INST
Filing Date
2023-08-01
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing methods for evaluating the productivity of low-permeability reservoirs are not applicable to high-salinity reservoirs and cannot effectively account for the impact of salt dissolution and crystallization on productivity, resulting in poor development outcomes.

Method used

A productivity evaluation model for high-salt reservoirs was constructed. Sensitivity experiments and non-Darcy flow experiments were conducted using sample cores. Relationship equations between salt dissolution and crystallization and permeability, as well as stress and permeability, were established. Combined with pressure distribution models and single-well productivity formulas, the effects of salt dissolution and crystallization, stress sensitivity, and starting pressure gradient were quantitatively analyzed.

Benefits of technology

It improves the accuracy and sensitivity of productivity assessment for high-salinity oil reservoirs, enabling more accurate prediction of productivity changes and guiding development strategies for high-salinity oil reservoirs.

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Abstract

The application provides a high-salt-content oil reservoir productivity evaluation method considering salt dissolution and crystallization influence, comprising: obtaining a salt dissolution and crystallization and permeability relationship equation and a stress and permeability relationship equation by sample core experiment; the two relationship equations are used to construct a pressure distribution model; the pressure distribution model and a permeability relationship equation containing salt dissolution and crystallization coefficient are used to construct a high-salt-content oil reservoir single well productivity formula; then, a high-salt-content oil reservoir productivity evaluation model is constructed by combining a production change amplitude formula, the influence of salt dissolution and crystallization coefficient, stress sensitivity coefficient, starting pressure gradient and well bottom pressure on value is increased, and the quantitative analysis method can more accurately predict the productivity change of the high-salt-content oil reservoir. The application increases the influence of salt dissolution and crystallization coefficient, stress sensitivity coefficient, starting pressure gradient and well bottom pressure on value by constructing the high-salt-content oil reservoir productivity evaluation model, improves the sensitivity of different coefficient changes to productivity, and effectively improves the prediction accuracy.
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