Shale oil highly-deviated well stress and rock mechanics calculation method and system

By using natural gamma data and neutron porosity data to replace sonic transit time data in the deep fractured shale oil wells of Mabei, and combining laboratory tests and field tests, the problems of well deviation, bedding, and fracture effects were solved. This enabled more accurate calculation of rock mechanics parameters and optimization of fracturing design, thereby improving oil and gas production and design efficiency.

CN121958738APending Publication Date: 2026-05-01PETROCHINA CO LTD
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Patent Information

Application Number
CN202411522611.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-29
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

The conventional stress and mechanical property calculations for highly deviated deep fractured shale oil wells in the Mabei formation are hampered by well inclination, bedding, and fractures, resulting in a lack of comparability of sonic transit data. This makes it impossible to accurately evaluate sweet spots and divide segments, thus limiting the precision of fracturing design.

Method used

By using natural gamma data and neutron porosity data to replace acoustic transit time data in the inclined shaft section, and combining indoor rock mechanics tests and field fracturing tests, a weighting coefficient was established to optimize the calculation method of rock mechanics parameters and eliminate the influence of well inclination, bedding, and fractures.

Benefits of technology

It improves the accuracy of rock mechanics parameter calculation and the reliability of fracturing design, optimizes fracturing schemes, increases oil and gas production, reduces logging data acquisition costs and design cycles, and reduces fracturing risks.

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Abstract

The invention discloses a shale oil highly-deviated well stress and rock mechanics calculation method and system. According to the method, a conventional logging data set along a shaft is obtained, the conventional logging data set generally comprises data columns such as interval transit time data, resistivity, density data, natural gamma data and neutron porosity data, and the data columns are selected according to corresponding characteristics of regional logging; selecting the same reservoir, and establishing a relationship between natural gamma data and sound wave data; selecting the same reservoir, and establishing a relationship between neutron porosity data and sound wave data; and through the GRAC and the CNLAC obtained in the step 3d, mechanical parameters of a certain depth are obtained through an indoor rock mechanical test, and a weight coefficient is obtained. Through the field test fracturing test, the actually measured minimum horizontal principal stress at the perforation can be obtained, and the weight coefficient can be obtained. Therefore, an alternative formula verified by measured data is obtained, the stress and mechanical parameter profile of the deep fractured highly-deviated well can be obtained more reliably, and the pertinence of fracturing design is improved.
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