Method for determining high-viscosity oil thermal gravity stage and test temperature range

By smoothing and conversion domain matching of high viscosity oil thermogravimetric data, candidate reaction peaks were identified, a continuous effective interval was established, and KAS regression was used to calculate the apparent activation energy. This solved the problem of model instability in the processing of high viscosity oil thermogravimetric data and achieved accurate output of the experimental temperature range.

CN123028922APending Publication Date: 2026-11-03SCI & TECH RES INST LTD PETRO CHINA +2
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Patent Information

Application Number
CN202611378310.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-09-07
Publication Date
2026-11-03

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively distinguish reaction stages at multiple heating rates when processing high-viscosity oil thermogravimetric data, leading to model instability, inaccurate temperature range outputs, and susceptibility to noise and peak overlap.

Method used

By acquiring multiple sets of thermogravimetric curves with different heating rates, smoothing and differentiation were performed to determine candidate reaction peaks. Common peaks were matched using the conversion domain to establish a continuous effective interval. The apparent activation energy was calculated using KAS regression, and piecewise fitting and linear interpolation were performed to ensure the stability and accuracy of the model.

Benefits of technology

This method reduces the impact of noise peaks in high-viscosity oil thermogravimetric data processing, ensures the continuity and accuracy of the model, and provides the output test temperature range with clear data coverage and traceability, thereby improving the reliability of the results.

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Abstract

The application discloses a high-viscosity oil thermal gravity stage and test temperature zone controlled determination method and relates to the technical field of oil and gas development.The method comprises the following steps: obtaining a plurality of thermal gravity curves of a high-viscosity oil sample at different heating rates, obtaining original DTG and smooth DTG, combining the smooth DTG to determine a peak significance threshold, sequentially matching the threshold in a conversion rate domain to obtain common reaction peaks and peak-to-valley values supported by all the heating rate curves, deriving common stage boundaries, performing piecewise linear interpolation and KAS regression on a unified conversion rate grid, screening to form continuous effective conversion rate intervals, selecting a single continuous interval with the largest span, combining the common stage boundaries, piecewise calculating an activation energy model, and performing leave-one-out cross-validation on a through stage to select a model and map a test temperature zone.The application constructs a combined system focusing on continuity and cooperation, can effectively reduce the risk of single curve noise peaks, inconsistent peak-to-valley values at different rates and breakpoints being spread to a stage model and a test temperature zone, and improves the accuracy of output results.
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