一种绿色钻井液环保性能综合测试评价方法
By performing full-component spectral scanning and thermal desorption gas phase capture in a standardized environmental simulation reactor, combined with a deep neural network prediction model, the problems of applicability to multiple environmental media and identification of pollutant occurrence states in the environmental performance testing of green drilling fluids were solved, realizing the comprehensive detection and quantification of drilling fluid pollutants in both liquid and solid phases.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- THE THIRD GEOLOGICAL BRIGADE OF JIANGSU PROVINCIAL BUREAU OF GEOLOGY & MINERAL RESOURCES
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for testing the environmental performance of green drilling fluids fail to fully consider diverse environmental media, cannot accurately identify the types and concentrations of liquid-phase pollutants, cannot quantify volatile and semi-volatile pollutants in solid-phase residues, and cannot fully reflect the occurrence form and release potential of pollutants in the solid phase.
A standardized environmental simulation reactor is used to simulate freshwater, saline water sediments, and terrestrial soil media. Through full-component spectral scanning and thermal desorption gas phase capture, combined with a deep neural network prediction model, comprehensive detection and quantitative analysis of liquid-solid two-phase pollutants can be achieved.
It enables accurate identification and quantification of drilling fluid contaminants in diverse environmental media, fully reflecting their occurrence state and release characteristics in both liquid and solid phases, thus improving the accuracy and comprehensiveness of detection.
Smart Images
Figure CN122150160B_ABST