US 12,352,151 B2
Artificial intelligence tool for geostress and geostrain analysis
Abdelwahab Noufal, Abu Dhabi (AE); Rachid Belmeskine, Abu Dhabi (AE); Mohamed Amri, Abu Dhabi (AE); and Abed Benaichouche, Abu Dhabi (AE)
Assigned to MATRIX JVCO LTD, Abu Dhabi (AE)
Appl. No. 18/044,117
Filed by MATRIX JVCO LTD, Abu Dhabi (AE)
PCT Filed Sep. 8, 2021, PCT No. PCT/IB2021/058161
§ 371(c)(1), (2) Date Mar. 6, 2023,
PCT Pub. No. WO2022/053945, PCT Pub. Date Mar. 17, 2022.
Claims priority of provisional application 63/075,343, filed on Sep. 8, 2020.
Prior Publication US 2024/0352845 A1, Oct. 24, 2024
Int. Cl. E21B 47/002 (2012.01); G06T 11/20 (2006.01)
CPC E21B 47/002 (2020.05) [G06T 11/206 (2013.01)] 19 Claims
OG exemplary drawing
 
5. A computer-implemented method for conducting a borehole stress analysis from an image thereof, the method comprising:
receiving at least one image of a borehole and input data relating to geological features thereof;
generating, by a graphical data presentation module executed on an image processor, a graphical user interface visualizing the input data;
plotting, by a classification module executing on the image processor, a rose diagram of striae from the input data to classify the geological features of the borehole based on fault type;
assessing, by a stress analysis module executing on the image processor, principal axes orientations and stress ratios, the stress analysis module including inversion algorithms to calculate principal stress orientations; and
generating, by a results visualization module executing on the image processor, a graphical user interface visualizing results of the stress analysis in specific graphical components.