US 12,448,879 B2
Geosteering control framework
Zhenhua Li, Singapore (SG); Farid Toghi, Beijing (CN); Zhiyi Zhang, Beijing (CN); Ziyuan Xu, Beijing (CN); Bingqi Liu, Beijing (CN); Ji Li, Houston, TX (US); Yao Feng, Sugar Land, TX (US); Jianguo Liu, Sugar Land, TX (US); Michael Bower, Sugar Land, TX (US); Joseph Gremillion, Sugar Land, TX (US); Jiazhen Yang, Beijing (CN); Yan Song Huang, Beijing (CN); Jing Wang, Beijing (CN); and Yue Qiu, Beijing (CN)
Assigned to Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Feb. 6, 2024, as Appl. No. 18/433,842.
Prior Publication US 2025/0250891 A1, Aug. 7, 2025
Int. Cl. E21B 44/00 (2006.01); E21B 7/04 (2006.01); E21B 47/18 (2012.01); E21B 49/00 (2006.01); G01V 3/20 (2006.01)
CPC E21B 44/00 (2013.01) [E21B 7/04 (2013.01); E21B 47/18 (2013.01); E21B 49/00 (2013.01); G01V 3/20 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving data acquired by a downhole tool of a tool string disposed at least in part in a borehole in a subsurface region, wherein the data comprise multi-channel electromagnetic data from receivers, wherein each of the receivers operates at multiple frequencies, and wherein the multi-channel electromagnetic data comprise one or more of attenuation data and phase data;
inverting the data using a trained machine learning model to generate inversion results, wherein the data are non-windowed data or windowed data for a selected window size;
performing automated boundary picking using the inversion results to generate one or more points for a structural feature of the subsurface region; and
controlling operation of the tool string based at least in part on at least a portion of the one or more points for the structural feature of the subsurface region.