US 12,421,837 B2
Real-time automated geosteering interpretation using adaptive combined heatmaps
Shahin Tasoujian, Houston, TX (US); Siyang Song, Houston, TX (US); Eirik Hansen, Stavanger (NO); Robert P. Darbe, Houston, TX (US); and Vytautas Usaitis, Houston, TX (US)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on Jun. 29, 2022, as Appl. No. 17/852,646.
Prior Publication US 2024/0003240 A1, Jan. 4, 2024
Int. Cl. E21B 44/02 (2006.01); E21B 7/04 (2006.01); E21B 41/00 (2006.01); E21B 44/00 (2006.01); E21B 47/04 (2012.01)
CPC E21B 44/02 (2013.01) [E21B 41/00 (2013.01); E21B 47/04 (2013.01); E21B 7/04 (2013.01); E21B 44/00 (2013.01)] 18 Claims
OG exemplary drawing
 
1. An automated method of drilling a target well according to a well plan, comprising:
generating at least two individual heatmaps for a subterranean formation using target well drilling data from a target well and offset well data from at least one offset well, wherein each of the individual heatmaps correspond to a specific type of drilling data;
generating an adaptive combined heatmap from the individual heatmaps by adaptively weighting the individual heatmaps with weights corresponding to measured depths of the target well based on a width of lower misfit areas of the individual heatmaps at the measured depths, wherein the adaptive combined heatmap is a weighted sum of the individual weighted heatmaps;
determining a path of the target well in the subterranean formation based on the adaptive combined heatmap;
updating the well plan according to the path, and drilling the target well using the updated well plan.