US 11,682,167 B2
Seamless scaling geomodeling
Jeffrey Marc Yarus, Houston, TX (US); Rae Mohan Srivastava, Toronto (CA); Yevgeniy Zagayevskiy, Houston, TX (US); Gaetan Bardy, Spring, TX (US); Maurice Gehin, Houston, TX (US); and Genbao Shi, Sugarland, TX (US)
Assigned to Landmark Graphics Corporation, Houston, TX (US)
Appl. No. 16/753,945
Filed by Landmark Graphics Corporation, Houston, TX (US)
PCT Filed Dec. 20, 2018, PCT No. PCT/US2018/066899
§ 371(c)(1), (2) Date Apr. 6, 2020,
PCT Pub. No. WO2020/131078, PCT Pub. Date Jun. 25, 2020.
Prior Publication US 2021/0225071 A1, Jul. 22, 2021
Int. Cl. G06T 17/05 (2011.01); G06F 16/29 (2019.01); G06T 19/20 (2011.01)
CPC G06T 17/05 (2013.01) [G06F 16/29 (2019.01); G06T 19/20 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for creating a scalable geological model comprising:
identifying a plurality of geological scales;
establishing a geological tiered system;
identifying one or more graphical resolution levels for each geologic scale in the plurality of geological scales;
assimilating geological data from the plurality of geological scales to form a scalable geological model;
adding a well scale to the scalable geological model if a petrophysical property is present in a data set, wherein the petrophysical property is a continuous variable;
utilizing a point cloud method to handle one or more continuous variables;
utilizing a gridless point vector method to handle one or more categorical variables;
utilizing the scalable geological model to control and predict induced fracture propagation during a hydraulic fracturing operation; and
utilizing the scalable geological model to create one or more production forecasts.