US 11,754,736 B2
System and method for classifying seismic data by integrating petrophysical data
Justin Curtis Palmer, Houston, TX (US); Lisa Renee Goggin, Sugar Land, TX (US); Adam Dean Halpert, Houston, TX (US); Laura Leigh Bandura, Houston, TX (US); and Christopher H. Skelt, Houston, TX (US)
Assigned to Chevron U.S.A. Inc., San Ramon, CA (US)
Filed by Chevron U.S.A. Inc., San Ramon, CA (US)
Filed on Apr. 16, 2021, as Appl. No. 17/232,711.
Application 17/232,711 is a continuation in part of application No. 16/144,820, filed on Sep. 27, 2018, granted, now 10,948,618, issued on Mar. 16, 2021.
Application 16/144,820 is a continuation in part of application No. 15/730,814, filed on Oct. 12, 2017, granted, now 10,725,189, issued on Jul. 28, 2020.
Claims priority of provisional application 63/011,656, filed on Apr. 17, 2020.
Prior Publication US 2021/0255347 A1, Aug. 19, 2021
Int. Cl. G01V 1/30 (2006.01); G01V 1/28 (2006.01); G01V 1/34 (2006.01); G06N 5/01 (2023.01)
CPC G01V 1/306 (2013.01) [G01V 1/282 (2013.01); G01V 1/345 (2013.01); G06N 5/01 (2023.01); G01V 2210/6161 (2013.01); G01V 2210/64 (2013.01); G01V 2210/665 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A computer-implemented method to predict heterogeneous shale properties and distribution from seismic data, comprising:
a. obtaining, at a computer processor, a seismic dataset representative of a subsurface volume of interest;
b. obtaining, at the computer processor, a model conditioned by petrophysical classifications;
c. applying the model conditioned by petrophysical classifications to the seismic dataset to identify seismic facies and generate a classified seismic image; and
d. identifying geologic features based on the classified seismic image.