US 12,032,110 B2
Elastic parameter estimation
Jeroen Jocker, The Hague (NL); John Adam Donald, Abu Dhabi (AE); Cheolkyun Jeong, Beijing (CN); Boxian Jing, Katy, TX (US); Erik Wielemaker, The Hague (NL); and Florian Karpfinger, Dhahran (SA)
Assigned to Schlumberger Technology Corporation, Sugar Land, TX (US)
Appl. No. 16/304,356
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
PCT Filed May 23, 2017, PCT No. PCT/US2017/033898
§ 371(c)(1), (2) Date Nov. 26, 2018,
PCT Pub. No. WO2017/205307, PCT Pub. Date Nov. 30, 2017.
Claims priority of provisional application 62/341,446, filed on May 25, 2016.
Prior Publication US 2019/0293815 A1, Sep. 26, 2019
Int. Cl. G01V 1/30 (2006.01); G01V 1/28 (2006.01); G01V 1/46 (2006.01); G01V 1/48 (2006.01); G01V 1/50 (2006.01)
CPC G01V 1/306 (2013.01) [G01V 1/282 (2013.01); G01V 1/46 (2013.01); G01V 1/48 (2013.01); G01V 1/50 (2013.01); G01V 2210/614 (2013.01); G01V 2210/6169 (2013.01); G01V 2210/6242 (2013.01); G01V 2210/626 (2013.01); G01V 2210/66 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
receiving information that comprises elastic property information and that comprises sonic data comprising a set of N measurements and acquired via a tool disposed in a bore in a subterranean environment that comprises at least one anisotropic formation, wherein N is an integer value greater than 0;
processing the information to generate first processed information wherein the first processed information comprises variance information associated with the elastic property information and wherein the first processed information comprises velocity information and orientation information associated with the sonic data;
performing a first inversion based at least in part on the first processed information by at least iteratively accessing the velocity information to determine synthetic velocities that, in part, determine likelihood probabilities;
receiving prior information from a database of stored prior information comprising second elastic property information for various types of subsurface media;
processing the prior information to generate second processed information wherein the second processed information comprises at least variance information associated with the second elastic property information;
performing a second inversion based at least in part on the second processed information to generate prior probabilities; and
outputting values for elastic parameters based at least in part on a the likelihood probabilities and the prior probabilities, wherein the values comprise a set of at least N+1 values, wherein the elastic parameters describe formation properties with respect to a depth of a logging interval.