CPC G01V 3/32 (2013.01) [E21B 47/003 (2020.05); E21B 49/00 (2013.01); E21B 49/087 (2013.01); G01V 3/38 (2013.01); G01V 99/005 (2013.01); G06N 20/00 (2019.01)] | 4 Claims |
1. A system for conducting measurement operations, the system comprising:
a dielectric measurement device forming at least a portion of a downhole tool string, the dielectric measurement device operable to generate measurement data for detecting a dielectric property of a downhole formation;
a microprocessor; and
memory including instructions that, when executed by the microprocessor, cause the system to:
receive the measurement data;
generate a synthetic rock geometry representing a particle distribution within a volume of the synthetic rock geometry of the downhole formation;
compute a textural parameter of the synthetic rock geometry;
simulate a response of complex dielectric spectrum of the synthetic rock geometry to form a simulated dielectric response;
train a machine learning system using the computed textural parameter and the simulated dielectric response to form a trained machine learning system;
process the measurement data, via the trained machine learning system;
determine a classification of the downhole formation, via the trained machine learning system, the classification of the downhole formation being related to a likelihood of recoverability of hydrocarbons from the downhole formation based on one or more textural properties of the formation and a water saturation; and
assign the classification of the downhole formation to the downhole formation.
|