Subsurface property estimation method and apparatus

A subsurface property estimation apparatus, comprising:

• at least one processor;
• and
• a storage part in communication with the at least one processor to transmit or receive data to or from the at least one processor and configured to store program codes to be executed by the at least one processor to perform a subsurface property estimation method,
• wherein the subsurface property estimation method comprises:
• creating a training data set by preprocessing well-log data and first seismic data;
• creating an estimation model by using the training data set, the estimation model including:
• an encoder model configured to create a latent space that reflects features of strata based on input data;
• a decoder model configured to generate a first factor corresponding to a subsurface property based on the latent space;
• and a regression model configured to estimate a second factor corresponding to the subsurface property based on the latent space;
• and
• estimating the second factor corresponding to the subsurface property by inputting second seismic data to the estimation model.

A non-transitory computer-readable recording medium, comprising program code written to be executed by a processor to perform a subsurface property estimation method, the method comprising:

• creating, by a computer device, a training data set by preprocessing well-log data and first seismic data, the computer device including at least one processor for executing computer-readable instructions included in a data storage device;
• creating, by the computer device, an estimation model by using the training data set, the estimation model including:
• an encoder model configured to create a latent space that reflects features of strata based on input data;
• a decoder model configured to generate a first factor corresponding to a subsurface property based on the latent space;
• and a regression model configured to estimate a second factor corresponding to the subsurface property based on the latent space;
• and
• estimating the second factor corresponding to the subsurface property by inputting second seismic data to the estimation model.