US 11,079,509 B1 · Building accurate training images for automatic seismic interpretation

Abstract

Automatic propagation of real-world parent seismic images to efficiently generate a collection of realistic synthetic child training images to train a model for accurate automatic seismic interpretation. A 3D structural model in a present-day geological space (e.g., GB) depicting subsurface locations of particles (e.g., in region B) may be transformed by a 3D coordinate space transformation (e.g., uvtB) to a depositional space (e.g., G*B) depicting past depositional locations of those particles (e.g., corresponding depositional region B). A real-world parent image depicting subsurface locations of particles (e.g., in region A) may be transformed, via a forward transformation (e.g., uvtA), to a depositional seismic image in the depositional space of the three-dimensional structural model (e.g., G*A=G*B). A reverse transformation (e.g., uutB−1) may transform the depositional seismic image from the depositional space into synthetic child training images in the present-day geological space (e.g., GB) for training the model.

Claims30

Dependent claims

A system for automatically generating seismic training images and associated seismic interpretation training labels to train a model for automatic seismic interpretation, the system comprising:

one or more processors configured to:
receive a three-dimensional structural model in a present-day geological space depicting locations of particles of the subsurface geology of the Earth as observed at a current time period,
compute a three-dimensional coordinate space transformation to transform the three-dimensional structural model from the present-day geological space to a depositional space depicting past locations of the particles at times when the particles were determined to be originally deposited within the subsurface geology of the Earth,
receive a real-world parent image of the subsurface geology in a present-day geological space generated based on seismic data captured by sensors recording seismic waves reflected from the subsurface geology,
apply a forward transformation to transform the real-world parent image in the present-day geological space to a depositional seismic image in the depositional space of the three-dimensional structural model,
apply a reverse transformation to transform the depositional seismic image from the depositional space into a plurality of synthetic child training images in the present-day geological space,
associating the plurality of synthetic child training images with seismic interpretation training labels;
and
one or more memories configured to store the plurality of synthetic child training images and associated seismic interpretation training labels.

6 more elements

A method for automatically generating seismic training images and associated seismic interpretation training labels to train a model for automatic seismic interpretation, the method comprising:

receiving a three-dimensional structural model in a present-day geological space depicting locations of particles of the subsurface geology of the Earth as observed at a current time period;
computing a three-dimensional coordinate space transformation to transform the three-dimensional structural model from the present-day geological space to a depositional space depicting past locations of the particles at times when the particles were determined to be originally deposited within the subsurface geology of the Earth;
receiving a real-world parent image of the subsurface geology in a present-day geological space generated based on seismic data captured by sensors recording seismic waves reflected from the subsurface geology;
applying a forward transformation to transform the real-world parent image in the present-day geological space to a depositional seismic image in the depositional space of the three-dimensional structural model;
applying a reverse transformation to transform the depositional seismic image from the depositional space into a plurality of synthetic child training images in the present-day geological space;
associating the plurality of synthetic child training images with seismic interpretation training labels;
and
storing the plurality of synthetic child training images and associated seismic interpretation training labels.

5 more elements

A non-transitory computer readable storage medium having instructions stored thereon which, when executed by one or more processors, causes the processors to:

receive a three-dimensional structural model in a present-day geological space depicting locations of particles of the subsurface geology of the Earth as observed at a current time period;
compute a three-dimensional coordinate space transformation to transform the three-dimensional structural model from the present-day geological space to a depositional space depicting past locations of the particles at times when the particles were determined to be originally deposited within the subsurface geology of the Earth;
receive a real-world parent image of the subsurface geology in a present-day geological space generated based on seismic data captured by sensors recording seismic waves reflected from the subsurface geology;
apply a forward transformation to transform the real-world parent image in the present-day geological space to a depositional seismic image in the depositional space of the three-dimensional structural model;
apply a reverse transformation to transform the depositional seismic image from the depositional space into a plurality of synthetic child training images in the present-day geological space;
associate the plurality of synthetic child training images with seismic interpretation training labels;
and
store the plurality of synthetic child training images and associated seismic interpretation training labels.

5 more elements

Dependencies are inferred from the claim text.

Building accurate training images for automatic seismic interpretation

Life of this patent

Building accurate training images for automatic seismic interpretation

Life of this patent

Abstract

Claims30