US 11,630,226 B2 · Formation evaluation based on seismic horizon mapping with multi-scale optimization

Abstract

A least one seismic attribute is determined for each voxel of the seismic volume. A first horizon is selected for mapping and a sparse global grid is generated which includes the horizon, at least one constraint point identifying the horizon, and a number of points having a depth in the seismic volume. A value of at least one seismic attribute is determined for each point and their depths are adjusted based on the value of the seismic attribute. A map of the horizon can be generated based on the adjusted depths. Multiple local grids can be generated based on the sparse global grid, and the depths of the local grid points adjusted to generate a map of the horizon at voxel level resolution. The seismic volume can be mapped into multiple horizons, where previously mapped horizons can function as constraints on the sparse global grid.

Claims28

Dependent claims

A method for performing seismic data processing by a seismic data system, comprising:

obtaining, via one or more seismic sensors, seismic data corresponding to a seismic volume that corresponds to a subsurface formation having a horizon;
determining a seismic attribute for voxels of the seismic volume;
identifying the horizon in the seismic volume;
generating a sparse global grid that includes the horizon and that includes a number of points having a depth in the seismic volume;
determining a value of the seismic attribute for each point of the sparse global grid based, at least in part, on the seismic attributes of the voxels;
adjusting the depth of each point in the sparse global grid based, at least in part, on the value of the seismic attribute for the point;
generating a sparse global map of the horizon based, at least in part, on the adjusted depth of each point;
and
performing at least one operation for recovery of hydrocarbons based on the sparse global map of the horizon.

6 more elements

A non-transitory, machine-readable medium having instructions stored thereon that are executable by a computing device to perform seismic data processing operations comprising instructions to:

obtain, via one or more seismic sensors, seismic data corresponding to a seismic volume of a subsurface formation having a horizon;
determine a seismic attribute for voxels of the seismic volume;
identify the horizon in the seismic volume;
generate a sparse global grid that includes the horizon and that includes a number of points having a depth in the seismic volume;
determine a value of the seismic attribute for each point of the sparse global grid based, at least in part, on the seismic attributes of the voxels;
adjust the depth of each point in the sparse global grid based, at least in part, on the value of the seismic attribute for the point;
generate a sparse global map of the horizon based, at least in part, on the adjusted depth of each point;
and
perform at least one operation for recovery of hydrocarbons based on the sparse global map of the horizon.

6 more elements

An apparatus for performing seismic data processing comprising:

a processor;
and
a computer-readable medium having instructions stored thereon that are executable by the processor to cause the apparatus to,
obtain, via one or more seismic sensors, seismic data corresponding to a seismic volume of a subsurface formation having a horizon;
determine a seismic attribute for voxels of the seismic volume;
identify the horizon in the seismic volume;
generate a sparse global grid that includes the horizon and that includes a number of points having a depth in the seismic volume;
determine a value of the seismic attribute for each point of the sparse global grid based, at least in part, on the seismic attributes of the voxels;
adjust the depth of each point in the sparse global grid based, at least in part, on the value of the seismic attribute for the point;
generate a sparse global map of the horizon based, at least in part, on the adjusted depth of each point;
and
perform at least one operation for recovery of hydrocarbons based on the sparse global map of the horizon.

9 more elements

Dependencies are inferred from the claim text.

Formation evaluation based on seismic horizon mapping with multi-scale optimization

Life of this patent

Formation evaluation based on seismic horizon mapping with multi-scale optimization

Life of this patent

Abstract

Claims28