CLOSED-LOOP MULTI-DIMENSIONAL INTERPOLATION USING A MODEL-CONSTRAINED MINIMUM WEIGHTED NORM INTERPOLATION

摘要

Interpolation of seismic data of a subterranean formation includes: obtaining input seismic data; constructing an initial model by interpolation operation along dominant dips in time domain, wherein the initial model includes structural features of the subterranean formation; interpolating seismic data missing from the input seismic data via model-constrained minimum weighted norm interpolation (MWNI) to generate interpolated data; computing difference between the input seismic data and the interpolated data, wherein the difference is residual data; replacing the initial model using difference between the initial model and the interpolated data to generate an updated-initial model; performing model-constrained MWNI method using the residual data and the updated-initial model; adding the interpolated data from residual data to a previously generated interpolated data.

主权项

1. A method for interpolating seismic data of a subterranean formation, the method comprising:
a) obtaining input seismic data; b) constructing an initial model by interpolation operation along dominant dips in time domain, wherein the initial model includes structural features of the subterranean formation; c) interpolating seismic data missing from the input seismic data via model-constrained minimum weighted norm interpolation (MWNI) to generate interpolated data; d) computing difference between the input seismic data and the interpolated data, wherein the difference is residual data; e) replacing the initial model using difference between the initial model and the interpolated data to generate an updated-initial model; f) performing model-constrained MWNI method using the residual data and the updated-initial model; g) adding the interpolated data from residual data to a previously generated interpolated data; and h) repeating steps d) to g) until a selected stopping criterion is met.