Interferometric Seismic Imaging of Sparsely-sampled Data
نویسنده
چکیده
Micro-seismicity induced by fluid migration can be used to monitor the migration of fluids during reservoir production and hydro-fracturing operations. The seismicity is usually monitored with sparse networks of seismic sensors. The sparsity of the sensor networks degrades the accuracy of the estimated event locations. This inaccuracy often makes it impossible to infer the fluid pathways at the desired accuracy. Micro-seismicity can be located using an imaging approach based on wave-equation imaging under the exploding reflector model. This idea in itself is not new. What is new, however, is the use of an interferometric imaging algorithm which suppresses artifacts in the location of targets (microseismic) and create crisper images, which translates into more accurate location estimates. The images produced with the interferometric imaging method can be used for robust automatic location of micro-earthquakes with application to 4D monitoring of fluid injection.
منابع مشابه
Micro-earthquake monitoring with sparsely-sampled data
Micro-seismicity can be used to monitor the migration of fluids during reservoir production and hydro-fracturing operations in brittle formations or for studies of naturally occurring earthquakes in fault zones. Micro-earthquake locations can be inferred using wave-equation imaging under the exploding reflector model, assuming densely sampled data and known velocity. Seismicity is usually monit...
متن کاملInterferometric Seismic Imaging
Claerbout’s daylight imaging concept is generalized to the general theory of interferometric seismic imaging (II). Interferometric seismic imaging is defined to be any algorithm that inverts crosscorrelated seismic data for the reflectivity or source distribution. As examples, we show that II can be used to image reflectivity distributions by migrating ghost reflections in passive seismic data,...
متن کاملTheory of Daylight/Interferometric Imaging: Tutorial
I present the theory of interferometric imaging (II). Interferometric imaging is any algorithm that images crosscorrelated data for the reflectivity or source distribution. As examples, I show that II can image arbitrary reflectivity distributions by migrating ghost reflections in passive seismic data, generalize the receiver-function imaging method used by seismologists, and migrate free-surfa...
متن کاملGaussian beam migration for sparse common-shot and common-receiver data
We investigate the Gaussian beam migration of commonshot and common-receiver data. The imaging of commonshot data is useful for seismic data where the receiver coordinates are well sampled, but the source coordinates are less well sampled. By reciprocity, this approach can also be applied to common-receiver data, such as from OBS experiments where the source locations are dense but the receiver...
متن کامل3D North Sea case study of reconstruction
Irregularly and sparsely sampled seismic data that has been shot with a predominant azimuth for long offsets can be completely reconstructed. Our method uses reposting along receiver lines to exact crossline positions, followed by least squares reconstruction in the midpoint-offset domain. This reconstruction scheme has been applied to a 3D marine dataset from the North Sea. Various aspects and...
متن کامل