seismic coherency is a measure of lateral changes in acoustic impedance that are caused by variations in structure, stratigraphy, lithology, porosity, and fluid content. seismic coherency is a geometrical attribute that establishes temporal and lateral relationships with other attributes. seismic coherency can be defined by coherency attributes. when coherency attributes are applied to seismic ...

seismic attributes are very useful in seismic data interpretation. one of these attributes is the coherency attribute. seismic coherency is a complex trace and a geometrical attribute that is applied to a 3d cube of seismic data. it is a measure of lateral changes in acoustic impedance caused by the variation in structure, stratigraphy, lithology, porosity, and the presence of hydrocarbons. whe...

Forward modeling of reflection seismic data is a computational process through which a geologic model (units: horizontal distance, vertical depth; layer acoustic impedance) of the subsurface is transformed into a synthetic reflection seismic record (units: horizontal distance, 2-way travel time; reflection amplitude). Synthetic seismic records (synthetics) are often generated both before and af...

Subsurface modeling from seismic and borehole data is important for reservoir prediction, geophysical exploration and production. A reasonable model should honor borehole rock properties and conform to seismic structural and stratigraphic features. Such a subsurface model can be di cult to create in cases complicated by faults and unconformities. Automatic and semi-automatic methods have been p...

Subsurface modeling from seismic and borehole data is important for reservoir prediction, geophysical exploration, and production. A reasonable model should honor borehole rock properties and conform to seismic structural and stratigraphic features. Such a subsurface model can be difficult to build in cases complicated by faults and unconformities. Automatic and semiautomatic methods have been ...

The damage of buildings and manmade structures, where most of human activities occur, is the major cause of casualties of from earthquakes. In this paper, an improved technique, Earthquake Damage Visualization (EDV) is presented for the rapid detection of earthquake damage using the Synthetic Aperture Radar (SAR) data. The EDV is based on the pre-seismic and co-seismic coherence change method. ...

The improved quality and dense sampling of 3-D seismic data has greatly increased the e ectiveness of attribute analysis for seismic interpretation. The availability of seismic attribute images and cubes can greatly facilitate the interpretation of large and complex data volumes. Many seismic attributes that are currently in use are based on parameters that bring forward changes of signal chara...

Irregularity and coarse spatial sampling of seismic data strongly affect the performances processing imaging algorithms. Therefore, interpolation is a usual preprocessing step in most workflows. In this work, we propose method based on deep prior paradigm: an ad hoc convolutional neural network...

Introduction The description of a fault model includes the fault surfaces and associated tip lines, the fault network geometry, and the displacement geometry of faults. Fault surfaces are usually observed from seismic discontinuities, which include reflector breaks, flexures, and amplitude changes. These discontinuities can often have a regular appearance that corresponds to fault geometries fo...

Although, experimental studies have reported fracture at the corner of Steel Plate Shear Walls (SPSW), no study has been performed to investigate the crack effect, yet. Therefore, in this paper, the effect of crack at the corner of SPSWs on the seismic behavior of the system was investigated. Two probable cracks, that have been studies at the corner of SPSWs utilizing extended Finite Element me...