Curvature attribute based on dip scan with eccentric window
Volume curvature attribute has formed an integral part of seismic interpretation projects because of its efficient utility in detecting seismic discontinuity,seismic curve,especially in predicting fracture reservoir.So it's necessary to enhance the accuracy of curvature attribute calculation.The key technique is to estimate dip vector exactly and subtly.This paper presents an eccentric window scan method.It involves four eccentric lateral windows and five vertical slipping windows.Then the least square method is used to interpolate accurate dip value.The eccentric scan method avoids ignoring detailed information and the heavy impact of noise.In addition,we use a median filter to dip data so as to remove some noise while preserving the details.Curvature attribute calculated with the dip data scanned from this eccentric window proves a better effect in faults or other geological structure recognition.Meanwhile the signal to noise ratio is increased compared with multi window scan method.