def make_rc_elastic(model_vp,model_vs,model_rho,ang):
'''
Computes angle-dependent reflectivities of an elastic model created with make_wedge + assign_el.
Uses Aki-Richards approximation.
INPUT
model_vp: 2D numpy array containing Vp values
model_vs: 2D numpy array containing Vs values
model_rho: 2D numpy array containing density values
ang: list with near, mid, far angle, e.g. ang=[5,20,40]
OUTPUT
rc_near: 2D numpy array containing near-stack reflectivities
rc_mid: 2D numpy array containing mid-stack reflectivities
rc_far: 2D numpy array containing far-stack reflectivities
'''
from agilegeo.avo import akirichards
[n_samples, n_traces] = model_vp.shape
rc_near=np.zeros((n_samples,n_traces))
rc_mid=np.zeros((n_samples,n_traces))
rc_far=np.zeros((n_samples,n_traces))
uvp = model_vp[:-1][:][:]
lvp = model_vp[1:][:][:]
uvs = model_vs[:-1][:][:]
lvs = model_vs[1:][:][:]
urho = model_rho[:-1][:][:]
lrho = model_rho[1:][:][:]
rc_near=akirichards(uvp,uvs,urho,lvp,lvs,lrho,ang[0])
rc_mid=akirichards(uvp,uvs,urho,lvp,lvs,lrho,ang[1])
rc_far=akirichards(uvp,uvs,urho,lvp,lvs,lrho,ang[2])
rc_near=np.concatenate((rc_near,np.zeros((1,n_traces)))) # add 1 row of zeros at the end
rc_mid=np.concatenate((rc_mid,np.zeros((1,n_traces))))
rc_far=np.concatenate((rc_far,np.zeros((1,n_traces))))
return rc_near, rc_mid, rc_far
def make_rc_elastic(model_vp, model_vs, model_rho, ang):
'''
Computes angle-dependent reflectivities of an elastic model created with make_wedge + assign_el.
Uses Aki-Richards approximation.
INPUT
model_vp: 2D numpy array containing Vp values
model_vs: 2D numpy array containing Vs values
model_rho: 2D numpy array containing density values
ang: list with near, mid, far angle, e.g. ang=[5,20,40]
OUTPUT
rc_near: 2D numpy array containing near-stack reflectivities
rc_mid: 2D numpy array containing mid-stack reflectivities
rc_far: 2D numpy array containing far-stack reflectivities
'''
from agilegeo.avo import akirichards
[n_samples, n_traces] = model_vp.shape
rc_near = np.zeros((n_samples, n_traces))
rc_mid = np.zeros((n_samples, n_traces))
rc_far = np.zeros((n_samples, n_traces))
uvp = model_vp[:-1][:][:]
lvp = model_vp[1:][:][:]
uvs = model_vs[:-1][:][:]
lvs = model_vs[1:][:][:]
urho = model_rho[:-1][:][:]
lrho = model_rho[1:][:][:]
rc_near = akirichards(uvp, uvs, urho, lvp, lvs, lrho, ang[0])
rc_mid = akirichards(uvp, uvs, urho, lvp, lvs, lrho, ang[1])
rc_far = akirichards(uvp, uvs, urho, lvp, lvs, lrho, ang[2])
rc_near = np.concatenate((rc_near, np.zeros(
(1, n_traces)))) # add 1 row of zeros at the end
rc_mid = np.concatenate((rc_mid, np.zeros((1, n_traces))))
rc_far = np.concatenate((rc_far, np.zeros((1, n_traces))))
return rc_near, rc_mid, rc_far
def test_akirichards(self):
vp1 = 12250.
vp2 = 11600.
vs1 = 6200.
vs2 = 6650.
rho1 = 2.66
rho2 = 2.34
theta = 40.
reflect = avo.akirichards(vp1, vs1, rho1, vp2, vs2, rho2, theta)
self.assertAlmostEquals(reflect, -0.112236, places=3)
def test_akirichards(self):
vp1 = 12250.
vp2 = 11600.
vs1 = 6200.
vs2 = 6650.
rho1 = 2.66
rho2 = 2.34
theta = 40.
reflect = avo.akirichards( vp1,vs1,rho1,vp2,vs2,rho2,theta )
self.assertAlmostEquals( reflect, -0.112236, places=3 )
def test_akirichards(self):
vp1 = 12250.
vp2 = 11600.
vs1 = 6200.
vs2 = 6650.
rho1 = 2.66
rho2 = 2.34
theta = np.arange(45)
reflect = avo.akirichards(vp1, vs1, rho1, vp2, vs2, rho2, theta)
reflect_zoep = avo.zoeppritz(vp1, vs1, rho1, vp2, vs2, rho2, theta)
# See if it is within .1 of zoep for < 45 deg
test = np.allclose(reflect, reflect_zoep, rtol=self.tolerance)
self.assertTrue(test)
def akirichards(Rp0, Rp1, theta1):
reflection.akirichards(Rp0.vp, Rp0.vs, Rp0.rho, Rp1.vp, Rp1.vs, Rp1.rho, theta1)
