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	tscripts to interpret permeability and diffusivity experiments - sphere - GPU-b…
	git clone git://src.adamsgaard.dk/sphere
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	---
	commit 96eeffa6fcc7b60bcc548030d18412780338bfe5
	parent 98dd28151787ad19ca169cf0c8f76bc378d3108e
	Author: Anders Damsgaard <[email protected]>
	Date: Wed, 27 Aug 2014 09:50:25 +0200

	scripts to interpret permeability and diffusivity experiments

	Diffstat:
	M python/consolidation-curve.py \| 2 +-
	A python/diffusivity-results.py \| 44 +++++++++++++++++++++++++++++…
	M python/permeability-results.py \| 38 +++++++++++++++++------------…

	3 files changed, 66 insertions(+), 18 deletions(-)
	---
	diff --git a/python/consolidation-curve.py b/python/consolidation-curve.py
	t@@ -74,8 +74,8 @@ plt.ylabel('Thickness change [m]')
	for c in range(len(c_grad_p_list)):
	plt.semilogx(t[c], H[c], 'o-', label='$c$ = %.2f' % (c_grad_p_list[c]))
	plt.grid()
	-plt.legend(loc=0)

	+plt.legend(loc=0)
	plt.tight_layout()
	filename = 'cons-curves.pdf'
	plt.savefig(filename)
	diff --git a/python/diffusivity-results.py b/python/diffusivity-results.py
	t@@ -0,0 +1,44 @@
	+#!/usr/bin/env python
	+import matplotlib
	+matplotlib.use('Agg')
	+matplotlib.rcParams.update({'font.size': 18, 'font.family': 'serif'})
	+import os
	+
	+import sphere
	+import numpy
	+import matplotlib.pyplot as plt
	+import diffusivitycalc
	+
	+
	+c_phi = 1.0
	+c_grad_p = 1.0
	+sigma0_list = numpy.array([5.0e3, 10.0e3, 20.0e3, 40.0e3, 80.0e3, 160.0e3])
	+alpha = numpy.empty(len(sigma0_list))
	+
	+dc = diffusivitycalc.DiffusivityCalc()
	+
	+i = 0
	+for sigma0 in sigma0_list:
	+
	+ sim = sphere.sim('cons-sigma0=' + str(sigma0) + '-c_phi=' + \
	+ str(c_phi) + '-c_grad_p=' + str(c_grad_p), fluid=True)
	+
	+ sim.visualize('walls')
	+ sim.plotLoadCurve()
	+ #sim.writeVTKall()
	+
	+ i += 1
	+
	+
	+plt.xlabel('Normal stress $\\sigma_0$ [kPa]')
	+plt.ylabel('Hydraulic diffusivity $\\alpha$ [m$^2$s$^{-1}$]')
	+#plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
	+sigma0 /= 1000.0
	+plt.plot(sigma0, alpha, 'o-k')
	+plt.grid()
	+
	+plt.tight_layout()
	+filename = 'diffusivity-sigma0-vs-alpha.pdf'
	+plt.savefig(filename)
	+print(os.getcwd() + '/' + filename)
	+plt.savefig(filename)
	diff --git a/python/permeability-results.py b/python/permeability-results.py
	t@@ -27,22 +27,23 @@ for c_grad_p in cvals:
	sids.append('permeability-dp=' + str(dp) + '-c_phi=' + \
	str(c_phi) + '-c_grad_p=' + str(c_grad_p))

	- K[c] = numpy.empty(len(sids))
	- dpdz[c] = numpy.empty_like(K)
	- Q[c] = numpy.empty_like(K)
	- phi_bar[c] = numpy.empty_like(K)
	+ K[c] = numpy.zeros(len(sids))
	+ dpdz[c] = numpy.zeros_like(K[c])
	+ Q[c] = numpy.zeros_like(K[c])
	+ phi_bar[c] = numpy.zeros_like(K[c])
	i = 0

	for sid in sids:
	- pc = PermeabilityCalc(sid, plot_evolution=False, print_results=False,
	- verbose=False)
	- K[c][i] = pc.conductivity()
	- pc.findPressureGradient()
	- pc.findCrossSectionalFlux()
	- dpdz[c][i] = pc.dPdL[2]
	- Q[c][i] = pc.Q[2]
	- pc.findMeanPorosity()
	- phi_bar[c][i] = pc.phi_bar
	+ if os.path.isfile('../output/' + sid + '.status.dat'):
	+ pc = PermeabilityCalc(sid, plot_evolution=False, print_results=Fal…
	+ verbose=False)
	+ K[c][i] = pc.conductivity()
	+ pc.findPressureGradient()
	+ pc.findCrossSectionalFlux()
	+ dpdz[c][i] = pc.dPdL[2]
	+ Q[c][i] = pc.Q[2]
	+ pc.findMeanPorosity()
	+ phi_bar[c][i] = pc.phi_bar

	i += 1

	t@@ -58,9 +59,12 @@ fig = plt.figure()
	plt.xlabel('Pressure gradient $\\Delta p/\\Delta z$ [kPa m$^{-1}$]')
	plt.ylabel('Hydraulic conductivity $K$ [ms$^{-1}$]')
	plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
	-for c in range(len(c_vals)):
	- dpdz /= 1000.0
	- plt.plot(dpdz[c], K[c], 'o-', label='$c$ = %.2f' % (c_vals[c]))
	+for c in range(len(cvals)):
	+ dpdz[c] /= 1000.0
	+ #plt.plot(dpdz[c], K[c], 'o-', label='$c$ = %.2f' % (cvals[c]))
	+ #plt.semilogx(dpdz[c], K[c], 'o-', label='$c$ = %.2f' % (cvals[c]))
	+ #plt.semilogy(dpdz[c], K[c], 'o-', label='$c$ = %.2f' % (cvals[c]))
	+ plt.loglog(dpdz[c], K[c], 'o-', label='$c$ = %.2f' % (cvals[c]))
	plt.grid()

	#plt.subplot(3,1,2)
	t@@ -75,8 +79,8 @@ plt.grid()
	#plt.plot(dpdz, phi_bar, '+')
	#plt.grid()

	+plt.legend()
	plt.tight_layout()
	filename = 'permeability-dpdz-vs-K-vs-c.pdf'
	-plt.savefig(filename)
	print(os.getcwd() + '/' + filename)
	plt.savefig(filename)