tab so we don't cut off the first characters in the docstring

simpeg · Apr 1, 2016 · b531c16 · b531c16
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diff --git a/SimPEG/Examples/EM_Schenkel_Morrison_Casing.py b/SimPEG/Examples/EM_Schenkel_Morrison_Casing.py
@@ -11,42 +11,42 @@
 
 def run(plotIt=True):
     """
-    EM: Schenkel and Morrison Casing Model
-    ======================================
+        EM: Schenkel and Morrison Casing Model
+        ======================================
 
-    Here we create and run a FDEM forward simulation to calculate the vertical
-    current inside a steel-cased. The model is based on the Schenkel and
-    Morrison Casing Model, and the results are used in a 2016 SEG abstract by
-    Yang et al.
+        Here we create and run a FDEM forward simulation to calculate the vertical
+        current inside a steel-cased. The model is based on the Schenkel and
+        Morrison Casing Model, and the results are used in a 2016 SEG abstract by
+        Yang et al.
 
-    - Schenkel, C.J., and H.F. Morrison, 1990, Effects of well casing on potential field measurements using downhole current sources: Geophysical prospecting, 38, 663-686.
+        - Schenkel, C.J., and H.F. Morrison, 1990, Effects of well casing on potential field measurements using downhole current sources: Geophysical prospecting, 38, 663-686.
 
 
-    The model consists of:
-    - Air: Conductivity 1e-8 S/m, above z = 0
-    - Background: conductivity 1e-2 S/m, below z = 0
-    - Casing: conductivity 1e6 S/m
-        - 300m long
-        - radius of 0.1m
-        - thickness of 6e-3m
+        The model consists of:
+        - Air: Conductivity 1e-8 S/m, above z = 0
+        - Background: conductivity 1e-2 S/m, below z = 0
+        - Casing: conductivity 1e6 S/m
+            - 300m long
+            - radius of 0.1m
+            - thickness of 6e-3m
 
-    Inside the casing, we take the same conductivity as the background.
+        Inside the casing, we take the same conductivity as the background.
 
-    We are using an EM code to simulate DC, so we use frequency low enough
-    that the skin depth inside the casing is longer than the casing length (f
-    = 1e-6 Hz). The plot produced is of the current inside the casing.
+        We are using an EM code to simulate DC, so we use frequency low enough
+        that the skin depth inside the casing is longer than the casing length (f
+        = 1e-6 Hz). The plot produced is of the current inside the casing.
 
-    These results are shown in the SEG abstract by Yang et al., 2016: 3D DC
-    resistivity modeling of steel casing for reservoir monitoring using
-    equivalent resistor network. The solver used to produce these results and
-    achieve the CPU time of ~30s is Mumps, which was installed using pymatsolver_
+        These results are shown in the SEG abstract by Yang et al., 2016: 3D DC
+        resistivity modeling of steel casing for reservoir monitoring using
+        equivalent resistor network. The solver used to produce these results and
+        achieve the CPU time of ~30s is Mumps, which was installed using pymatsolver_
 
-    .. _pymatsolver: https://github.com/rowanc1/pymatsolver
+        .. _pymatsolver: https://github.com/rowanc1/pymatsolver
 
-    This example is on figshare: https://dx.doi.org/10.6084/m9.figshare.3126961.v1
+        This example is on figshare: https://dx.doi.org/10.6084/m9.figshare.3126961.v1
 
-    If you would use this example for a code comparison, or build upon it, a
-    citation would be much appreciated!
+        If you would use this example for a code comparison, or build upon it, a
+        citation would be much appreciated!
 
     """
 

diff --git a/docs/examples/EM_Schenkel_Morrison_Casing.rst b/docs/examples/EM_Schenkel_Morrison_Casing.rst
@@ -9,42 +9,42 @@
 .. --------------------------------- ..
 
 
-Schenkel and Morrison Casing Model
-==================================
+EM: Schenkel and Morrison Casing Model
+======================================
 
- we create and run a FDEM forward simulation to calculate the vertical
-ent inside a steel-cased. The model is based on the Schenkel and
-ison Casing Model, and the results are used in a 2016 SEG abstract by
- et al.
+Here we create and run a FDEM forward simulation to calculate the vertical
+current inside a steel-cased. The model is based on the Schenkel and
+Morrison Casing Model, and the results are used in a 2016 SEG abstract by
+Yang et al.
 
-henkel, C.J., and H.F. Morrison, 1990, Effects of well casing on potential field measurements using downhole current sources: Geophysical prospecting, 38, 663-686.
+- Schenkel, C.J., and H.F. Morrison, 1990, Effects of well casing on potential field measurements using downhole current sources: Geophysical prospecting, 38, 663-686.
 
 
-model consists of:
-r: Conductivity 1e-8 S/m, above z = 0
-ckground: conductivity 1e-2 S/m, below z = 0
-sing: conductivity 1e6 S/m
-- 300m long
-- radius of 0.1m
-- thickness of 6e-3m
+The model consists of:
+- Air: Conductivity 1e-8 S/m, above z = 0
+- Background: conductivity 1e-2 S/m, below z = 0
+- Casing: conductivity 1e6 S/m
+    - 300m long
+    - radius of 0.1m
+    - thickness of 6e-3m
 
-de the casing, we take the same conductivity as the background.
+Inside the casing, we take the same conductivity as the background.
 
-re using an EM code to simulate DC, so we use frequency low enough
- the skin depth inside the casing is longer than the casing length (f
--6 Hz). The plot produced is of the current inside the casing.
+We are using an EM code to simulate DC, so we use frequency low enough
+that the skin depth inside the casing is longer than the casing length (f
+= 1e-6 Hz). The plot produced is of the current inside the casing.
 
-e results are shown in the SEG abstract by Yang et al., 2016: 3D DC
-stivity modeling of steel casing for reservoir monitoring using
-valent resistor network. The solver used to produce these results and
-eve the CPU time of ~30s is Mumps, which was installed using pymatsolver_
+These results are shown in the SEG abstract by Yang et al., 2016: 3D DC
+resistivity modeling of steel casing for reservoir monitoring using
+equivalent resistor network. The solver used to produce these results and
+achieve the CPU time of ~30s is Mumps, which was installed using pymatsolver_
 
-pymatsolver: https://github.com/rowanc1/pymatsolver
+.. _pymatsolver: https://github.com/rowanc1/pymatsolver
 
- example is on figshare: https://dx.doi.org/10.6084/m9.figshare.3126961.v1
+This example is on figshare: https://dx.doi.org/10.6084/m9.figshare.3126961.v1
 
-ou would use this example for a code comparison, or build upon it, a
-tion would be much appreciated!
+If you would use this example for a code comparison, or build upon it, a
+citation would be much appreciated!