Changelog#
0.5.2, 28 February 2022#
0.5.1, 18 February 2022#
Curve.values
now returns a 1D array for a 1D curve.Added
Project.basis_range
to provide the min and max of all curves in the project.Fixed bug #202 with curve indexing.
Fixed bug #206 that prevented quality tests from running on aliased curves.
Fixed bug #207 that was causing the quality table not to render correctly in some situations.
0.5.0, 14 February 2022#
Major change: Everything in
welly
is now much closer topandas
. Chiefly,Curve
objects are now represented by wrappedpandas.DataFrame
objects (note: notSeries
as you might expect, so they can be two-dimensional). They were previously subclassed NumPyndarray
objects, so while we’ve tried to preserve as much of the API as possible, expect some changes. Please let us know if there’s something you miss, it can probably be implemented. Many thanks to the developers that made this happen, especially Patrick Reinhard and Wenting Xiong in the Netherlands.Major change: as previously indicated, the default behaviour is now to load the depth curve in its original units. That is:
welly
no longer converts everything to metres. Useindex='metres'
infrom_las()
to get the old behaviour.Major change: the
Well
object’s header,well.header
, is currently a largepandas.DataFrame
containing everything from the LAS file’s header. In the next minor release, we will restore something more like the original header object. We welcome opinions on how this should work.The
Curve
object should be instantiated withindex
instead ofbasis
.You can now create a project with
welly.read_las('path/to/*.las')
. Note: this always gives you a project, even if it only contains a single well. You can get the single well from a path like'data/myfile.las'
with a singleton assignment likewell, = welly.read_las('data/myfile.las')
.As previously indicated, dogleg severity is now given in units of degrees per course length.
kwargs
are passed tolasio
inread_las()
,Well.from_las()
andProject.from_las()
, so you can add things likemnemonic_case='preserve'
orignore_header_errors=True
. See the Lasio documentation for more on these options.A new argument on
well.to_las()
allows you to control the case of the mnemonics in the output LAS file. The behaviour has always been to preserve the case in the data dictionary; choose ‘upper’, ‘title’ or ‘lower’ to change it.New docs! They are live at code.agilescientific.com/welly. Feedback welcome!
0.4.10, 22 June 2021#
No longer supporting versions of Python before 3.6.
Curve.top_and_tail()
has been implemented. It removes NaNs from the start and end — but not the middle — of a log.You can now optionally pass any of
start
,stop
andstep
toWell.unify_basis()
. These settings will override the basis you provide, or the basis thatwelly
discovers usingWell.survey_basis()
. I added an example of using this to thetutorial/02_Curves.iynb
tutorial notebook.Relatedly, if you pass any of
start
,stop
andstep
toCurve.to_basis()
it will override the basis you give it, if you give it one.Welly now uses
wellpathpy
to convert deviation data into a position log. The API has not changed, but position logs can now be calculated with the high and low tangential methods as well.Dogleg severity is still given in radians, but can be normalized per ‘course length’, where course length is a parameter you can pass. Future warning: from v0.5.0, dogleg severity will be passed in degrees and course length will be 30 by default.
0.4.9, 29 January 2021#
Fixed a bug that was preventing Alias names from appearing in the DataFrame view,
project.df()
andwell.df
. Updated theProject
tutorial to reflect this.Fixed a bug that was preventing Aliases from applying properly to well plots.
Improved the error you get fro
w.plot(tracks=[...])
if there are no curves to plot (e.g. if none of the names exist).
0.4.8, 11 December 2020#
Reorganized the
tutorials
a bit and made sure they all run as-is.A new
Location.from_petrel()
function accepts a Petrel.dev
deviation file. It will extract the x and y location, and the KB, as well as the position log and/or deviation survey.Curve.plot_2d()
now handles NaNs in the curve.The test functions now accept a
keys
argument to limit the number of items the tests will be applied to, or to order the appearance of curves inqc_table_html
. For example, if you passkeys=['GR']
then tests will only be run onw.data['GR']
, regardless of what’s in thetests
dictionary. This was issue #104.You can now pass a
pathlib.Path
object tofrom_las
. Thank you to Kent Inverarity for implementing this feature.Added
XCOORD
andYCOORD
as standard fields; these are read in aslocation.x
andlocation.y
repsectively.Added
Project.plot_map()
to make a quick (ugly) scatter plot from x and y location (whatever two field you provide from thelocation
object).Added the
filter_wells_by_data()
method toProject
, and deprecatedfind_wells_with_curve()
andfind_wells_without_curve()
. You can make complex selections with this function, such as “give me all the wells that have at least two of RHOB, DTC or DTS”.Added the recently added
index
argument (to preserve depth units) toProject
.The LAS header items EKB and EGL are now captured as
ekb
andegl
in thew.location
object. KB and GL are captured askb
andgl
.Thank you Miguel de la Varga for an update that allows a trajectory to have fewer than 3 points.
Thank you DC Slagel for an update that ensures all well header fields are populated with valid types.
0.4.7, 6 June 2020#
Load your well in feet! The number one most hated ‘feature’ has been ‘fixed’… you can now pass the
index
argument toWell.from_las()
orWell.from_lasio()
to control how the index is interpreted. Use'existing'
or'original'
to keep whatever is specified in the LAS file (probably what you want). To convert to metres, use'm'
; to convert to feet use'ft'
.In the next point release, v0.5, we will change the default behaviour to
'original'
, so if you want to keep forcing to metres, you’ll have to change your code toWell.from_las(fname, index='m')
. There is aFutureWarning
about this.The
Curve
object now has abasis_units
attribute carrying this information. Either'm'
or'ft'
.See
tutorial/Well_depth_units_v0.4.7.ipynb
.Thank you to Kent Inverarity for implementing this long-hoped-for feature.
0.4.6, 7 May 2020#
Big fix in
Location
.
0.4.5, 14 November 2019#
Allowed adding the NULL value when writing an LAS file with
w.to_las()
.
0.4.4, 22 October 2019#
Dropped support for Python 2.7 and Python 3.4, and added support for Python 3.7 and 3.8.
Fixed
location
, whose changes were inadvertently rolled back.
0.4.3, October 2019#
You can now pass an
alias
dictionary toWell.df()
, along with the list ofkeys
. You can passkeys
andalias
toProject.df()
as well.A new function,
location.trajectory()
, generates an evenly sampled trajectory, given a sample spacing in metres.Added
location.plot_plan()
andlocation.plot_3d()
for plotting well trajectories.Added a new tutorial notebook,
tutorials/Location.ipynb
to demonstrate the well path capabilities ofWell.location()
. The notebook does not cover geographic CRS’s. There’s still a short example inWell.ipynb
.Fixed some buggy behaviour when creating ‘empty’ wells, and added example to top of
tutorials/Well.ipynb
.You can now pass a URL directly to
Well.from_las()
and it will try to read it.
0.4.2, April 2019#
Implemented basis updating when slicing. In general, you probably want to ‘slice’ (get a subcurve) using
curve.to_basis()
because you can use depth to get the section you want. But if you want to use indexing, likecurve[100:110]
, this operation now updatescurve.start
so thatcurve.basis
is therefore updated.Breaking change:
utils.top_and_tail
now only works on single arrays, and returns a single array.
0.4.1, 24 November 2018#
Fixed a bug in
project.df()
that was building the DataFrame incorrectly.
0.4.0, 20 November 2018#
There are breaking changes in this release.
Export the curves in the current
well.data
to Pandas DataFrame withwell.df()
. Previously, this function returned the DataFrame of the associated LAS file, which is still available inwell.las.df()
.Export the curves in the current Project as a Pandas DataFrame with a dual index: UWI and depth.
Made the APIs of various functions more consistent, e.g. with
keys
always being beforebasis
. This regularization will continue.Made the way to retrieve
keys
more consistent, using the flattened list of keys, if provided, or getting all those keys corresponding to curves, if not. Some of the well methods used to break if there were striplogs inwell.data
, but they should behave a bit better now.Thanks to Jesper Dramsch, the documentation should now be working again. Thanks Jesper!
Added this
CHANGES.md
file.Synthetics don’t work anyway and are definitely broken right now. Test is withheld for now.