Metadata-Version: 2.1
Name: petbox-dca
Version: 1.0.7
Summary: Decline Curve Library
Home-page: https://github.com/petbox-dev/dca
Author: David S. Fulford
Author-email: petbox-dev@gmail.com
License: MIT
Description: ===================================
        Decline Curve Models ``petbox-dca``
        ===================================
        
        -----------------------------
        Petroleum Engineering Toolbox
        -----------------------------
        
        .. image:: https://img.shields.io/pypi/v/petbox-dca.svg
            :target: https://pypi.org/project/petbox-dca/
            
        .. image:: https://travis-ci.org/petbox-dev/dca.svg?branch=master
            :target: https://travis-ci.org/github/petbox-dev/dca
        
        .. image:: https://readthedocs.org/projects/petbox-dca/badge/?version=latest
            :target: https://petbox-dca.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://coveralls.io/repos/github/petbox-dev/dca/badge.svg
            :target: https://coveralls.io/github/petbox-dev/dca
            :alt: Coverage Status
        
        
        Empirical analysis of production data requires implementation of several decline curve models spread over years and multiple SPE publications. Additionally, comprehensive analysis requires graphical analysis among multiple diagnostics plots and their respective plotting functions. While each model's ``q(t)`` (rate) function may be simple, the ``N(t)`` (cumulative volume) may not be. For example, the hyperbolic model has three different forms (hyperbolic, harmonic, exponential), and this is complicated by potentially multiple segments, each of which must be continuous in the rate derivatives. Or, as in the case of the Power-Law Exponential model, the ``N(t)`` function must be numerically evaluated.
        
        This library defines a single interface to each of the implemented decline curve models. Each model has validation checks for parameter values and provides simple-to-use methods for evaluating arrays of ``time`` to obtain the desired function output.
        
        Additionally, we also define an interface to attach a GOR/CGR yield function to any primary phase model. We can then obtain the outputs for the secondary phase as easily as the primary phase.
        
        Analytic functions are implemented wherever possible. When not possible, numerical evaluations are performed using ``scipy.integrate.fixed_quad``. Given that most of the functions of interest that must be numerically evaluated are monotonic, this generally works well.
        
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Primary Phase          | `Transient Hyperbolic <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.THM>`_,                                  |
        |                        | `Modified Hyperbolic <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.MH>`_,                                    |
        |                        | `Power-Law Exponential <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.PLE>`_,                                 |
        |                        | `Stretched Exponential <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.SE>`_,                                  |
        |                        | `Duong <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.Duong>`_                                                |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Secondary Phase        | `Power-Law Yield <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.PLYield>`_                                    |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Water Phase            | `Power-Law Yield <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.PLYield>`_                                    |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        
        The following functions are exposed for use
        
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Base Functions         | `rate(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.DeclineCurve.rate>`_,                                 |
        |                        | `cum(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.DeclineCurve.cum>`_,                                   |
        |                        | `D(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.DeclineCurve.D>`_,                                       |
        |                        | `beta(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.DeclineCurve.beta>`_,                                 |
        |                        | `b(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.DeclineCurve.b>`_,                                       |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Transient Hyperbolic   | `transient_rate(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.THM.transient_rate>`_,                      |
        |                        | `transient_cum(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.THM.transient_cum>`_,                        |
        |                        | `transient_D(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.THM.transient_D>`_,                            |
        |                        | `transient_beta(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.THM.transient_beta>`_,                      |
        |                        | `transient_b(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.THM.transient_b>`_                             |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Primary Phase          | `add_secondary <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.PrimaryPhase.add_secondary>`_,                  |
        |                        | `add_water <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.PrimaryPhase.add_water>`_                           |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Secondary Phase        | `gor(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.SecondaryPhase.gor>`_,                                 |
        |                        | `cgr(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.SecondaryPhase.cgr>`_                                  |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Water Phase            | `wor(t) <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.WaterPhase.wor>`_                                      |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        | Utility                | `bourdet <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.bourdet>`_,                                           |
        |                        | `get_time <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.get_time>`_,                                         |
        |                        | `get_time_monthly_vol <https://petbox-dca.readthedocs.io/en/latest/api.html#petbox.dca.get_time_monthly_vol>`_                  |
        +------------------------+---------------------------------------------------------------------------------------------------------------------------------+
        
        
        Getting Started
        ===============
        
        Install the library with `pip <https://pip.pypa.io/en/stable/>`_:
        
        .. code-block:: shell
        
            pip install petbox-dca
        
        
        A default time array of evenly-logspaced values over 5 log cycles is provided as a convenience.
        
        .. code-block:: python
        
            >>> from petbox import dca
            >>> t = dca.get_time()
            >>> mh = dca.MH(qi=1000.0, Di=0.8, bi=1.8, Dterm=0.08)
            >>> mh.rate(t)
            array([986.738, 982.789, 977.692, ..., 0.000])
        
        
        We can also attach secondary phase and water phase models, and evaluate the rate just as easily.
        
        .. code-block:: python
        
            >>> mh.add_secondary(dca.PLYield(c=1200.0, m0=0.0, m=0.6, t0=180.0, min=None, max=20_000.0))
            >>> mh.secondary.rate(t)
            array([1184.086, 1179.346, 1173.231, ..., 0.000])
        
            >>> mh.add_water(dca.PLYield(c=2.0, m0=0.0, m=0.1, t0=90.0, min=None, max=10.0))
            >>> mh.water.rate(t)
            array([1.950, 1.935, 1.917, ..., 0.000])
        
        
        Once instantiated, the same functions and process for attaching a secondary phase work for any model.
        
        .. code-block:: python
        
            >>> thm = dca.THM(qi=1000.0, Di=0.8, bi=2.0, bf=0.8, telf=30.0, bterm=0.03, tterm=10.0)
            >>> thm.rate(t)
            array([968.681, 959.741, 948.451, ..., 0.000])
        
            >>> thm.add_secondary(dca.PLYield(c=1200.0, m0=0.0, m=0.6, t0=180.0, min=None, max=20_000.0))
            >>> thm.secondary.rate(t)
            array([1162.417, 1151.690, 1138.141, ..., 0.000])
        
            >>> ple = dca.PLE(qi=1000.0, Di=0.1, Dinf=0.00001, n=0.5)
            >>> ple.rate(t)
            array([904.828, 892.092, 877.768, ..., 0.000])
        
            >>> ple.add_secondary(dca.PLYield(c=1200.0, m0=0.0, m=0.6, t0=180.0, min=None, max=20_000.0))
            >>> ple.secondary.rate(t)
            array([1085.794, 1070.510, 1053.322, ..., 0.000])
        
        
        Applying the above, we can easily evaluate each model against a data set.
        
        .. code-block:: python
        
            >>> import matplotlib.pyplot as plt
            >>> fig = plt.figure()
            >>> ax1 = fig.add_subplot(121)
            >>> ax2 = fig.add_subplot(122)
        
            >>> ax1.plot(t_data, rate_data, 'o')
            >>> ax2.plot(t_data, cum_data, 'o')
        
            >>> ax1.plot(t, thm.rate(t))
            >>> ax2.plot(t, thm.cum(t) * cum_data[-1] / thm.cum(t_data[-1]))  # normalization
        
            >>> ax1.plot(t, ple.rate(t))
            >>> ax2.plot(t, ple.cum(t) * cum_data[-1] / ple.cum(t_data[-1]))  # normalization
        
            >>> ...
        
            >>> plt.show()
        
        .. image:: https://github.com/petbox-dev/dca/raw/master/docs/img/model.png
            :alt: model comparison
        
        
        See the `API documentation <https://petbox-dca.readthedocs.io/en/latest/api.html>`_ for a complete listing, detailed use examples, and model comparison.
        
        
        Development
        ===========
        ``petbox-dca`` is maintained by David S. Fulford (`@dsfulf <https://github.com/dsfulf>`_). Please post an issue or pull request in this repo for any problems or suggestions!
        
        
        Version History
        ===============
        
        
        
        1.0.6
        -----
        
        * New functions
            * Added ``WaterPhase`` class
            * Added ``WaterPhase.wor`` method
            * Added ``PrimaryPhase.add_water`` method
        
        * Other Changes
            * A ``yield`` model may inherit both ``SecondaryPhase`` and ``WaterPhase``, with the respective methods removed upon attachment to a ``PrimaryPhase``.
        
        1.0.5
        -----
        
        * New functions
            * Bourdet algorithm
        
        * Other Changes
            * Update docstrings
            * Add bourdet data derivatives to detailed use examples
        
        
        1.0.4
        -----
        
        * Fix typos in docs
        
        
        1.0.3
        -----
        
        * Add documentation
        * Genericize numerical integration
        * Various refactoring
        
        
        0.0.1 - 1.0.2
        -------------
        
        * Internal releases
        
Keywords: petbox-dca,dca,decline curve,type curve,production forecast,production data analysis
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries
Classifier: Typing :: Typed
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
