Gppeval 2024.8.4.0.2.Dev1 | GitLocker.com Product

gppeval 2024.8.4.0.2.dev1

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Description:

gppeval 2024.8.4.0.2.dev1

TOPIC
A Python-based stochastic library for assessing geothermal power potential using the volumetric
method in a liquid-dominated reservoir.

Authors

Carlos Pocasangre Jiménez ([email protected])
Fidel Ernesto Cortez Torres ([email protected])
Rubén Alexander Henríquez Miranda ([email protected])




ABSTRACT
We present a Python-based stochastic library for assessing geothermal power
potential using the volumetric method in a liquid-dominated reservoir.
The specific aims of this study are to use the volumetric method, “heat in
place,” to estimate electrical energy production ability from a geothermal
liquid-dominated reservoir, and to build a Python-based stochastic library
with useful methods for running such simulations. Although licensed
software is available, we selected the open-source programming language
Python for this task. The Geothermal Power Potential Evaluation stochastic
library (gppeval) is structured as three essential objects including a
geothermal power plant module, a Monte Carlo simulation module, and a tools
module.
For testing the application, a Jupyter Notebook example has been included in the example
folder.
HINT: Now, this application is available for Python 3.5

Reference
Pocasangre, C., & Fujimitsu, Y. (2018). A Python-based stochastic library for assessing
geothermal power potential using the volumetric method in a liquid-dominated reservoir.
Geothermics, 76, 164-176.
https://doi.org/10.1016/J.GEOTHERMICS.2018.07.009
J. Lawless. 2010. Geothermal Lexicon For Resources and Reserves Definition
and Reporting. 2nd Edition (2010) Edition. Adelaide, Southern Australia:
Australian Geothermal Reporting Code Committee (AGRCC)



INSTALLATION

Required Packages
The following packages should be installed automatically (if using ‘pip’
or ‘easy_install’), otherwise they will need to be installed manually:

NumPy : Numeric Python
SciPy : Scientific Python
Matplotlib : Python plotting library
Mcerp : Monte Carlo Error Propagation
Iapws : The InternationalAssociation for the Properties of Water and Steam
Beautifultable : Utility package to print visually appealing ASCII tables to terminal



How to install
You have several easy, convenient options to install the ‘gppeval’
package (administrative privileges may be required).

Simply copy the unzipped ‘gppeval folder’ directory to any other location that
python can find it and rename it ‘gppeval’.
From the command-line, do one of the following:

Manually download the package files below, unzip to any directory, and
run:

$ [sudo] python setup.py install


If ‘pip’ is installed, run the follow command (stable version and internet connection is required)

$ [sudo] pip install [–upgrade] gppeval








CHANGES OF NEW ISSUE


gppeval (2024.08.04.0.2.dev1).
Fixed bugs.




gppeval (2020.10.1.0.3.dev1).
Added tho-phases reservoir equation.
Fixed bugs.




gppeval (2019.4.17.0.6.dev1).
Python 3.8
Fixed bugs.




gppeval (2019.4.17.0.2.dev1).
Python 3.5 available




gppeval (2018.10.11.0.1.dev1).
The input file csv has been modified. It includes the possibility of using volume as a input
reservoir parameter. Using the word none is possible to exchange between either to use
Area and Thickness or to use only Volume as a reservoir geometric parameter.
Example: Using Area and Thickness

0,Name,14.00061,-88.73744,ReservoirArea,A,km2,5,6,7,0,0,T
1,,,,Thickness,h,m,450,500,600,0,0,T
2,,,,Volume,v,km3,4,6,8.2,0,0,none

Example: Using only Volume

0,Name,14.00061,-88.73744,ReservoirArea,A,km2,5,6,7,0,0,None
1,,,,Thickness,h,m,450,500,600,0,0,None
2,,,,Volume,v,km3,4,6,8.2,0,0,T





gppeval (2018.4.6.0.1.dev1).
Original issue after have been upload as a stable.




gppeval (2017.10.1.0.1.dev1).
Original issue.






CONTACT
Please send feature requests, bug reports, or feedback to: Carlos O. POCASANGRE JIMENEZ

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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