JOODS (2021)
Online Outlier Detection Service
JOODS is a web application developed using Django framework in Python.
It helps you detecting outliers in your two dimensional data source.
You can use three implemented methods in JOODS: "Kth Nearest Neighbors", and "MJ Methods".
The Kth Nearest Neighbors algorithm is a supervised machine learning algorithm that
can be used to solve both classification and regression problems.
In defined MJ Methods, the error is calculated using two adjacent neighbor points on
both
sides. Also, a multiplier is used to strengthen the effect of large anomalies in each point
set.
Try it now!
Libra (2019)
Integrated Material Balance Software
Libra is developed using C# and has an intricate and interactive user interface. Libra is an
integrated in-house tool for Material Balance study. It can be used for both conventional
and fractured reservoirs. In Libra, you can create several objects of fluid, rock,
saturation, sector, etc. and finally, create different sectors using the defined objects to
run a single or multi-sector model and start the analysis.
Results can be seen using powerful customizable charts and reports.
PROSPECT (2014)
Production Data Analysis Software
"PROSPECT" is a software solution to analyze petroleum production data using Decline Curve
Analysis methods such as Arps, Blasingame, NPI, etc.
PROSPECT has an interactive interface allowing engineers in manual curve-fitting process,
type-curve matching and plotting semi-log trend-lines.
Additionally, taking the advantage of Genetic Algorithm, PROSPECT helps engineers in
automating the type-curve matching process and forecasting production data consequently.
JUWAP (2020)
PETREL Plugin Creating Statistical Reports
JUWAP is developed using ocean framework in C# to help engineers in
statistical data analysis and economical calculations.
User can analyze the large eclipse print files quickly, filter the results and create the
reports
from implemented report gallery or make customized reports interactively. One can Export the
results to excel files.
Other Activities
PyOutlierDetector
PyOutlierDetector is a Python program with GUI.
The program enables the user applying implemented outlier detection methods , similar to those
in JOODS. This program is written in python and has graphical user interface.
The source code is distributed publicly on github.
Visit PyOutlierDetector on Github
TypeCurve Plotter
TypeCurve Plotter is an Excel spreadsheet helps in plotting well-test typecurves
TypeCurve Plotter is developed in Excel using VBA scripting in order to solve PDEs in laplacian
space
by implementing Stehfest Algorithm in order to solve the equation numerically. User is able to
generate different customized curves and generate his/her own typecurve.
Download TypeCurve Plotter from Github