Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells
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Updated
May 10, 2022 - Python
Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells
Discounted cash flow analysis for oil and gas
ReservoirFlow: Reservoir Simulation and Engineering Library in Python
This Python script creates a Streamlit web application for a quick IPR Calculation for both an oil and gas reservoir. It collects user input test data and with it performs a curve fitting using scipy.optimize, fitting the Inflow Performance Relationship curve to the data.
Python library to quickly estimate pressure dynamic and CO2/H2 storage capacity of petroleum fields and aquifers + many useful tools
MCP server bridging Claude to the OPM reservoir-simulation stack (Flow, ResInsight, OPM utilities). Linux binaries via WSL; result files parsed natively on Windows.
Web App to apply EOR methods Screening
A Python desktop app for calculating petroleum fluid PVT properties with oil, gas, and water correlations, property tables, charts, and CSV export.
Hierarchical AI Agent Swarm for Oil & Gas Engineering — powered by VibeCaaS.com / NeuralQuantum.ai LLC
A Python package for petroleum engineering relative permeabilities and capillary pressure calculations
Manage oil and gas engineering tasks using a hierarchical AI agent swarm for efficient analysis and decision-making.
Production, reservoir, and artificial lift engineering case studies — nodal analysis, SRP diagnostics, intervention economics, CO2-EOR, and a live surveillance dashboard (Python)
IMPES waterflood simulator plus Haynesville decline curve analysis and EUR estimation
SMARTS — Subsurface Multi-agent Assessment, Recovery & Targeting System. Reusable multi-agent system to assess oil & gas fields (NCS) for rejuvenation, development & exploration decisions.
Advanced algorithms for optimizing CO₂ injection and storage in geological formations
Open-source Python toolkit for DFIT interpretation: G-function analysis, leakoff-regime classification, fracture design bridge, and synthetic data generation. Developed alongside DFIT pressure-diagnostics research at Texas A&M.
Calculator for eliminating thermal lift effect from pumping observations in geothermal wells
Aplicación de Machine Learning y Deep Learning, incluyendo PINNs, para la solución numérica de ecuaciones diferenciales parciales con ejemplos teóricos y prácticos.
Interactive GUI for visualizing STOMP reservoir simulation node output (time-series) data
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