Dcapy

• Documentation http://scuervo91.github.io/dcapy
• Sorce Code https://github.com/scuervo91/dcapy
• API Url https://dcapyapi.herokuapp.com/
• PyPi https://pypi.org/project/dcapy/

Dcapy is a Decline Curve Analysis Python package for Oil & Gas that includes the classes and functions to perform a simple production forecast as well as probabilistic Well Schedules with cashflow analysis.

The key features are:

• Simple: Arps and Wor forecast methodologies implemented
• Schedule: Create multiple forecast periods for a single well that represent major interventions, new perforations, etc
• Scenarios: Create multiple Scenarios and evalueate their performance easily
• Cash Flow: Add cashflow parameters (Income, opex, capex) to perform a cashflow analysis to each Period and/or Scenario
• Deterministic/Probabilistic: Add probabilistic variables to add a risk analysis to both simple forecast and schedules. Automatically reschedule start production depending on the callbacks.
• Data Validation: Dcapy uses Pydantic to make data validations when creating new instances
• API: Simple API for saving models on the cloud

Requirements

• Python 3.8+

Installation

$ pip install dcapy

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License

This project is licensed under the terms of the MIT license.