PIPESIM Python Toolkit 2024.3

PIPESIM Python Toolkit by Schlumberger (SLB) is a Python-based API that gives engineers programmatic control over the PIPESIM steady-state multiphase flow simulator. It enables you to build, modify, and run PIPESIM models at scale, automate repetitive tasks, and integrate simulation results into data science and enterprise workflows.

Key capabilities:

• Create and edit wells, networks, and equipment; configure fluids, PVT, and heat-transfer models; and set boundary conditions and operating scenarios.
• Run simulations programmatically, including batch studies, sensitivities, and parametric sweeps, and retrieve results for nodes, branches, and profiles.
• Automate calibration, forecasting, and optimization workflows (e.g., lift-gas rates, choke settings, artificial lift tuning).
• Export and analyze results with Python libraries such as pandas, NumPy, and matplotlib, or feed data into dashboards and external systems.
• Standardize and version control engineering workflows, improving repeatability and reducing manual errors.

Typical use cases:

• Rapid scenario screening and network deliverability assessments
• Flow-assurance checks and temperature/pressure profiling
• Model maintenance at asset scale and digital twin integration

Requirements:

• A licensed installation of PIPESIM
• Compatible Windows environment
• Python 3.x

With the PIPESIM Python Toolkit, PIPESIM becomes a programmable simulation engine—accelerating engineering studies, enhancing traceability, and enabling seamless integration with modern data and automation platforms.

PIPESIM Python Toolkit is developed by Schlumberger. The most popular versions of this product among our users are: 2022.2, 2023.1, 2024.1, 2024.2 and 2024.3.