Description

Dynamic simulation is particularly vital in deepwater environments and is widely utilized in both offshore and onshore developments to analyze transient behaviors in pipelines and wellbores. By leveraging the Olga simulator, engineers can predict system dynamics with precision, including time-varying changes in flow rates, fluid compositions, temperature, solids deposition, and operational adjustments.

Key Features and Benefits of Olga™ Simulator:

Transient Flow Modeling: Accurately simulate time-dependent behaviors to optimize production systems.
Enhanced Feasibility Studies: Support field development design with detailed transient analysis.
Deepwater and Onshore Applications: Address complex challenges in both offshore and onshore environments.
Comprehensive System Dynamics: Predict critical factors such as fluctuating flow rates, fluid composition changes, temperature variations, and solids deposition.
Operational Insights: Evaluate the impact of operational changes to improve decision-making and system performance.

The Olga™ simulator adds a new dimension to steady-state analysis, enabling engineers to anticipate and mitigate dynamic challenges in multiphase flow systems. Whether for deepwater projects or onshore developments, Olga™ empowers operators to enhance production efficiency, reduce risks, and achieve optimal results.

Choose Olga™ for advanced transient flow simulation and unlock the full potential of your production systems.

The Olga simulator enables key flow simulation applications, including

liquids handling
sizing separators and slug catchers
managing solids
simulating key operational procedures including start-up, shut-down, and pigging
modeling for contingency planning
assessing environmental risk in complex deepwater drilling environments.

Release updates
As part of our ongoing commitment to excellence, we continuously strive to enhance our product. This latest version brings multiple improvements, updates, and bug-fixes. The most important improvements are mentioned below. Please read the release notes for the full overview.

Olga simulator‘s new solver for CCS

Olga 2025.1 features a newly developed solver for CCS, created through the joint industry project (JIP) Olga CO2. Reach aimed at enhancing CO2 handling capabilities. This solver is designed to provide robust and accurate simulations of CO2 transport and injection. This is crucial for the successful design and operation of CCS systems. It enables reliable and precise multiphase modeling with strong vaporization and condensation. This is key for CCS transport systems and will lead to optimal capital and operational costs.

Olga simulator’s new solver

The Olga simulator’s new solver for CCS offers several improvements, including increased implicitness between pressure and energy, and a reformulation of flash calculations to enhance numerical stability. It ensures numerical stability and reliable solutions, providing increased accuracy without compromising simulation speed.

Research and development of the Olga simulator’s new solver received funding from the CLIMIT program (climit.no) under grant no. 621254 (Olga CO2 Reach).

PVTsim Compositional Tracking Engine

In Olga 2025.1, we re-introduced PVTsim from Calsep as an option for running compositional tracking simulations. Calsep is a leading provider of PVT simulation services to the oil and gas industry, which has solved PVT modeling projects in all continents. The projects involve EoS modeling of all types of reservoir fluids, including natural gas, gas condensates, near critical fluids, black oils and heavy oils. PVTsim CompTrack engine is currently available for PT flash only.

Major update to Olga Slug Tracking

In Olga 2025.1, we have enhanced Olga Slug Tracking by introducing a new option to “track” the development and propagation of statistical mean slug properties. This new model, referred to as “mean tracking,” contrasts with the conventional “individual tracking” model, which tracks the properties of each individual slug.

Olga Slug Tracking

The MEAN tracking model offers several advantages, including generally faster simulation speeds and a reduced need for long simulations to produce a statistically meaningful number of slugs. However, because it does not resolve individual slug properties, mean tracking cannot provide distributions of slug properties, such as slug length. The speed-up benefits of mean tracking are particularly significant in systems with extensive hydrodynamic slugging.

The MEAN tracking development received funding from the PETROMAKS 2 program of the Research Council of Norway as project no. 317814 and further industrial support through Olga Verification and Improvement Projects (OVIP).

The MEAN tracking option requires no post processing for extracting average variables…