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Creating a digital model of infrastructure development of the piping and electrical network

Calculation of multi-phase flows through pipelines and calculation of voltage losses in circuits

Tools for technical and economic evaluation and comprehensive optimization of the infrastructure development system in order to minimize its construction costs

CLS Planner

Digital platform for conceptual design of the logistics of hydrocarbon products and emissions

Buy a License

Request a Demo

GLOBAL MAXIMUM

LOCAL MAXIMUM

Creating a digital model of infrastructure development of the piping and electrical network

Calculation of multi-phase flows through pipelines and calculation of voltage losses in circuits

Tools for technical and economic evaluation and comprehensive optimization of the infrastructure development system in order to minimize its construction costs

CLS Planner

Digital platform for conceptual design of the logistics of hydrocarbon products and emissions

Buy a License

Request a Demo

GLOBAL MAXIMUM

LOCAL MAXIMUM

Key features

Designing the gathering and power supply system for oil and gas fields

Modeling multi-phase flows in the gathering system: BlackOil and compositional model

Simulation of voltage losses within the electrical circuits

Scenario analysis of infrastructure development options

Comprehensive infrastructure optimization: gathering system, cluster pads and wells

Analysis of economic efficiency based on the cost estimation model

Applications

Calculation of multi-phase flows

Calculation of PVT-properties based on compositional and BlackOil models
Supported correlations: Beggs-Brill, Mukherjee-Brill and Xiao
Automated adaptation of the model to the current state
Accounting for equipment: pumps, compressors, fittings
Accounting for heat exchange with the environment
Maintaining a cyclic network topology
Calculation of the network state for several time intervals

Optimization of cluster pad distribution pattern

Determining the optimal position for cluster pads based on the position of geological targets
Accounting for allowable amount of waste and limiting the number of geological targets per one cluster pad
Accounting for restricted areas when determining the position of the center of a cluster pad
The economic model takes into account the expenses for cluster pad construction and well hookup
Developing a set of options for the location of cluster pads for subsequent selection

Optimization of pipeline network topology

Determining the optimal gathering network topology by taking into account the topographic features and value map
Accounting for restricted areas when determining the network topology
Optimization of land network based on the Steiner algorithm:
Minimizing the cost of pipeline laying and bypassing restricted areas using the Dijkstra algorithm
Developing a set of optimal options for gathering network topologies

Automatic creation of well trajectories

Developing well trajectories based on drilling patterns for controlled directional and horizontal wells using the minimum curvature method
Accounting for the directional drilling difficulty index (DDI)
Accounting for the risk of crossing trajectories (ISCWSA model)
Accounting for the rate of drilling through different lithologic layers
Determining the cost of drilling wells by taking into account the measured depth and drilling pattern
Determination of an optimal option of well trajectories for each cluster pad

Interactive development of a digital model

Working with various gathering network designs by taking into account the development dynamics
Bulk import of location coordinates of point objects of the network and numerous editing of object properties
Undo/redo function for each user action
Converting project files from Pipesim
Interactive work with objects on maps and in graphs
Working with cartographic services
Automatic calculation of the elevation of network objects and pipeline profile
Access to the results of hydraulic and electrical calculations in the form of a table, a map and a graph

Careers

info@stratasolutions.ru

121205, Moscow, Nobel street, 7

Exploratory Research

App Development

Process Modernization and Optimization

Artificial Intelligence and Machine Learning