Chapter 1 Annotation

1.1 Brief overview

The Pipeline Digital Twin (PDT) is a unique, comprehensive, high-tech, and reliable solution for assessing, monitoring, and optimizing the condition of pipeline systems across every stage of their life cycle.

The platform lets you build a detailed three-dimensional digital model of the network, integrate diverse diagnostic data, calculate load characteristics, determine residual life and safe operating windows, and develop an optimal program for repairs and preventive maintenance.

Figure 1 — Three-dimensional digital model of a pipeline system

1.2 Purpose and scope

The PDT platform manages infrastructure risk for pipeline systems proactively. Its guiding principle: “Manage risks, not consequences.”

The platform focuses on these areas:

  • Infrastructure digitization — building 3D models of pipelines that account for complex topology, materials, and structural features;
  • Load calculation — physically modeling strains, stresses, and bending moments;
  • Failure prediction — pinpointing potentially hazardous zones and forecasting failures;
  • Repair planning — building well-grounded programs for capital and routine repairs;
  • Strength analysis — determining residual life and safe operating windows.

1.3 Target industries

The PDT works for organizations across a range of industries that operate pipeline infrastructure:

Industry Application
Oil and gas Monitoring trunk and field pipelines, forecasting failures
Water utilities and heating networks 3D modeling, diagnostics, and repair planning for water supply networks
Gas services Assessing gas pipeline wear, building repair work plans
Industrial enterprises Inspecting continuous-cycle process pipelines
Utility companies Managing the service life of engineering networks, shifting from emergency to scheduled repairs
Designers and builders Spatial models, load calculations for new facilities

1.4 Key performance indicators

What partners gain from the PDT platform:

  • 6 billion rubles a year — partner savings;
  • 67 % — drop in maintenance costs;
  • 72 % — lower probability of failures.