Theoretical and applied aspects of forming a deposit control system in trunk pipelines
DOI:
https://doi.org/10.33271/crpnmu/86.115Keywords:
trunk pipeline, deposit control, monitoring, forecasting, inhibition, pigging, flow management, paraf-fin depositsAbstract
Purpose. To develop the theoretical foundations and structure of an integrated deposit control system for trunk pipelines, combining the forecasting, monitoring, prevention, and removal of organic and inorganic deposits to ensure hydraulic and thermal efficiency.
The methods. A systems analysis of scientific and technical literature was employed. A conceptual model was proposed, comprising diagnostic, prognostic, preventive, and reactive subsystems. The diagnostic subsystem monitors flow parameters and the condition of the internal surface; the prognostic subsystem models deposit growth; the preventive subsystem handles chemical inhibition and thermohydraulic regulation; and the reactive subsystem manages cleaning and emergency measures.
Findings. The system's principles were formulated: continuity, adaptability, multi-level operation, priority of prevention, and energy efficiency. A structural scheme was developed covering data collection (temperature, pressure, flow rate, and differential pressure), 1D thermohydraulic modeling with a deposit growth sub-model, decision-making based on trigger thresholds and economic optimization, as well as inhibitor dosing, pig launching, and pumping mode adjustment. Reductions of 40–70% in emergency shutdowns and 20–35% in cleaning costs are anticipated, along with a 1.5–2-fold extension of the interval between maintenance operations. A 200 km section of an oil pipeline with an 18% paraffin content was analyzed.
The originality. A comprehensive concept for deposit control is proposed for the first time, integrating feedback, predictive control, and risk-based planning with technologies for embedded monitoring, intelligent cleaning, and automated dosing. A criterion for the economic feasibility of intervention is proposed, accounting for cleaning costs, throughput losses, and energy consumption.
Practical implementation. The system is suitable for pipelines of various diameters, lengths, and oil types; it enables the automation of cleaning decisions, optimizes reagent consumption, and reduces the risk of accidents. The expected economic benefit amounts to 15–30% of annual operating costs.
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