Asphaltene Accumulation Analysis for Well Cleaning

Challenges

Asphaltene precipitation poses a significant challenge in oil production, leading to well clogging, reduced oil recovery, and expensive intervention.
Deposition mechanisms remain complex, poorly understood, and different from well to well depending on its parameters.
No holistic risk assessment is available to decide where preventive measures are worth taking.

Approach

Production data, well and reservoir static data, flow tests, fluid parameters, PVT lab tests and well blockage history are combined into aligned time series, then enriched with domain features reflecting asphaltene stability, thermodynamics and flow properties.

On that basis the model predicts accumulation in advance, leaving time to perform preventive action, and explains which levers reduce the risk.

Key features

Complex data ingestion across production, reservoir, flow test and lab sources
Domain-driven features for asphaltene stability, thermodynamics and flow
Cloggage risk model that predicts accumulation ahead of time
Insights on buildup mechanisms and the levers that reduce risk

Impact

63%

Well cloggage cases predicted in advance, for preliminary cleaning scheduling

Lost production reduced by timely cleaning

As stated in the company deck

Buildup mechanisms explained, not just flagged