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Engineered for performance: cementing software that delivers

Halliburton’s cementing software helps us design, evaluate, and optimize cementing operations for our customers with precision and confidence. Below are answers to common questions about how our software supports well integrity, loss mitigation, and operational efficiency.

How does the software evaluate safe passage of particles through downhole equipment?

The system analyzes equipment dimensions and particle properties to calculate the likelihood of bridging or packing. It ensures particles can pass through float collars, liner hangers, and plugs without causing obstructions—helping maintain flow assurance and prevent costly delays.

What determines the maximum safe concentration of lost circulation materials (LCMs)?

Our software evaluates fluid rheology, equipment restrictions, and wellbore geometry to calculate the highest concentration of LCMs that can be added without risking plugging or transport failure. This helps customers balance loss mitigation with operational safety. 

How is particle settling during pump shutdowns predicted?

By modeling fluid density, particle size, and settling rates, the software estimates how much material will accumulate over time. It identifies the point at which static suspendability fails, allowing customers to plan for contingencies and maintain wellbore stability.

How does the system optimize LCM and fluid combinations for loss mitigation?

The software simulates wellbore hydraulics and loss zone dynamics to recommend the most effective LCM type, concentration, and fluid properties. This helps seal fractures or permeable formations efficiently, reducing non-productive time and improving cement placement. 

What is the role of filter cake modeling in loss control?

Filter cake modeling predicts how LCM-laden fluids form a barrier when lost into the formation. The software estimates how the cake builds up and reduces losses to a manageable level, supporting long-term well integrity and minimizing formation damage.

How are historical cementing jobs used to improve current designs?

A machine learning model clusters similar jobs based on well conditions and evaluates design decisions. It assigns a Cement Dependability Index (CDI) score to current designs, helping customers apply global best practices and improve job reliability. 

What is the Cement Dependability Index (CDI)?

CDI is a metric that reflects the effectiveness of a cement job based on design decisions that mitigate operational risks and support wellbore integrity. It helps customers benchmark performance and make data-driven improvements.

How does the system support long-term well integrity across the well lifecycle?

Using finite element analysis, the software simulates thermo-mechanical stresses on the cement sheath during drilling, production, injection, stimulation, evacuation, and abandonment phases. It identifies failure risks and tailors cement properties to maintain integrity throughout the well’s life. 

What failure modes are evaluated for cement systems?

The software assesses multiple failure modes, including mechanical stress, thermal cycling, chemical degradation, and hydraulic pressure changes. This comprehensive evaluation helps us design cement systems that withstand complex downhole conditions.

Explore Halliburton cementing software

iCem® cementing software service

iCem® cementing software service

Cementing barrier design and tailoring digital twin software that enables real-time job monitoring, evaluation, and instantaneous barrier validation.

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Lost Circulation Wizard™ software

Lost Circulation Wizard™ software

Lost Circulation Wizard™ software allows Halliburton technical professionals to predict the optimal LCM/fluid package to mitigate losses during and after cement operations.

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Particle Wizard™ particle management software

Particle Wizard™ particle management software

Evaluating LCM selection and concentration for optimal passage, suspendability, and transport.

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Barrier Advisor™ model

Barrier Advisor™ model

Tailored design decisions employed by machine learning to improve the probability of operational success.

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WellLife® cementing software

WellLife® cementing software

Advanced FEA analyzes the casing, cement sheath, and formation information to determine the cement mechanical properties necessary for long-term integrity.

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