Wellbore Fluid Design for Loss Circulation Control
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Solution Overview
Problem
Current fluid design techniques for wellbore cementing do not systematically account for the rheology and density of wellbore fluids, leading to inefficiencies in fluid loss control and displacement during cementing operations.
Innovation Solution
A model-based approach is implemented to determine the effect of rheology and density on fluid loss rates, using a lost circulation model that simulates various loss mechanisms such as natural fractures, induced fractures, and highly permeable zones, allowing for the design of wellbore servicing fluids with specific rheological properties and densities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional spacer fluids are used for displacement, then the fluid may be compatible with displaced fluid and cement composition, but the desired displacement effect is not achieved due to insufficient rheological properties
Solution Approach 1:
The patent applies parameter changes by systematically adjusting rheological parameters (yield point, plastic viscosity, gel strength, shear stress) of spacer fluids based on formation loss characteristics. The design process involves calculating optimal rheological parameters using mathematical models that account for fluid loss rates, wellbore geometry, and formation properties, thereby achieving both displacement effectiveness and rheological compatibility.
Solution Approach 2:
The patent implements preliminary action by pre-calculating the required rheological properties and volumes of spacer fluids before the cementing operation. The design process determines optimal fluid characteristics in advance based on predicted fluid loss scenarios, allowing the spacer fluid to be properly formulated before entering the wellbore, thus ensuring effective displacement from the outset.
2Ease of manufacture
If fluid volumes are determined heuristically based on offset well knowledge, then the design process is simplified, but the determination of spacer and cement volumes is not optimized for specific rheology and density conditions
Solution Approach 1:
The patent replaces heuristic estimation methods with a mathematical modeling approach. The system uses computational models that incorporate rheology and density parameters to calculate optimal fluid volumes, substituting empirical rules with physics-based calculations that provide more accurate predictions while maintaining systematic design procedures.
Solution Approach 2:
The patent implements feedback by using calculated fluid loss rates to adjust and optimize spacer and cement volumes. The mathematical models provide feedback loops where predicted fluid loss informs volume calculations, which are then refined based on the interaction between fluid properties and formation characteristics, achieving precise volume determination.
3Loss of substance
If lost circulation materials are selected based on fluid loss rate control, then fluid loss is reduced, but the rheology and density of wellbore fluids are not systematically accounted for in the design
Solution Approach 1:
The patent merges the selection of lost circulation materials with the determination of spacer and cement fluid volumes into a unified design process. The mathematical models integrate LCM selection criteria with rheology and density considerations, combining previously separate design steps into a coordinated system that simultaneously optimizes all fluid parameters.
Solution Approach 2:
The patent creates a universal design framework that handles multiple functions: LCM selection, spacer fluid design, cement volume calculation, and rheology optimization. The mathematical models serve multiple purposes by accounting for fluid loss control and rheological properties in a single integrated approach, eliminating the need for separate design tools for each function.
Data Source
AI summary
Methods and systems are provided for designing and determining a well service in the presence of loss, including the volume, rates, and duration of pumping of fluids in the presence of losses. A method of designing services for wellbores includes calibrating a loss circulation model with input comprising wellbore state to update the loss circulation model with formation loss zone characteristics; applying the loss circulation model to output at least a prediction of loss rate; and designing a wellbore service at least partially based on the prediction of the loss rate.