Wellbore Fluid Transfer Model Optimization
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Solution Overview
Problem
Existing fluid transfer models in subterranean wellbore operations are inefficient due to unwieldy computational methods that fail to account for dynamic changes in wellbore servicing systems, leading to logistical burdens and resource inefficiencies during displacement operations.
Innovation Solution
Implementing a fluid transfer model simulated by an information handling system that adjusts based on real-time data from sensors, using a wellbore monitoring system to control the transfer of wellbore servicing fluids and return fluids across containers, optimizing container selection and fluid distribution based on expected and actual properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If existing computational methods are used for fluid transfer modeling, then the model can be established, but the computational methods become unwieldy and time-consuming
Solution Approach 1:
The fluid transfer model is segmented into discrete time steps and container units, allowing the complex continuous system to be modeled as a series of manageable discrete states. Each time step represents a specific interval during the displacement operation, and each container is tracked independently, making the overall computational process more tractable and faster.
Solution Approach 2:
The model dynamically adjusts container assignments and fluid transfer plans based on real-time changes in wellbore servicing system properties. The system continuously updates expected properties against actual properties and modifies the transfer plan accordingly, making the model adaptable to changing conditions without requiring complete recalculations from scratch.
2Measurement precision
If detailed modeling of variable properties is performed, then modeling accuracy improves, but computational complexity increases
Solution Approach 1:
The model tracks specific key parameters (fluid density, viscosity, temperature, pressure) that significantly impact fluid transfer behavior. By focusing on these critical parameters rather than all possible variables, the model achieves high accuracy for the most important aspects of fluid transfer while keeping the computational complexity manageable.
Solution Approach 2:
The model incorporates feedback mechanisms where actual properties measured during the displacement operation are compared against expected properties from the model. This feedback loop allows the system to automatically adjust and refine its predictions, improving accuracy without requiring overly complex initial modeling assumptions.
3Adaptability or versatility
If fluid transfer plans are frequently adjusted for dynamic changes, then operational effectiveness improves, but planning time increases
Solution Approach 1:
The system performs preliminary calculations and establishes initial fluid transfer plans before the displacement operation begins. By pre-calculating expected fluid properties and container assignments based on initial wellbore conditions, the system prepares a ready-to-execute plan that can be quickly adjusted if needed, reducing on-the-fly planning time.
Solution Approach 2:
The fluid transfer plan is designed as a dynamic structure that can be efficiently updated in response to changing wellbore servicing system properties. When actual properties diverge from expected values, the system automatically adjusts container assignments and transfer parameters, enabling frequent adaptations without requiring time-consuming replanning from scratch.
Data Source
AI summary
Methods and systems for modeling the efficiency of fluid transfer between a wellbore and containers during a displacement operation. In one embodiment, the methods and systems may include providing a fluid transfer model based on constraints determined from data obtained from a wellbore servicing system, wherein the fluid transfer model comprises expected properties of the wellbore servicing system at one or more intervals during a fluid displacement operation, selecting containers for transferring a wellbore servicing fluid to a wellbore based on the expected properties, selecting containers for transferring a return fluid from the wellbore based on the expected properties, determining actual properties of the wellbore servicing system from data obtained from the wellbore servicing system, comparing the expected properties and the actual properties, and if the expected properties are different from the actual properties, modifying at least one of the expected properties of the wellbore servicing system.