Downhole Mud Property Estimation via Mathematical Dynamics Model
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The oil and gas industry faces challenges in obtaining accurate and timely measurements of drilling mud properties, such as density and viscosity, due to the lack of sensors close to the drill bit, resulting in delayed and potentially inaccurate data.
Innovation Solution
The implementation of a system that uses real-time data and mathematical models to estimate downhole drilling mud properties, incorporating a mathematical dynamics model, measurement fusion mechanism, and uncertainty mechanism to manage uncertainties and provide optimal estimation with low uncertainties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are placed close to the drill bit to obtain real-time downhole measurements, then measurement accuracy and timeliness improve, but device complexity and cost increase
Solution Approach 1:
The patent introduces a mathematical dynamics model as an intermediary between surface measurements and downhole conditions. The model uses measured surface parameters (pressure, temperature, flow rate) and applies fluid dynamics equations to estimate downhole mud properties, avoiding the need for physical sensors at the drill bit while still providing accurate downhole measurements
Solution Approach 2:
Instead of placing physical sensors downhole, the system creates a virtual copy of the downhole measurement environment through mathematical modeling. The dynamics model replicates the physical conditions and fluid behavior downhole, allowing surface measurements to be transformed into accurate downhole property estimates without physical presence
2Device complexity
If mathematical models are used to estimate downhole properties from surface measurements, then device complexity is reduced, but measurement precision and reliability may deteriorate due to model uncertainties
Solution Approach 1:
The system implements a feedback mechanism where surface measurements continuously inform and adjust the mathematical dynamics model. The model uses real-time surface data (pressure, temperature, flow rate) to continuously update downhole property estimates, creating a closed-loop system that maintains accuracy despite the indirect measurement approach
Solution Approach 2:
The patent transforms the measurement problem by changing parameters from direct downhole physical measurements to surface-based indirect measurements combined with mathematical transformation. The system measures easily obtainable surface parameters and uses fluid dynamics relationships to derive downhole properties, changing the measurement paradigm from direct to indirect while maintaining precision through rigorous mathematical modeling
3Device complexity
If traditional surface-only measurements are used, then device complexity remains low, but loss of information occurs because surface fluid properties differ from downhole properties
Solution Approach 1:
The patent replaces the mechanical/physical measurement system with a mathematical modeling system. Instead of using physical sensors to directly detect downhole properties, the system uses mathematical dynamics models and fluid mechanics equations to calculate downhole properties from surface measurements, substituting physical measurement with computational analysis
Data Source
AI summary
In some embodiments, a method includes operating a mud circulation system having drilling mud flowing therethrough and performing a plurality of measurements from a plurality of sensors coupled to the mud circulation system. The method includes modeling, in real-time, drilling mud flow dynamics using a mathematical dynamics model and predicting physical states of the drilling mud with the mathematical dynamics model. Further, the method described herein includes inputting the measurements into the mathematical dynamics model and adapting the mathematical dynamics model based, at least in part, on discrepancies between the model physical state predictions and the measurements. The method further includes changing an operational parameter of the mud circulation system based on at least one value derived from the adapted mathematics dynamics model.