Sequential Estimation Drilling Medium Property
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Solution Overview
Problem
Conventional drilling operations face challenges in characterizing medium properties, such as pore pressures, ahead of the drill bit due to limitations in pre-drilling measurements, which can lead to uncertainties and increased costs, especially in heterogeneous media like depleted reservoirs.
Innovation Solution
A drilling system and method utilizing a drill bit with sources and receivers on the drill string to emit and detect signals, enabling sequential Bayesian estimation of medium properties ahead of the drill bit, refining estimates iteratively as the drill advances, incorporating data from both ahead and behind the bit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-drilling measurements are used to characterize medium properties, then surveying operations can be conducted before drilling, but measurement precision and reliability of medium property estimates deteriorate due to limitations in surface-based measurements and uncertainties in heterogeneous media
Solution Approach 1:
The system performs preliminary characterization of medium properties by emitting signals from sources on the drill string and detecting response signals with receivers before the drill bit reaches measurement locations. This allows medium property estimation to be conducted in advance of actual drilling at those specific points, enabling proactive identification of heterogeneous media characteristics.
Solution Approach 2:
The patent introduces signal sources and receivers as intermediary devices positioned on the drill string to mediate between the drill bit and the medium. These intermediaries emit signals into the medium and detect response signals, providing indirect measurement of medium properties ahead of the drill bit without requiring direct contact or surface-based remote sensing.
2Measurement precision
If sequential Bayesian estimation is implemented with iterative updates, then measurement precision of medium properties improves through refined estimates, but device complexity increases due to multiple sources, receivers, and processing requirements
Solution Approach 1:
The drill string is designed with multi-functionality, serving both as the drilling mechanism and as the platform for signal emission and detection. The same drill string structure that performs mechanical drilling also carries the sources and receivers, eliminating the need for separate specialized equipment and reducing overall system complexity despite the advanced estimation capabilities.
Solution Approach 2:
The system implements feedback through iterative Bayesian estimation where response signals detected by receivers are used to update and refine estimates of medium properties. These refined estimates then inform subsequent signal emission and detection operations, creating a closed-loop system that continuously improves measurement precision through adaptive learning from accumulated data.
3Loss of information
If signals are emitted from sources on the drill string behind the bit to detect medium properties ahead of the bit, then measurement capability ahead of the drill bit is achieved, but device complexity increases due to positioning and coordination requirements
Solution Approach 1:
The sources and receivers are nested within the drill string structure, with signal emission and detection capabilities embedded inside the existing drilling apparatus. This nesting allows the complex functionality of signal processing to be contained within the familiar drill string architecture, reducing the apparent complexity of the overall system while enabling advanced measurement capabilities ahead of the drill bit.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides real-time, refined estimates of medium properties with reduced uncertainty, improving risk assessment and in-situ sensing, and is applicable to various drilling operations and geological surveying applications.
Implementation Method 1
one or more sources positioned on the drill string behind the drill bit and configured to emit a signal into a medium and generate a response signal from one or more positions within the medium ahead of the drill bit, one or more receivers positioned on the drill string behind the drill bit and configured to detect the response signal
Data Source
AI summary
Drilling systems and related methods are disclosed. A drilling system may include a drill bit positioned at an end of a drill string, and one or more sources and receivers positioned on the drill string behind the drill bit. The sources may be configured to emit signals into a medium surrounding a borehole in which the drill string extends, and the signals may cause a response in the medium at one or more predetermined positions ahead of the drill bit, and response signals may be measured by the one or more receivers. A processor may use the measured response signals to iteratively update an estimate of a property of the medium at the predetermined position, which in some embodiments, may be done using a sequential estimation process, as the drill string is advanced into the medium.