18058939. BOREHOLE ACQUISITION OPERATION INTERVAL VIA STONELEY WAVE simplified abstract (Saudi Arabian Oil Company)
Contents
- 1 BOREHOLE ACQUISITION OPERATION INTERVAL VIA STONELEY WAVE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 BOREHOLE ACQUISITION OPERATION INTERVAL VIA STONELEY WAVE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
BOREHOLE ACQUISITION OPERATION INTERVAL VIA STONELEY WAVE
Organization Name
Inventor(s)
Ramy Ahmed Mohamed of Al-Khobar (SA)
Aida Abdullah Abri of Dhahran (SA)
Shouxiang Mark Ma of Dhahran (SA)
BOREHOLE ACQUISITION OPERATION INTERVAL VIA STONELEY WAVE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18058939 titled 'BOREHOLE ACQUISITION OPERATION INTERVAL VIA STONELEY WAVE
Simplified Explanation
The abstract describes a method for analyzing Stoneley wave data acquired in a borehole to generate formation and borehole information, and then using this information to identify an interval along the borehole for a downhole acquisition operation by a downhole tool using a machine learning model.
- Receiving Stoneley wave data acquired by a sonic tool in a borehole
- Performing an inversion using the Stoneley wave data to generate formation and borehole information
- Identifying an interval along the borehole for a downhole acquisition operation by a downhole tool using a machine learning model and the generated information as input
Potential Applications
This technology could be applied in the oil and gas industry for reservoir characterization and well logging operations.
Problems Solved
This technology helps in accurately identifying intervals for downhole acquisition operations, leading to more efficient data collection and analysis.
Benefits
The use of machine learning models improves the accuracy and efficiency of identifying intervals for downhole operations, ultimately leading to better decision-making in the field.
Potential Commercial Applications
- "Enhancing Downhole Operations Efficiency in the Oil and Gas Industry with Machine Learning"
Possible Prior Art
There may be prior art related to using machine learning models for downhole operations in the oil and gas industry, but specific examples are not provided in this context.
Unanswered Questions
How does this technology compare to traditional methods of interval identification in boreholes?
This article does not provide a direct comparison between this technology and traditional methods of interval identification in boreholes.
What are the limitations of using machine learning models for downhole operations in boreholes?
The article does not address any potential limitations or challenges associated with using machine learning models for downhole operations in boreholes.
Original Abstract Submitted
A method can include receiving Stoneley wave data acquired by a sonic tool disposed in a borehole in a formation; performing an inversion using the Stoneley wave data to generate formation and borehole information; and identifying an interval along the borehole for performance of a downhole acquisition operation by a downhole tool using a machine learning model and the formation and borehole information as input to the machine learning model.
