18058939. BOREHOLE ACQUISITION OPERATION INTERVAL VIA STONELEY WAVE simplified abstract (Schlumberger Technology Corporation)
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
Schlumberger Technology Corporation
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 patent application describes a method that involves using Stoneley wave data acquired by a sonic tool in a borehole to generate formation and borehole information for identifying an interval along the borehole for a downhole acquisition operation using a machine learning model.
- Receiving Stoneley wave data acquired by a sonic tool in a borehole
- Performing an inversion to generate formation and borehole information
- Identifying an interval along the borehole for a downhole acquisition operation using a machine learning model and the generated information as input
Potential Applications
This technology could be applied in various industries such as oil and gas exploration, geothermal energy production, and underground mining for optimizing downhole acquisition operations.
Problems Solved
This technology helps in accurately identifying intervals along the borehole for downhole acquisition operations, leading to improved efficiency and productivity in subsurface operations.
Benefits
The use of machine learning models with formation and borehole information enhances the accuracy and precision of downhole acquisition operations, reducing costs and minimizing risks associated with subsurface activities.
Potential Commercial Applications
One potential commercial application of this technology could be in the oil and gas industry for optimizing well logging and reservoir characterization processes.
Possible Prior Art
Prior art in this field may include traditional methods of well logging and borehole data interpretation, which may not utilize machine learning models for identifying intervals along the borehole for downhole acquisition operations.
Unanswered Questions
How does this technology compare to existing methods of downhole acquisition operations in terms of accuracy and efficiency?
This article does not provide a direct comparison with existing methods in terms of accuracy and efficiency.
What are the potential limitations or challenges of implementing this technology in real-world borehole operations?
The article does not address potential limitations or challenges that may arise in implementing this technology in real-world borehole operations.
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.
