An Approach for Modeling the Field Drilling Data

1996 ◽  
Author(s):  
Hong Xu ◽  
Tetsuro Tochikawa ◽  
Takashi Hatakeyama ◽  
Hitoshi Ota
Keyword(s):  
Drilling Data

scholarly journals Prediction of reservoir depletion degree and production GOR using logging-while-drilling data

2009 ◽  
Vol 36 (5) ◽  
pp. 617-622 ◽  
Author(s):  
Li Fangming ◽  
Tian Zhongyuan ◽  
Jiang Aming ◽  
Wang Xiaoxia
Keyword(s):  
Drilling Data ◽  
Logging While Drilling

Processing of Seismic-While-Drilling Data from the DrillCAM System Acquired with Wireless Geophones, Top-Drive, and Downhole Vibrations Sensors

2021 ◽  
Author(s):  
Ilya Silvestrov ◽  
Emad Hemyari ◽  
Andrey Bakulin ◽  
Yi Luo ◽  
Ali Aldawood ◽  
...  
Keyword(s):  
Data Driven ◽  
Acceleration Sensor ◽  
Pilot Signal ◽  
Alignment Procedure ◽  
General Flow ◽  
Time Alignment ◽  
Vibration Sensors ◽  
Drilling Data ◽  
Final Data ◽  
Time Drift

Abstract We present processing details of seismic-while-drilling data recently acquired on one of the onshore wells by a prototype DrillCAM system with wireless geophones, top-drive, and downhole vibration sensors. The general flow follows an established practice and consists of correlation with a drillbit pilot signal, vertical stacking, and pilot deconvolution. This work's novelty is the usage of the memory-based near-bit sensor with a significant time drift reaching 30-40 minutes at the end of each drilling run. A data-driven automatic time alignment procedure is developed to accurately eliminate time drift error by utilizing the top-drive acceleration sensor as a reference. After the alignment, the processing flow can utilize the top-drive or the near-bit pilots similarly. We show each processing step's effect on the final data quality and discuss some implementation details.

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