Retrieving drill bit seismic signals using surface seismometers

Wang, Linfei; Liu, Huaishan; Tong, Siyou; Yin, Yanxin; Xing, Lei; Zou, Zhen; Xu, Xiugang

doi:10.1007/s12583-015-0568-1

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…Processing sequences for drill‐bit signal enhancement vary from study to study, but most of them include frequency filtering, FX median filtering (Goertz et al., 2021), FK rig noise removal (Wang et al., 2015) and deconvolution (Asgharzadeh et al., 2019; Bakulin et al., 2020; Houbiers et al., 2020; Poletto & Miranda, 2004; Poletto et al., 2014). In a marine environment, hydrophone and vertical component geophone (PZ) summation is used to separate the up‐ and down‐going wavefields (Houbiers et al., 2020; Poletto et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Unlike vibroseis correlation, the resulting signal does not represent the actual travel times, but a relative travel time of the drill‐bit energy recorded at the pilot and the receivers. Other drill‐bit signal retrieval methods are deconvolution (Aldawood et al., 2021; Aldawood et al., 2021; Haldorsen et al., 1995; Poletto et al., 2020), cross‐coherence (Wang et al., 2015) or Roth correlation (Sun et al., 2016). Deconvolution is generally considered an essential processing step to remove the anticausal pilot cross‐correlation effects (Poletto & Miranda, 2004; Poletto et al., 2014; Rector & Marion, 1991).…”

Section: Introductionmentioning

confidence: 99%

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Drill‐bit position monitoring using seismic‐while‐drilling data; numerical and field examples from Sweden

Wilczynski

Kaslilar

Ivandic

et al. 2023

Geophysical Prospecting

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The undesired drill‐bit deviation is a source of drilling risks and requires monitoring. Seismic‐while‐drilling is one potential method to achieve this and has been tested in a number of previous studies. In August 2020 in Örebro, Sweden, we conducted an experiment to test the feasibility of seismic‐while‐drilling drill‐bit positioning and other applications of the method. We used the hammer drill‐bit signal generated while drilling a 200 m deep well in hardrock conditions and implemented vertical stacking of the subsequent impulsive signals from the hammer source, generating enhanced direct arrivals from the drill‐bit. Then, we used the relative arrival times to estimate the drill‐bit position for selected bit depths, confirming our methodology with two numerical studies. We successfully estimated the position of the drill‐bit for the numerical examples and for several of the real data examples, with the accuracy dependent on the receiver array geometry and the quality of the data. We conclude that this drill‐bit positioning method shows potential for near‐real‐time monitoring in drilling operations that could be applicable for both impulsive and noise‐retrieved drill‐bit signals.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Drill‐bit position monitoring using seismic‐while‐drilling data; numerical and field examples from Sweden

Wilczynski

Kaslilar

Ivandic

et al. 2023

Geophysical Prospecting

View full text Add to dashboard Cite

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Proglacial Lakes in High Mountain Environments

Otto

2018

Geography of the Physical Environment

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Glacial Lake Outburst Flood Disasters and Integrated Risk Management in China

Wang

Zhou

2017

Int J Disaster Risk Sci

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High-risk areas for glacial lake outburst flood (GLOF) disasters in China are mainly concentrated in the middle-eastern Himalayas and Nyainqêntanglha (Nyenchen Tanglha Mountains), Tibetan Plateau. In the past 20 years, glaciers in these regions have retreated and thinned rapidly as a response to regional climate warming, leading to the formation of new glacial lakes and the expansion of existing glacial lakes. These areas are located in the border belt between the Indian and the Eurasian plates, where tectonic seismic activity is also frequent and intense. Earthquakes have often compromised the stability of mountain slopes, glaciers, and moraine dams, resulting in an imbalance in the state of glacial lakes and an increase of loose materials in valleys. It is foreseeable that the possibility of GLOFs and disaster occurrence will be great in the context of frequent earthquakes and continued climate warming. This article presents the temporal and spatial characteristics of GLOF disasters, as well as the conditions and mechanisms of GLOF disaster formation, and proposes an integrated risk management strategy to cope with GLOF disasters. It aims to facilitate the mitigation of the impacts of GLOF disasters on mountain economic and social systems, and improve disaster risk analysis, as well as the capability of risk management and disaster prevention and reduction.

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Retrieving drill bit seismic signals using surface seismometers

Cited by 8 publications

References 14 publications

Drill‐bit position monitoring using seismic‐while‐drilling data; numerical and field examples from Sweden

Drill‐bit position monitoring using seismic‐while‐drilling data; numerical and field examples from Sweden

Proglacial Lakes in High Mountain Environments

Glacial Lake Outburst Flood Disasters and Integrated Risk Management in China

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