Drill-rig noise suppression using the Karhunen-Loéve transform for seismic-while-drilling experiment at Brukunga, South Australia

Sun, Baichun; Bóna, Andrej; Zhou, Binzhong; King, Andrew; Dupuis, Christian; Kepic, Anton

doi:10.1071/eg14086

Cited by 4 publications

(9 citation statements)

References 16 publications

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“…We applied another deconvolution to enhance the event signal, singular value decomposition filtering (SVD), trace balancing and FX deconvolution to reduce the remaining random noise. SVD filtering was suggested by Sun et al (2016) as a suitable procedure to eliminate the rig noise. As we are interested in relatively small picked traveltime differences, we resampled the data from 1 to 0.25 ms using quadratic interpolation to allow a higher snap-to-peak quality.…”

Section: Drill-bit Data Processingmentioning

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: Drill-bit Data Processingmentioning

confidence: 99%

“…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). Sun et al (2016) suggested that singular value decomposition filtering is more efficient in removing the rig noise than FK filtering.…”

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

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“…DB-SWD can obtain the overburden velocity and time-depth information used to the prediction of reflection and structures ahead of the drill bit. Using the DB-SWD technology can overcome the drilling problems, such as sticking and loss of drill strings, and improve drilling safety and efficiency [164]; the velocity information can be used to calibrate surface seismic imaging [165]. Compared with the conventional VSP and VSP while drilling (VSP-WD) as shown in Table 8, DB-SWD does not require additional downhole explosives or air gun seismic sources.…”

Section: The Source Of Seismic Whilementioning

confidence: 99%

“…The SIT was proposed to overcome the limitations of DB-SWD with PDC bits in lined wells and in soft formations. The signal date volume and a large receiver array can improve the SNR [164,[174][175][176][177]. Another approach is that the seismic signal processing is based on interferometry by deconvolution; the advantage of this method is that it does not need to know drill bits wavelet.…”

Section: The Source Of Seismic Whilementioning

confidence: 99%

A Review of the Evaluation, Control, and Application Technologies for Drill String Vibrations and Shocks in Oil and Gas Well

Dong

Chen

2016

Shock and Vibration

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Drill string vibrations and shocks (V&S) can limit the optimization of drilling performance, which is a key problem for trajectory optimizing, wellbore design, increasing drill tools life, rate of penetration, and intelligent drilling. The directional wells and other special trajectory drilling technologies are often used in deep water, deep well, hard rock, and brittle shale formations. In drilling these complex wells, the cost caused by V&S increases. According to past theories, indoor experiments, and field studies, the relations among ten kinds of V&S, which contain basic forms, response frequency, and amplitude, are summarized and discussed. Two evaluation methods are compared systematically, such as theoretical and measurement methods. Typical vibration measurement tools are investigated and discussed. The control technologies for drill string V&S are divided into passive control, active control, and semiactive control. Key methods for and critical equipment of three control types are compared. Based on the past development, a controlling program of drill string V&S is devised. Application technologies of the drill string V&S are discussed, such as improving the rate of penetration, controlling borehole trajectory, finding source of seismic while drilling, and reducing the friction of drill string. Related discussions and recommendations for evaluating, controlling, and applying the drill string V&S are made.

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“…The SWD technique can also assist in confirming or configuring basin and reservoir models and provide the ability to predict pore pressure ahead of the bit. Using the SWD technology can overcome the drilling problems, such as sticking and loss of drill strings, and improve drilling safety and efficiency (Sun et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Subsurface seismic imaging with a hammer drilling source at an exploration drilling test center in Örebro, Sweden

2022

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Abstract. Seismic imaging while drilling (SWD) technology offers possibilities of imaging ahead of the drill-bit, which could be useful for determining when to go from hammer drilling to core drilling. Also, seismic images of the surrounding rock can improve geological models which could be then used to guide drilling programs. An SWD field test was carried out in August 2020 at an exploration drilling test site in Örebro, Sweden, with the aim to determine if the signals from hammer drilling can be used for seismic imaging around the drill-bit in a hard-rock environment where the strong drill-rig noise interference is one of the main challenges. The test site had previously been investigated with various geophysical methods, geological mapping and diamond core drilling, and it therefore represented an ideal location to perform this feasibility study. After data pre-processing and cross-correlation with the trace from the geophone closest to the rig, the shot-gathers were vertically stacked over the length of a drill pipe to achieve further signal improvement. A comparison with the active seismic data shows reasonable agreement, in spite of the fact that the noise level is significant even after careful processing. However, the lack of clear reflections in the active seismic data, indicating no detectable changes in the bedrock lithology in the near surface, hinders the full assessment of the seismic signal generated with hammer drilling at this site.

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Drill-rig noise suppression using the Karhunen-Loéve transform for seismic-while-drilling experiment at Brukunga, South Australia

Cited by 4 publications

References 16 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

A Review of the Evaluation, Control, and Application Technologies for Drill String Vibrations and Shocks in Oil and Gas Well

Subsurface seismic imaging with a hammer drilling source at an exploration drilling test center in Örebro, Sweden

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