Review of the Application of Wavelet Analysis in the Petroleum Industry

Guan, L.; Du, Yuchuan

doi:10.2118/2004-190

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…Wavelet transform method was developed and widely adopted and used in signal processing to overcome limitation of Fourier transform in time domain (Bultheel 2003). Although Fourier and its revised fast Fourier transforms are powerful mathematical tool, they are not very good at detecting rapid changes in signals such as seismic data and well test data in petroleum industry containing many structure of different scales (Multi-scale structures) (Guan et al 2004). Fourier coefficients do not provide direct information about the signal local behavior (localization); but the average strength of that frequency in the full signal as the sine or cosine function keeps undulating to infinity.…”

Section: Wavelet Transformmentioning

confidence: 99%

A review of mud pulse telemetry signal impairments modeling and suppression methods

Mwachaka

2018

J Petrol Explor Prod Technol

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Exploration and drilling operations are the most costly and risky activities that require logging while drilling effective tool operation and high speed real-time data transmission. Among other logging technologies, mud pulse telemetry has been widely adopted into real-time drilling and logging data measurements for deep formation evaluation decision-making. However, the increased downhole information quantity and quality requirements have elevated demands for greater bandwidth and higher data rate transmission. Maximum possible mud pulse telemetry data rates are obstructed by unpredictable signal impairments. Researchers have implemented numerous downhole signal modulation techniques, data compression algorithms and surface receiver noise cancellation techniques to lower bit errors and increase signal-to-noise ratio. This study reviews mud pulse telemetry system signal transmission challenges and current countermeasure trends. Rigorous technical literature reviews from exploration and drilling oilfield service industry have been at the receiving end debated. Mud channel signal characteristics, signal attenuation factors, signal detection and decoding techniques are critical to successful mud pulse operations. To minimize exploration, drilling and economic risks, this study explores mud pulse data transmission challenges, strategies and possible technical solutions to the next generation engineers and scholars in the field.

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Section: Wavelet Transformmentioning

confidence: 99%

A review of mud pulse telemetry signal impairments modeling and suppression methods

Mwachaka

2018

J Petrol Explor Prod Technol

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“…Wavelet analysis has been widely used gross error detection, as it can do multi-scale analysis and present the local characteristics of signals in both time and frequency domains [8][9][10][11]. Related methods are also proposed, including wavelet modular maximum denoising method, denoising method based on wavelet transform scale correlation, wavelet shrinkage denoising method and translation invariant wavelet denoising method [12].The wavelet shrinkage method has got great attention due to its strong adaptability.…”

Section: Introductionmentioning

confidence: 99%

A Shifted Double Wavelet Iteration Algorithm for Detecting the Gross Errors in Shipborne Gravity

Wang¹,

Fan²,

Deng³

et al. 2023

J. Phys.: Conf. Ser.

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Detecting the discrete gross error and regional gross error in shipborne gravity is a key step for improving the measurement quality. The traditional wavelet threshold shrinkage (WTS) method misidentifies discrete gross errors and cannot detect regional gross errors. Here we propose a shifted double wavelet iteration (SDWI) method. This method decomposes the measurement sequence by shifted double wavelet to obtain wavelet coefficients, and then apply threshold processing to the obtained coefficients to accurately detect gross errors. After that, we reconstruct the identified gross errors, and perform iterative processing to the regional gross errors. Finally, the difference of the gravity before and after gross error detection is used for gross error positioning. In the simulation experiment, we use the proposed SDWI method to detect the discrete gross error, the regional gross error and discrete-region gross error in the shipborne gravity, separately. The results show that the detection success rate is 100% and failure rate is 0 for all three kinds of gross errors, better than that of the traditional WTS method. The real data experiment also confirms that the proposed method is effective in detecting gross errors.

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“…Известно множество способов сжатия каротажных данных. Часть из них состоит в аппроксимации сигналов базисными функциями , применении вейвлет-преобразования и нейронных сетей [Bernasconi et al, 1999;Guan, Du, 2004;Булаев, Мунасыпов, 2008]. Используются также оконное преобразование Фурье и дискретное косинус-преобразование .…”

Section: Introductionunclassified

Methods of transient em data compression

Никитенко

Mosin²

2022

Russian Journal of geophysical technologies

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A transient electromagnetic signal is recorded in an earth formation while drilling at multiple times. Data for subsequent interpretation is transmitted via a hydrochannel with a narrow bandwidth, for that reason the amount of transmitted information is limited. Therefore, data compression is an indispensable element of processing. It is important to determine what parameters and how many of them are necessary to describe the measured EMF curve. The idea is to transfer to the surface only significant parameters allowing to restore the recorded curve with a given accuracy. The paper proposes simple and fast data compression methods based on the spline approximation of the signal. Also, an orthogonal basis in the measurement space is used to describe each signal by a linear combination of vectors from this basis. We analyze transient curves and consider various magnetic field components. Numerical experiments show how many parameters are required to describe and reconstruct the signal of a deep-reading electromagnetic tool.

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Review of the Application of Wavelet Analysis in the Petroleum Industry

Cited by 4 publications

References 11 publications

A review of mud pulse telemetry signal impairments modeling and suppression methods

A review of mud pulse telemetry signal impairments modeling and suppression methods

A Shifted Double Wavelet Iteration Algorithm for Detecting the Gross Errors in Shipborne Gravity

Methods of transient em data compression

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