Javascript must be enabled to continue!
Receiver Balancing In Off-Centered Acoustic Logging Data
View through CrossRef
Abstract
Modern multi-pole acoustic logging tools require addition and subtraction of signals from different combinations of receivers. To enable the correct subtraction and addition of acquired signals it is essential that the receivers are well balanced. However, correctly balanced receivers may change their properties as the acoustic tool is lowered into a borehole and experiences vastly different pressures and temperatures. By using the properties of the Stoneley wave, it is possible to create a balancing scheme such that subtraction and addition of waveform data can be performed as if the receivers were perfectly balanced.
Introduction
Modern multi-pole acoustic logging tools have the ability to generate and detect different acoustic wave modes propagating along the borehole and in the formation. A requirement to accomplish this is the summation and subtraction of the acoustic signals detected at receivers distributed around the circumference of the tool. For example, in the WaveSonic? tool, there are four receivers located at the four orthogonal positions around the circumference of the tool, at 8 different distances from the source position, resulting in a receiver array consisting of 32 receivers. A schematic layout of the tool is shown in Figure 1.
A monopole (or compressional or P) wave measurement is performed by firing the monopole wave transmitter, and summing the received waveforms at the four receiver positions around the tool (A, B, C, D). A dipole (or flexural) wave measurement is performed by firing the dipole (or displacement) source in one of the two orthogonal directions (X or Y), and subtracting the observed waveforms from the receivers on opposite side of the tool (e.g. A-C, B-D). A crossed dipole measurement is performed by firing both X and Y dipole sources in succession, and subtracting the observed waveforms. Higher order modes such as the quadrupole mode can be generated in a similar manner.
Figure 1. Schematic layout of a wireline acoustic tool (Available in full paper) radiation pattern, and other factors, a mixture of monopole, dipole, and higher order modes are commonly generated in the borehole. We rely on the addition and subtraction of the waveforms measured at the various receivers to isolate the different wave modes for proper analysis. For example, improper subtraction of the receivers may result in the (monopole) Stoneley wave, being mixed with the (dipole) flexural mode, thus contaminating the shear wave measurement from the dipole. Thus the balancing of the receivers is an important issue in the processing of modern multi-pole acoustic tools.
In this paper we describe a procedure that can correct for the receiver imbalance of the measured waveforms. In order to better understand the effect of receiver imbalance on full waveform acoustic logging data, we simulated a number of examples of receiver miss-match using the algorithm of Byun and Toksöz (2003).
Synthetic Examples of Imbalanced Receivers
Figure 2, 3, 4, and 5 show the slowness-time semblances and the high-resolution dispersion estimates (Araya et al., 2003) for synthetic monopole and dipole data in a "slow" formation.
Title: Receiver Balancing In Off-Centered Acoustic Logging Data
Description:
Abstract
Modern multi-pole acoustic logging tools require addition and subtraction of signals from different combinations of receivers.
To enable the correct subtraction and addition of acquired signals it is essential that the receivers are well balanced.
However, correctly balanced receivers may change their properties as the acoustic tool is lowered into a borehole and experiences vastly different pressures and temperatures.
By using the properties of the Stoneley wave, it is possible to create a balancing scheme such that subtraction and addition of waveform data can be performed as if the receivers were perfectly balanced.
Introduction
Modern multi-pole acoustic logging tools have the ability to generate and detect different acoustic wave modes propagating along the borehole and in the formation.
A requirement to accomplish this is the summation and subtraction of the acoustic signals detected at receivers distributed around the circumference of the tool.
For example, in the WaveSonic? tool, there are four receivers located at the four orthogonal positions around the circumference of the tool, at 8 different distances from the source position, resulting in a receiver array consisting of 32 receivers.
A schematic layout of the tool is shown in Figure 1.
A monopole (or compressional or P) wave measurement is performed by firing the monopole wave transmitter, and summing the received waveforms at the four receiver positions around the tool (A, B, C, D).
A dipole (or flexural) wave measurement is performed by firing the dipole (or displacement) source in one of the two orthogonal directions (X or Y), and subtracting the observed waveforms from the receivers on opposite side of the tool (e.
g.
A-C, B-D).
A crossed dipole measurement is performed by firing both X and Y dipole sources in succession, and subtracting the observed waveforms.
Higher order modes such as the quadrupole mode can be generated in a similar manner.
Figure 1.
Schematic layout of a wireline acoustic tool (Available in full paper) radiation pattern, and other factors, a mixture of monopole, dipole, and higher order modes are commonly generated in the borehole.
We rely on the addition and subtraction of the waveforms measured at the various receivers to isolate the different wave modes for proper analysis.
For example, improper subtraction of the receivers may result in the (monopole) Stoneley wave, being mixed with the (dipole) flexural mode, thus contaminating the shear wave measurement from the dipole.
Thus the balancing of the receivers is an important issue in the processing of modern multi-pole acoustic tools.
In this paper we describe a procedure that can correct for the receiver imbalance of the measured waveforms.
In order to better understand the effect of receiver imbalance on full waveform acoustic logging data, we simulated a number of examples of receiver miss-match using the algorithm of Byun and Toksöz (2003).
Synthetic Examples of Imbalanced Receivers
Figure 2, 3, 4, and 5 show the slowness-time semblances and the high-resolution dispersion estimates (Araya et al.
, 2003) for synthetic monopole and dipole data in a "slow" formation.
Related Results
The Application of Multistage Geometric Analysis Method in Natural Fracture Identification
The Application of Multistage Geometric Analysis Method in Natural Fracture Identification
Abstract
Imaging logging can intuitively recognize fractures around borehole walls. However, expensive cost of imaging logging limits its popularization, so littl...
A Well Cementation Evaluation Method by the Azimuthal Gamma Combination With the Acoustic Logging in Horizontal Well
A Well Cementation Evaluation Method by the Azimuthal Gamma Combination With the Acoustic Logging in Horizontal Well
Horizontal well technology has been widely used in the exploration and development of unconventional oil and gas reservoirs to increase the exposed area of oil and gas reservoirs, ...
Sourceless LWD Borehole Acoustics: Field Testing the Concept
Sourceless LWD Borehole Acoustics: Field Testing the Concept
Seismic compressional and shear velocities are uniquely sensitive to the elasticity of the Earth and are used to estimate many properties of interest in oil exploration, reservoir ...
Image Restoration of Electrical Well Logging Based on Fourier Convolution
Image Restoration of Electrical Well Logging Based on Fourier Convolution
Imaging logging is an important technical means in logging evaluation of complex reservoirs. Through imaging logging, a two-dimensional image of the resistivity distribution around...
Research on the normalisation method of logging curves: taking XJ Oilfield as an example
Research on the normalisation method of logging curves: taking XJ Oilfield as an example
Abstract
During the long-term exploration and development of the oilfield, it is difficult to ensure that all well logging curves are measured by the same type of in...
Analysis and Application of Production Logging Data in Shale Gas Well
Analysis and Application of Production Logging Data in Shale Gas Well
Abstract
Production profile logging is an efficient method for production dynamic monitoring and post-fracture effect evaluation in shale gas plays, the method can r...
The application of digital logging in exploration of Jiang Cang coalfield in Qinghai province
The application of digital logging in exploration of Jiang Cang coalfield in Qinghai province
A lot of well logging on to Jiang Cang coalfield in the past work and achieved good results, but due to differ in age, instrumentation equipment and method were different. In order...
Comparison and research of multidimensional analysis for array acoustic logging in fractured formations
Comparison and research of multidimensional analysis for array acoustic logging in fractured formations
Currently, array acoustic logging data processing is mainly achieved by calculating only the velocity variation of each component wave. This provides a little formation information...

