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Journal ArticleDOI

Automatic algorithm for triaxial hodogram source location in downhole acoustic emission measurement

K. Nagano, +2 more
- 01 Apr 1989 - 
- Vol. 54, Iss: 4, pp 508-513
TLDR
In this paper, an automatic acoustic emission (AE) source location algorithm has been developed for downhole AE measurement of subsurface cracks by using the triaxial hodogram method.
Abstract
An automatic acoustic emission (AE) source location algorithm has been developed for downhole AE measurement of subsurface cracks by using the triaxial hodogram method. The P-wave arrival time is detected by analyzing crosscorrelation coefficients among three components of AE signal energy; the P-wave direction is determined by the method of least squares. For detection of S-wave arrival time, a maximum‐likelihood method analyzes a distribution of instantaneous values of the SH-wave component amplitude. This algorithm can locate an AE source as accurately as human analysis. For field measurements, it takes less than 4 s to locate an AE source using a 16-bit personal computer with a program in C language. Automatic AE source location by the triaxial hodogram method has been realized with this algorithm.

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Citations
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Journal ArticleDOI

The removal of free surface interactions from three-component seismograms

TL;DR: In this article, the effect of the free surface can be removed from three-component seismic recordings to recover the incident upgoing wavefield, if the slowness and azimuth of the current wavefront are known as a function of time.
Book

The seismic wavefield

TL;DR: The Seismic Wavefield as mentioned in this paper provides a comprehensive guide to the understanding of seismograms in terms of physical propagation processes within the Earth, focusing on the observation of earthquakes and man-made sources on all scales, for both body waves and surface waves.
Journal ArticleDOI

Three-component analysis of regional seismograms

TL;DR: In this article, the authors proposed a wave-type decomposition method to estimate the propagation characteristics of different seismic phases at regional distances by testing a range of characteristics of the three-component records, and then classifying much of the seismogram in terms of wave type and direction.
Patent

Tracking objects in conduits

TL;DR: In this article, the authors described a method for tracking a pig in a pipeline using distributed acoustic sensing, which is used to obtain signal returns from a plurality of discrete longitudinal sensing portions of a fiber optic cable which is laid along the length of the conduit.
Journal ArticleDOI

Current status of seismic and borehole measurements for HDR/HWR development

TL;DR: Seismic and borehole measurements provide significant information about HDR/HWR reservoirs that is useful for reservoir development, reservoir characterization, and performance evaluation as discussed by the authors, which is the only means to obtain direct information about reservoir characteristics away from boreholes.
References
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Journal ArticleDOI

Automatic earthquake recognition and timing from single traces

TL;DR: In this article, a computer program was developed for the automatic detection and timing of earthquakes on a single seismic trace, which operates on line and is sufficiently simple that it is expected to work in inexpensive low-power microprocessors in field applications.
Journal ArticleDOI

Acoustic Emissions as a Tool for Hydraulic Fracture Location: Experience at the Fenton Hill Hot Dry Rock Site

TL;DR: In this article, microearthquakes with magnitudes between -6 and -2 have been observed in three successive massive injections of water at the hot dry rock geothermal energy development project's demonstration site at Fenton Hill, NM.
Journal ArticleDOI

Seismic anisotropy in the upper oceanic crust

TL;DR: In this paper, a set of patterns indicative of hexagonally isotropic structure with a horizontal symmetry axis were observed in borehole data obtained at DSDP site 504B on DSDP leg 92.
Journal ArticleDOI

Autoregressive Representation of Seismic P-wave Signals with an Application to the Problem of Short-Period Discriminants

TL;DR: In this article, it was shown that seismic P-wave signals can be represented by parametric models of autoregressive type, which are models having the form X(t)-a1X(t-p)-1)- apX( t-p) =Z(t) where X(p) is the digitized short-period data time series defined by the P-Wave signal, and Z(t), is a white noise series.
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