Cgg Services Sas

Sercel Inc.

Baker Hughes, a Ge Compnay, LLC

Thomas Bardainne

Philippe Roux

Baptiste Rondeleux

Malgorzata Chmiel

The invention relates to a method for monitoring the physical state of a longitudinal element (IO) of a railway-type rail, the method having a step of detecting mechanical waves moving along the longitudinal element (IO), in particular due to the passing of a train, by means of an array of mechanical wave sensors placed along and in contact with the longitudinal element, the array having at least one first pair (A) of sensors each positioned at one end of a first portion (IOa) of the longitudinal element (IO), and a step of processing the signals emitted by the sensors in the array of sensors, the processing step having the determination of at least one first interfered signal determined from signals provided by the sensors in the first pair (A) of sensors over a first predetermined period of time.

Method for monitoring the physical state of a rail

In order to monitor the subsoil of the earth under a target zone, seismic waves coming from an identified mobile noise source are recorded by means of at least one pair of sensors disposed on either side of the target zone, time periods are selected corresponding to the alignments of the pairs of sensors with the noise source, a seismogram of the target zone is reconstructed by interferometry based on the recorded seismic waves and on the selected time periods and an image of the subsoil of the target zone is generated using the seismogram.

Method and device for monitoring the subsoil of the earth under a target zone

The present disclosure includes a method including determining a spatial region for analysis and selecting a segment of time for analysis, analyzing and correcting a plurality of traces from a plurality of receivers using an iterative non-linear inversion algorithm, wherein each iteration of the non-linear algorithm corrects the plurality of traces using at least one set of parameters defining a microseismic event, determining whether a final stack value of the plurality of traces corrected based on the at least one set of parameters of a final iteration of the iterative non-linear inversion algorithm exceeds a predetermined threshold and upon a determination that the final stack value exceeds the predetermined threshold, detecting a microseismic event defined by the at least one set of parameters of final iteration. The present disclosure also includes associated systems and computer-readable media.

Methods and systems of detecting a microseismic event using an iterative non-linear inversion algorithm

A moment tensor is determined using an inversion algorithm for each of a plurality of microseismic events passively detected by receivers. Each of the moment tensors includes two nodal planes. A subset of the microseismic events is grouped into a family of microseismic events. If the microseismic events in the family have a common nodal plane, the common plane is a solution fault plane for the family of microseismic events. Information related to the fault plane is used to optimize fracking operation.

Methods and systems of determining a fault plane of a microseismic event

An embodiment of a method includes receiving seismic data from an array of seismic receivers, selecting a time window, and dividing the time window into a plurality of consecutive time segments, each corresponding to a subset of the seismic data. The method also includes performing a transformation of each subset into a frequency domain subset having a total frequency band, and selecting a narrow frequency band bounded by the lowest frequency of the total band and a threshold frequency. The method further includes, for each of the plurality of frequencies in the narrow frequency band, determining a cross-spectral density matrix (CSDM) of data values in each frequency domain subset, decomposing the CSDM to generate a plurality of eigenvalues, and removing at least the most significant eigenvalue from each frequency domain subset. The method still further includes transforming each frequency domain subset into a time domain to generate de-noised seismic data.

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Paris, France

Thomas Bardainne