Westerngeco L.l.p.

Westerngeco Seismic Holdings Limited

Pascal Guillaume Edme

Everhard Johan Muyzert

Everhard Johan Muijzert

Julian Edward Kragh

Nicolas Goujon

David Fraser Halliday

Artem Kashubin

Qinglin Liu

Johan O A Robertsson

Claudio Bagaini

Martin N Howlid

Julian Edward (Ed) Kragh

Daniel Ronnow

Jon Magnus Soerli

David Neser

Translational data in a first direction is measured by particle motion sensors contained in an elongated housing of a sensor device provided at an earth surface. The particle motion sensors are spaced apart along a second, different direction along a longitudinal axis of the elongated housing. Rotation data around a third direction is computed based at least in part on computing a gradient of the translational data with respect to the second direction.

Computing rotation data using a gradient of translational data

Translational data acquired by at least one seismic sensor is received. Gradient sensor data acquired by at least one gradient sensor is received. Estimated translational data at a position away from at least one position of the at least one seismic sensor is computed, where the computing is based on the gradient sensor data and the translational data.

Estimating translational data

A gradient sensor device includes a support structure providing a surface, and at least three particle motion sensors coupled with and/or arranged on the support structure to measure translational data in a first direction. The particle motion sensors have an arrangement that enables calculation of a spatial gradient of the translational data in a second direction different from the first direction.

Gradient sensor device

The present application relates to a seismic sensor coupling device and method. Translational data in a first direction is measured by particle motion sensors contained in an elongated housing of a sensor device provided at an earth surface. The particle motion sensors are spaced apart along a second, different direction along a longitudinal axis of the elongated housing. Rotation data around a third direction is computed based at least in part on computing a gradient of the translational data with respect to the second direction. Coupling of the sensor to the earth and features related thereto are addressed in the present application.

Seismic sensor coupling

To store sensor devices in a sensor storage system, the sensor devices are hanged on hangers in the sensor storage system. The sensor devices are transported through stations of the sensor storage system.

Storing sensor devices

Seismic surveying techniques are described in which seismic receivers in a seismic array are used as seismic sources. These receiver-sources may be used to determine the near-surface structures of the Earth, geometric properties of the survey array, receiver locations and operations of the survey array. The receiver-sources may be driven by drive sequences to produce amplified receiver-source signals, plane waves, surface waves converging towards a point inside the seismic array, surface waves sweeping through the seismic array and/or the like. The receiver-sources may comprise geophones, hydrophones, accelerometers and/or the like. A driver may be used to drive the receiver-sources and the driver may be controlled by a processor. By encoding drive sequences, seismic data generated by the receiver-sources may be separated from seismic data generated by another seismic source in the seismic array. Similarly, seismic data can be separated by controlling the frequency of seismic signals produced by the receiver-sources.

Seismic receivers as seismic sources

A seismic sensor device includes an elongated housing for placement at least partially into an earth surface. A plurality of particle motion sensors are contained in the elongated housing to measure translational data in a first direction, where plural pairs of the particle motion sensors are spaced apart along a second, different direction along a longitudinal axis of the elongated housing. A communication interface communicates the measured translational data to a computer system configured to compute a gradient based on respective differences of the measured translational data of the corresponding plural pairs of the particle motion sensors, and compute one or more of rotation data and divergence data using the gradient.

Computing a gradient based on differences of plural pairs of particle motion sensors

Rotation data and translational data are received. A calibration operator is determined based on the rotation data and translational data, where the calibration operator is useable to relatively calibrate the rotation data and the translation of data.

Calibrating rotation data and translational data

Methods and apparatuses for land seismic survey are provided. The methods and apparatuses utilize spatial derivatives of a seismic wavefield to interpolate, regularize or extrapolate seismic data. The methods and apparatuses may considerably reduce land seismic field efforts and/or compensate data gaps.

Methods and systems for land seismic surveying

Translational data acquired by at least one translational survey sensor is received, and rotation data is received. A representation of wavefield velocity based on the translational data and the rotation data is determined.

Determining an indication of wavefield velocity

A sensor assembly having improved characteristics for use in surveying a subterranean structure includes a divergence sensor for positioning at or below a ground surface, where the divergence sensor includes a container containing a material and a pressure sensor immersed in the material. In addition, the sensor assembly includes a single-component seismic sensor that is external to the container of the divergence sensor.

Sensor assembly having a seismic sensor and a divergence sensor

Divergence data is received from a divergence sensor and seismic data is received from seismic sensors, where the divergence sensor and seismic sensors are part of a sensor assembly. A calibration term is computed based on combining the divergence data and the seismic data, where the calibration term includes a first parameter that is related to a characteristic of the sensor assembly, and a second parameter that is related to a characteristic of a near-surface subterranean medium.

Computing a calibration term based on combining divergence data and seismic data

Passive seismic data is collected from measurements of seismic sensors in respective sensor assemblies, where the passive seismic data is based on measurements collected during periods when no active seismic source was activated. Attenuation of surface noise in the passive seismic data is performed using data from divergence sensors in at least some of the sensor assemblies. The passive seismic data with surface noise attenuated is output to allow for performing an operation related to a subterranean structure using the passive seismic data with the surface noise attenuated.

Noise attenuation in passive seismic data

To perform noise attenuation for seismic surveying, a sensor assembly is deployed on a ground surface, where the sensor assembly has a seismic sensor to measure seismic waves propagated through a subterranean structure, and a divergence sensor comprising a pressure sensor to measure noise. First data is received from the seismic sensor, and second data is received from the divergence sensor. The first data and the second data are combined to attenuate noise in the first data.

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Cambridge, United Kingdom

Pascal Guillaume Edme