Westerngeco L.l.p.

Schlumberger Technology Corporation

Other

Cloudstream Medical Imaging, Inc.

Geco-prakla Inc.

Schlumberger Technology Corporation, Geco-prakla Div.

Services Petroliers Schlumberger

Geoquest Systems B.v.

Geco Technology B.v.

Nicolae Moldoveanu

Steven Fealy

Maurice Nessim

Craig J Beasley

Sudhir Pai

Alan Strudley

David Ian Hill

Einar Otnes

Aria Abubakar

Leendert Combee

Claudio Bagaini

Massimiliano Vassallo

Hiren Maniar

Philip A F Christie

Haibin Di

John Quigley

Denes Vigh

Phil Kitchenside

Mark Egan

Surrinder Kapoor

Michael T Spradley

William T McDavid

Olav Lien

Wadii El Karkouri

Kevin J Deal

Steve Fealy

A machine-implemented method, at least one non-transitory computer-readable medium storing instructions, and a computing system are provided for attenuating noise. A computing system receives a seismic image and generates a first image using a first neural network configured to identify low-frequency ground roll in a seismic image, and a second image using a second neural network configured to identify reflections in the seismic image. A combined image is generated by combining the first image and the second image. The first neural network and the second neural network are adjusted to reduce a difference between the combined image and the seismic image using frequency constraint to guide separation of the seismic image into the first image and the second image.

Ground roll attenuation using unsupervised deep learning

The present application pertains to two-dimensional ultrasound transducers and systems, methods of making such transducers and systems, and methods for using such transducers and systems including processing of data acquired with such devices and systems.

Two-dimensional ultra sound transducers and systems

A method for processing seismic data includes receiving seismic data comprising seismic traces collected from a land-based or marine seismic array, applying a noise mitigation process to the seismic data to generate a first stack volume, identifying, using a machine-learning algorithm, one or more traces of the seismic traces as having a relatively high residual noise, after applying the noise mitigation process, in comparison to other traces of the seismic traces, mitigating noise in the one or more identified traces, and performing a wavefield reconstruction to generate a second stack volume after mitigating the noise in the one or more traces after mitigating the noise in the one or more identified traces, to interpolate a portion of the wavefield corresponding to where the one or more identified traces were located and mitigated.

Combining noise attenuation and wavefield reconstruction in seismic processing

A method may include receiving, via a processor, a first set of seismic data acquired via a Wide Azimuth (WAZ) survey. The method may also include receiving a second set of seismic data acquired via an Ocean Bottom Survey (OBS) simultaneously during a time period in which the first set of seismic data is acquired. The method may then involve processing the second set of data to obtain a velocity model of seismic waves for an area that corresponds to the WAZ survey and OBS and generating one or more seismic images of the area based on the velocity model and the first set of data.

System and method for simultaneously acquiring wide azimuth and ocean bottom node surveys

A marine seismic acquisition system includes a frame that includes a central longitudinal axis and members that define orthogonal planes that intersect along the central longitudinal axis; a data interface operatively coupled to the frame; hydrophones operatively coupled to the frame; a buoyancy engine operatively coupled to the frame where the buoyancy engine includes at least one mechanism that controls buoyancy of at least the frame, the hydrophones and the buoyancy engine; and at least one inertial motion sensor operatively coupled to the frame that generates frame orientation data, where the hydrophones, the buoyancy engine and the at least one inertial motion sensor are operatively coupled to the data interface.

Marine seismic acquisition system

Land seismic survey including providing at least two vibrators in a first group, wherein each vibrator in the first group is assigned to a respective source line, where the source lines of the first group run substantially parallel to one another; providing at least two vibrators in a second group, wherein each vibrator in the second group is assigned to a respective source line that is different than the source lines assigned to vibrators from the first group; actuating the vibrators in the first group simultaneously using different frequency bandwidth sweeps and different phase encodings; actuating the vibrators in the second group at the same time as those in the first group, and simultaneously using different frequency bandwidth sweeps and different phase encodings; and detecting the resulting seismic signals with a plurality of seismic sensors that are placed in contact with the earth and as part of a seismic spread.

Methods and systems for concurrent land vibroseis acquisition with simultaneous activation

Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight

Aircraft rescue systems and methods using predictive models

The present application pertains to methods and systems for detecting an underground archeologic structure. The method comprises transmitting P (longitudinal)-waves and S (shear)-waves into the earth. Reflected P (longitudinal)-waves and reflected S (shear)-waves are then received using one or more receivers located on the surface of the earth and one or more receivers located beneath the surface of the earth. The underground archeologic structure is identified using a differentiation between the one or more receivers located on the surface of the earth and the one or more receivers located beneath the surface of the earth.

High-resolution seismic method and system for detecting underground archeologic structures

Systems and methods for medical imaging and analysis are described. The systems and methods comprise generating raw medical image data from a medical imaging hardware device, processing the raw medical image data, generating a processed raw medical image file, transmitting the processed medical image data file and imaging data, identifying a normalization factor based on the imaging detail data, normalizing the processed medical image data file using the normalization factor, and comparing the processed medical image data file with at least one other processed medical image data file. The difference between the processed medical image file and the at least one other processed medical image file is subtracted. A graphical representation of the difference is generated and displayed.

Systems and processes for improving medical diagnoses

A long offset land seismic survey spread includes a plurality of sensors within an area thereby defining a sensor receiver patch, a plurality of long offset sensor receivers outside of the receiver patch thereby surrounding the receiver patch and defining a sensor long offset area that is fee from sensor receivers that also defines a distance separating an external border of the sensor receiver patch and the long offset sensor receivers being a minimum offset distance that is a long offset distance.

Acquisition of ultra-long offset seismic data for full waveform inversion during seismic land acquisition

A system includes an unmanned marine vessel having a hull; a multi-dimensional seismic sensor array coupled with the hull, wherein the multi-dimensional seismic sensor array is configured to acquire seismic survey data in multiple directions; wherein the unmanned marine vessel comprises a power source configured to drive and provide propulsion to the unmanned marine vessel; and an umbilical cord for coupling the multi-dimensional seismic sensor array with the hull of the unmanned marine vessel, wherein the umbilical provides electrical communication between the unmanned marine vessel and the multi-dimensional seismic sensor array.

Multi-dimensional seismic sensor array

Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight 370.

Systems and methods for object location detection such as detecting airplane crash location

In some examples, an unmanned marine surface vessel connected to a three-dimensional array of sensors positioned are deployed in proximity with an obstruction area of a survey environment. The three-dimensional array of sensors positioned in proximity with the obstruction area of the survey environment records signals that are affected by a target structure.

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Houston, TX, United States of America

Nicolae Moldoveanu